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| Why Robots Are Studying Primates - The Economic Times | https://economictimes.indiatimes.com/ne… | 1 | Apr 25, 2026 16:00 | active | |
Why Robots Are Studying Primates - The Economic TimesDescription: Robots are evolving to become more socially intelligent. Scientists are studying primate behavior to enhance robot interaction. This involves teaching robots to use body language and sounds for communication and cooperation. Such advancements aim to make robots more predictable and emotionally engaging. Future developments may involve virtual robots replicating social environments. Content:
Robots are evolving to become more socially intelligent. Scientists are studying primate behavior to enhance robot interaction. This involves teaching robots to use body language and sounds for communication and cooperation. Such advancements aim to make robots more predictable and emotionally engaging. Future developments may involve virtual robots replicating social environments. Listen to this article in summarized format Unlock AI Briefing and Premium Content (Catch all the US News, UK News, Canada News, International Breaking News Events, and Latest News Updates on The Economic Times.) Download The Economic Times News App to get Daily International News Updates. (Catch all the US News, UK News, Canada News, International Breaking News Events, and Latest News Updates on The Economic Times.) Download The Economic Times News App to get Daily International News Updates. From fun to functional: How the modern Indian kitchen is becoming smarter Food safety drive in Ayodhya targets carbide-ripened fruits 'Will rename Kannauj to Gorakhpur...': ‘Saas-Bahu’ row explodes 'Will not be Trump's puppet': Warsh vows to safeguard Fed independence Defence Minister Rajnath Singh addresses Indian diaspora in Berlin Trump extends Iran ceasefire on Pakistan’s request FBI's Patel confronts reporter on allegations about drinking habit Sergio Gor marks 100 days in office, hails India-US ties Trump posts 'BIZARRE' farewell note as Tim Cook ... Shrinate jibes at PM Modi over 'Address to Nation' From fun to functional: How the modern Indian kitchen is becoming smarter Food safety drive in Ayodhya targets carbide-ripened fruits 'Will rename Kannauj to Gorakhpur...': ‘Saas-Bahu’ row explodes 'Will not be Trump's puppet': Warsh vows to safeguard Fed independence Defence Minister Rajnath Singh addresses Indian diaspora in Berlin Trump extends Iran ceasefire on Pakistan’s request FBI's Patel confronts reporter on allegations about drinking habit Sergio Gor marks 100 days in office, hails India-US ties Trump posts 'BIZARRE' farewell note as Tim Cook ... Shrinate jibes at PM Modi over 'Address to Nation' Hot on Web In Case you missed it Top Searched Companies Top Calculators Top Slideshow Top Prime Articles Top Commodities Most Searched IFSC Codes Top Definitions Private Companies Top Story Listing Latest News Follow us on: Find this comment offensive? Choose your reason below and click on the Report button. This will alert our moderators to take action Reason for reporting: Your Reason has been Reported to the admin. Log In/Connect with: Will be displayed Will not be displayed Will be displayed Stories you might be interested in
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| Travail social : que peut changer l’arrivée des robots humanoïdes … | https://dubasque.org/travail-social-que… | 1 | Apr 25, 2026 16:00 | active | |
Travail social : que peut changer l’arrivée des robots humanoïdes ? | Didier DubasqueURL: https://dubasque.org/travail-social-que-peut-changer-larrivee-des-robots-humanoides/ Description: Pour comprendre ce qui attend le travail social avec les futurs robots humanoïdes, il faut partir d’une scène en apparence banale : un jeune ingénieur indien Content:
Pour comprendre ce qui attend le travail social avec les futurs robots humanoïdes, il faut partir d’une scène en apparence banale : un jeune ingénieur indien qui plie des serviettes devant une caméra, des centaines de fois par jour. Dans la ville industrielle de Karur, au sud de l’Inde, Naveen Kumar fixe une GoPro sur son front, suit une chorégraphie minutieuse (prendre la serviette à droite, la secouer, la plier trois fois, la déposer à gauche) et recommence à la moindre erreur ou au moindre dépassement d’une minute. Ces gestes, corrigés, annotés, recombinés, servent à entraîner ce qu’on appelle désormais « l’IA physique » : des modèles capables de transformer des données et des mouvements en actions de robots humanoïdes dans notre monde matériel. Un article du Los Angeles Times montre comment des entreprises comme Objectways, Encord ou Micro1 produisent ces données. Il suffit de filmer des mouvements humains puis de les annoter, geste par geste, direction par direction, tout en tenant compte jusqu’à la couleur des objets sur la table. Des entrepôts en Europe de l’Est sont déjà prévus pour cette mission. C’est de là que des opérateurs guideront à distance des robots à l’autre bout du globe, joysticks à la main. Il s’agit dans un premier temps de leur apprendre à saisir une tasse ou plier un T-shirt. Derrière ces scènes très techniques se joue une question profondément sociale : dans quel monde du travail et dans quel paysage de l’action sociale ces robots humanoïdes vont nous faire entrer ? La dynamique actuelle reste d’abord industrielle. Tesla, Boston Dynamics, Nvidia, mais aussi une multitude de start-up moins connues, misent sur un marché des robots humanoïdes estimé à plusieurs dizaines de milliards de dollars dans la décennie à venir. La course est lancée pour produire des robots capables de manipuler des objets, se déplacer en milieu humain, exécuter une palette variée de tâches dans des entrepôts, des usines, des bureaux et à domicile. Pour l’instant, ces systèmes sont encore loin de l’autonomie totale. De nombreux robots présentés comme « humanoïdes » restent pilotés à distance. Aujourd’hui, ces capacités spectaculaires en mode téléopéré peuvent être impressionnantes. Mais l’intention des industriels est claire : accumuler des quantités massives de données de mouvement humain, de tentatives réussies et échouées, pour parvenir à des robots capables d’agir sans assistance humaine constante. Or, une fois cette étape franchie dans les chaînes logistiques, rien n’empêche ces mêmes technologies d’être testées ensuite dans le champ du soin, de l’accompagnement à domicile, de la gérontologie ou du handicap. Si les humanoïdes ne sont pas encore dans les services sociaux ou les foyers de l’aide sociale à l’enfance, des robots d’assistance sont déjà en phase de déploiement dans le secteur du care. Au Royaume-Uni, par exemple, une entreprise comme Cera annonce plusieurs milliers de visites hebdomadaires à domicile réalisées avec des robots d’assistance auprès de personnes âgées ou vulnérables. Ces dispositifs ne se présentent pas forcément sous la forme d’humanoïdes, mais ils collectent des données sur la santé et le bien-être, transmettent des alertes, et sont pensés comme des assistants domestiques capables de prendre en charge certains aspects du quotidien. Dans cette logique, les robots doivent permettre, selon leurs promoteurs, de réduire les coûts de prise en charge et de « libérer » du temps pour que les professionnels se concentrent sur les situations les plus complexes. C’est précisément là que les travailleurs sociaux, les auxiliaires de vie, les éducateurs spécialisés et les infirmiers ont un intérêt vital à être présents dans le débat : qui décide de ce qui est « simple » et de ce qui est « complexe » ? Qui détermine quelles interactions peuvent être confiées à des machines, et lesquelles nécessitent inconditionnellement une présence humaine ? Les chercheurs en robotique sociale alertent déjà sur un risque majeur : celui de substituer progressivement des robots aux relations humaines dans les contextes de vulnérabilité. Une revue récente sur les robots sociaux en soutien aux personnes âgées souligne que l’usage de ces technologies, lorsqu’il vise à pallier des manques de personnel, peut conduire à une forme de déshumanisation du care, en particulier dans les établissements sous-dotés. La tentation est grande, dans des systèmes déjà en tension, de compenser l’absence de professionnels par des dispositifs technologiques présentés comme « interactifs » ou « empathiques ». On voit bien comment, dans un contexte de pénurie de profesionnels et de difficultés de recrutement dans l’aide à domicile, les humanoïdes pourraient être avancés comme solution miracle. Il suffirait de les charger de tenir compagnie, de rappeler les rendez-vous, de surveiller les chutes, voire d’animer des activités. Or, les études sur les robots dits « sociaux » montrent que, s’ils peuvent soutenir certaines dimensions de l’accompagnement (rappels de traitement, mesure d’indicateurs, stimulation cognitive), ils ne peuvent ni comprendre la complexité d’un parcours de vie, ni assumer la responsabilité d’une décision dans une situation de danger ou de maltraitance. Le reportage du Los Angeles Times décrit un autre phénomène qui mérite un regard éthique : la capture massive de données sur les gestes quotidiens. Des entreprises paient des personnes pour porter des lunettes connectées qui enregistrent leurs actions ordinaires, dans leur cuisine, leur salon, leurs espaces de vie. Des accords passés avec de grands groupes immobiliers prévoient de filmer l’intérieur de milliers de logements pour collecter des données sur la façon dont les humains se déplacent et interagissent avec leur environnement domestique. Pour le travail social, cela pose au moins deux questions. D’abord, celle de la vie privée et du consentement : qui contrôle l’usage de ces images, leur conservation, leur combinaison avec d’autres données personnelles ? Ensuite, celle de la propriété du geste : à qui appartiennent ces mouvements, ces routines, ces façons singulières de plier du linge, de préparer un repas, de se lever d’un fauteuil quand on a mal aux genoux ? Quand ces gestes sont traduits en algorithmes et déployés à grande échelle dans des robots, l’expérience corporelle de personnes parfois précaires devient une ressource pour l’industrie, sans aucune reconnaissance sociale ni juridique. Car il faut bien comprendre que dans l’objectif d’aider les personnes fragiles ou handicapées, Il faudra d’abord capter leurs mouvements. Il s’agira d’intégrer ces données en vue de permettre des interactions qui soient adaptées. C’est assez difficile à croire, mais notre société va vers cela. Ce n’est pas pour demain en tout cas. Mais il est facile d’imaginer sans peine le discours qui ne manquera pas d’apparaître : pourquoi ne pas confier à un humanoïde les premiers accueils simples avec des questions standardisées pour orienter ou apporter une première réponse dans un contexte de files d’attente et de manque de personnels ? Des robots capables de poser des questions standardisées, de noter les réponses, de transmettre un résumé à un travailleur social humain. Des robots installés dans des halls de service social ou des établissements médico-sociaux pour « orienter » le public, filtrer les demandes, gérer les situations considérées comme administratives. Nous savons que personne n’est préparé ni prêt à accepter cela… Pour l’instant. Car qui imaginait il y a seulement dix ans que de nombreuses personnes se confieraient comme aujourd’hui auprès de chatbots boosté à l’intelligence artificielle ? Il a suffit de mettre sur le marché gratuitement des IA génératives pour que toute une population s’en empare pour leur confier certains aspects les plus intimes de leur vie. Les recherches en interaction homme-robot montrent déjà que des robots sociaux peuvent être utilisés pour collecter des informations sur la douleur, le handicap, l’état de santé, à travers des questionnaires standardisés, avec un certain niveau de satisfaction des usagers. Transposé à l’action sociale, cela pourrait conduire à externaliser à la machine la première interface avec les publics, au risque de dégrader la qualité de la relation d’accueil, d’invisibiliser des signaux faibles de détresse ou de danger, de renforcer la standardisation des réponses. Là encore, la question n’est pas uniquement technique : il s’agit de savoir ce que nous acceptons – ou refusons – de déléguer à un artefact dans la rencontre avec une personne en difficulté. Je crois que pour le moment la réponse est claire : c’est non. Nous considérons que cette perspective est éthiquement et humainement innaceptable. Mais qu’en sera-t-il demain ? En attendant rien ne vous empêche désormais d’acquérir un beau robot humanoïde chez ali-express. La version humanoïde éducatif H2 personnalisée alimentée par l’IA, tout-terrain, pour les applications industrielles, de recherche et de service vous coutera 37.600,99€ à l’heure où j’écris cet article. Mais quand on aime, on ne compte pas ! Sources : Lire aussi : Photo : © Roboto.fr Partager Articles liés : Votre adresse e-mail ne sera pas publiée. Les champs obligatoires sont indiqués avec * Commentaire * Nom * E-mail * Site web Enregistrer mon nom, mon e-mail et mon site dans le navigateur pour mon prochain commentaire. Prévenez-moi de tous les nouveaux commentaires par e-mail. Prévenez-moi de tous les nouveaux articles par e-mail. Δ Ce site utilise Akismet pour réduire les indésirables. En savoir plus sur la façon dont les données de vos commentaires sont traitées. Je suis actuellement codirecteur de collection « Politiques & Interventions Sociales » aux presses de l’EHESP. À ce titre, j’audite les projets de publication des auteurs qui composent ou rejoignent la collection. Je suis aussi coanimateur de l’e-communauté « Inclusion Sociale » du CNFPT. (Agents de la fonction publique, n’hésitez pas nous rejoindre, l’inscription est gratuite) Auteur de deux livres, j’ai été personne qualifiée au sein du Conseil Supérieur du Travail Social puis du Haut Conseil du Travail Social (HCTS). J’ai exercé pendant 29 ans au sein du Conseil Départemental de Loire-Atlantique et présidé de l’Association Nationale des Assistants de Service Social de 2002 à 2005 (puis vice-président de 2008 à 2011). Adhérent de l’ARIFTS, le centre de formation des travailleurs sociaux en Pays de Loire, et du collectif « Changer de Cap », mon objectif est de témoigner des réalités et pratiques de travail social et de tenter, à ma mesure, d’enrichir la réflexion et la connaissance professionnelle des travailleurs sociaux. Saisissez votre adresse pour vous abonner à ce blog et recevoir une notification de chaque nouvel article par e-mail. Adresse e-mail Abonnez-vous Images de stock fournies par DepositPhotos Conception du site Armada Communication
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| China’s Humanoid Robots Are Now as Fast as Usain Bolt | https://www.odditycentral.com/news/chin… | 1 | Apr 25, 2026 08:00 | active | |
China’s Humanoid Robots Are Now as Fast as Usain BoltURL: https://www.odditycentral.com/news/chinas-humanoid-robots-are-now-as-fast-as-usain-bolt.html Description: At least two Chinese robotics companies have announced that their humanoid robots can now run at speeds of up to 10 meters per second. Content:
Usain Bolt is the fastest human being ever, but just like our jobs and probably our very existence, his incredible record is now under threat from AI-powered humanoid robots. Chinese robotics giant Unitree recently showcased footage of its H1 robot breaking the world record for the fastest 100-meter sprint by a humanoid robot, reaching 10 meters per second. During his phenomenal 2009 performance, Jamaican sprinter Usain Bolt reached a top speed of approximately 12.42 meters per second, but his average speed over the 100-meter race was 10.44 meters per second. Now, that incredible speed can be matched by humanoid robots! Unitree Robotics recently released new test footage of its H1 humanoid robot sprinting at speeds of up to 10.1 metres/s on a track, putting it in the same ballpark as the Jamaican sprinting legend. The company acknowledged that there may have been “minor measurement inaccuracies” during the test, but the performance of the H1 is still regarded as a major milestone in bipedal robot mobility. “10 m/s!! Unitree Breaks the World Record Again. With the physique of an ordinary person, running at a world champion’s speed,” Unitree captioned its viral video. Believe it or not, a couple of years ago, we wrote about Star1, the fastest bipedal humanoid robot at the time. It ran at a speed of 8 miles per hour. At its peak, the Unitree H1 reached a whopping 22 mph. It’s amazing how fast technology has improved. Interestingly, another Chinese firm, MirrorMe, showcased its own humanoid robot capable of running at incredible speeds. Named Bolt, it is also capable of reaching 10m/s, making it a direct competitor of the H1. For the world’s fastest quadruped robot, check out Mirror Me’s Black Panther. Get new posts by email. Subscribe
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| New Android development tool designed for robots, not humans • … | https://www.theregister.com/2026/04/20/… | 1 | Apr 25, 2026 00:00 | active | |
New Android development tool designed for robots, not humans • The RegisterURL: https://www.theregister.com/2026/04/20/google_previews_android_cli/ Description: : Google previews Android CLI as agentic development continues to snowball Content:
My Account The Register Home Page Google has introduced a new Android command-line interface built specifically for AI agents, claiming a 70 percent cut in token usage and three times reduction in task completion time. Using the Android CLI with Google Gemini to build and test an Android application (from official Google video) (click to enlarge) The primary Android development environment remains Android Studio, which has built-in support for AI agents, but the new CLI means that agents working outside Android Studio can more easily build Android applications. The CLI is not a replacement for Android Studio, and applications built with the CLI can also be opened in the IDE (integrated development environment). "You can start a prototype quickly with an agent using Android CLI and then open the project in Android Studio to fine-tune your UI," states the introductory post. The CLI itself is not powered by AI and is also suitable for use by scripts and other automation tools, or by developers who prefer working in a code editor rather than a full IDE. Installing the Android CLI, available for Apple silicon, AMD64 Linux and AMD64 Windows, enables the android command, with arguments for creating applications from templates, installing and managing the Android SDK and device emulators, and finding and listing Android skills, these being instruction files which assist agents to perform specific tasks. There is also a "describe" argument, which analyzes a project and generates descriptive metadata; and a "docs" argument, which searches and fetches documentation from the Android knowledge base. Android skills are available in a GitHub repository. Currently only 7 skills are listed but more are likely to follow. The terms of service reveal that Google collects Android CLI usage data by default, to "help improve the tool." Commands can be excluded from data collection by adding the --no-metric flag. The Android CLI including the data collection policy and available commands - click to enlarge Early reaction to the Android CLI is mixed, with some developers finding it too limited. "All it offers is some wrapper around the basic Android setup command that LLMs are already good at," said one. The CLI is likely to improve though, and more skills and templates will become available. Traditional IDEs are optimized for use by humans rather than AI agents, and Google is not the only vendor thinking about how AI will reshape development tools. Microsoft talked of a "fundamental shift in how we think about IDEs," in reference to a new agentic Visual Studio feature; and JetBrains has previewed Central as a system for agentic software development. One of the functions of an IDE is to make it easy to see and navigate all the code that forms a software project. Having AI agents work with the command line instead helps them to work more efficiently, but may further distance software development from the developer, as code is generated and compiled behind the scenes. ® Send us news Biting the hand that feeds IT Copyright. All rights reserved © 1998–2026
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| Why engineers are teaching humanoid robots to move and groove … | https://www.foxnews.com/tech/why-engine… | 1 | Apr 24, 2026 00:00 | active | |
Why engineers are teaching humanoid robots to move and groove | Fox NewsURL: https://www.foxnews.com/tech/why-engineers-teaching-humanoid-robots-move-groove Description: A robot developed by the University of California San Diego can learn dance routines, wave, high-five and give people hugs while walking like a human. Content:
This material may not be published, broadcast, rewritten, or redistributed. ©2026 FOX News Network, LLC. All rights reserved. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset. Powered and implemented by FactSet Digital Solutions. Legal Statement. Mutual Fund and ETF data provided by LSEG. Engineers have developed a humanoid robot that can perform a variety of expressive movements. Are you ready for a future where robots can dance, high-five and even hug humans? Well, that future might be closer than you think. Engineers at the University of California San Diego have developed a humanoid robot that can perform a variety of expressive movements while maintaining its balance on different terrains. GET SECURITY ALERTS, EXPERT TIPS - SIGN UP FOR KURT’S NEWSLETTER - THE CYBERGUY REPORT HERE Expressive humanoid robot (University of California San Diego) This isn't your average clunky robot. We're talking about a machine that can learn simple dance routines, wave, high-five and even give hugs, all while walking steadily on surfaces like gravel, dirt and inclined concrete paths. Expressive humanoid robot (University of California San Diego) CHINA UNVEILS ITS FIRST FULL-SIZE ELECTRIC RUNNING HUMANOID ROBOT The secret sauce behind this robot's impressive moves is its training. The engineers taught the robot using a diverse array of human body motions, including motion capture data and dance videos. They even trained the upper and lower body separately, allowing the robot to perform complex gestures with its arms while its legs focused on keeping it upright and moving. Talk about multitasking. WHAT IS ARTIFICIAL INTELLIGENCE (AI)? Expressive humanoid robot (University of California San Diego) ELECTRIC HUMANOID ROBOT POISED TO SHAKE UP THE JOB MARKET While a dancing robot might sound like a fun novelty, the implications of this technology are far-reaching. This humanoid robot's enhanced expressiveness and agility could improve human-robot interactions in various settings, including factory assembly lines, hospitals, homes and hazardous environments like laboratories or disaster sites. Expressive humanoid robot (University of California San Diego) Professor Xiaolong Wang, who led the research, envisions robots that are more approachable and less intimidating. "Through expressive and more human-like body motions, we aim to build trust and showcase the potential for robots to co-exist in harmony with humans," he said. It's a far cry from the menacing robots we often see in science fiction. Expressive humanoid robot (University of California San Diego) HOW 1X'S HUMANOID ROBOT IS PUTTING A STOP TO YOU HAVING TO FOLD LAUNDRY Currently, the humanoid robot's movements are directed by a human operator using a game controller, which dictates its speed, direction and specific motions. However, the research team envisions a future version equipped with a camera, enabling the robot to perform tasks and navigate terrain autonomously. The engineers are now focused on refining the robot's design to tackle more intricate and fine-grained tasks, aiming to expand the robot's range of motions and gestures. Expressive humanoid robot diagrams (University of California San Diego) This research was recently presented at the 2024 Robotics: Science and Systems Conference, in Delft, Netherlands. The presentation marks an important step forward in the field of robotics, potentially reshaping public perceptions of robots as friendly and collaborative rather than intimidating. Expressive humanoid robot (University of California San Diego) GET FOX BUSINESS ON THE GO BY CLICKING HERE The development of this expressive humanoid robot at UC San Diego marks an interesting step forward in robotics. By combining advanced artificial intelligence training techniques with a focus on human-like expressiveness, the team is paving the way for robots that can interact more naturally and comfortably with humans. As this technology continues to evolve, we might see robots becoming increasingly integrated into our daily lives as helpful assistants capable of expressing themselves in ways we can intuitively understand. The future of human-robot interaction is looking more dynamic, expressive and perhaps even a bit more fun than we might have imagined. CLICK HERE TO GET THE FOX NEWS APP What concerns you most about these humanoid robots? Do you worry they could be hacked or manipulated beyond their intended purposes? Let us know by writing us at Cyberguy.com/Contact For more of my tech tips and security alerts, subscribe to my free CyberGuy Report Newsletter by heading to Cyberguy.com/Newsletter Ask Kurt a question or let us know what stories you'd like us to cover Follow Kurt on his social channels Answers to the most asked CyberGuy questions: Copyright 2024 CyberGuy.com. All rights reserved. Kurt "CyberGuy" Knutsson is an award-winning tech journalist who has a deep love of technology, gear and gadgets that make life better with his contributions for Fox News & FOX Business beginning mornings on "FOX & Friends." Got a tech question? Get Kurt’s free CyberGuy Newsletter, share your voice, a story idea or comment at CyberGuy.com. Get a daily look at what’s developing in science and technology throughout the world. Subscribed You've successfully subscribed to this newsletter! This material may not be published, broadcast, rewritten, or redistributed. ©2026 FOX News Network, LLC. All rights reserved. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset. Powered and implemented by FactSet Digital Solutions. Legal Statement. Mutual Fund and ETF data provided by LSEG.
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| AI-powered robots offer new hope to German factories - Japan … | https://japantoday.com/category/tech/ai… | 1 | Apr 23, 2026 16:00 | active | |
AI-powered robots offer new hope to German factories - Japan TodayURL: https://japantoday.com/category/tech/ai-powered-robots-offer-new-hope-to-german-factories Description: A blue-eyed humanoid robot carefully opens a box and places a tool inside as a crowd of visitors watch the demonstration of "physical AI" skills at a major industrial trade fair in Germany. Made by German startup Agile Robots, it was among a host of robots showing off their moves… Content:
JapanToday Sotokanda S Bldg. 4F 5-2-1 Sotokanda Chiyoda-ku Tokyo 101-0021 Japan Tel: +81 3 5829 5900 Fax: +81 3 5829 5919 Email: editor@japantoday.com ©2026 GPlusMedia Inc. A blue-eyed humanoid robot carefully opens a box and places a tool inside as a crowd of visitors watch the demonstration of "physical AI" skills at a major industrial trade fair in Germany. Made by German startup Agile Robots, it was among a host of robots showing off their moves at the event, underlining hopes of a coming AI-powered boost for Germany's long-struggling factories. Embedding the technology into industrial processes, where Europe already has deep expertise, is seen as a key route for the continent to catch up in the artificial intelligence race against the United States and China. Such AI-boosted robots make it possible to "actually solve industrial problems", Rory Sexton, chief executive of Agile Robots, told AFP in an interview. From next year, he added, the company plans to begin fitting out German factories, particularly those in the automotive industry, a crucial sector for Europe's biggest economy. Artificial intelligence used for real-world, hands-on tasks -- so-called physical AI -- was in focus this year in Hanover at the world's biggest industrial technology fair, which brings together more than 3,000 exhibitors. Chancellor Friedrich Merz visited the Agile Robots stand, where he talked to Zhaopeng Chen, the Chinese founder of the Munich-based startup. In a speech at the fair, Merz threw his support behind the drive to encourage German manufacturers, many of whom still rely on traditional techniques, to step up their use of AI. AI should be "embedded in the key sectors of our industry and especially" in small- and medium-sized firms, the backbone of the German economy, to create "industrial added value and high-quality jobs", he said. But, like in many other industries, German manufacturers are playing catch-up against China when it comes to making humanoid robots. Merz witnessed China's progress in the field first-hand during a visit to the country in February, when he saw displays of Chinese-made robots performing kung fu and boxing. The maker of those robots, Unitree, and other Chinese manufacturers were also out in force at the Hanover fair, as they have been in previous years. Still, Sexton of Agile Robots insisted that "we'll soon be able to do what (Unitree) are doing", and shrugged off such impressive public displays. Rather than dancing or martial arts, Agile Robots is focused on "value-added tasks for industry", such as electronic wiring in cars or phone assembly, he said. He emphasised that Germany offers an "ecosystem of suppliers" and "very strong expertise in mechanical engineering and automation", both crucial in the race for AI. Companies are also hopeful about the technological developments -- 58 percent of industrial firms surveyed by German digital business association Bitkom believe humanoid robots could help plug skilled labour shortages. The country also has deep pools of industrial data to draw on from its factories, according to Antonio Krueger, head of the German Research Centre for Artificial Intelligence (DFKI). "This is something we have at a level of quality far superior to the United States or China," he told AFP. But, critics say, the use of this data is still often too piecemeal and isolated, with no overarching strategy to bring it together cohesively. Not everyone in Hanover was convinced that AI was the solution to the woes of Germany manufacturers, who have long been struggling with issues from high energy costs to weak demand. Jochen Heinz, an executive from German factory machinery maker SW Machines, cautioned that AI can sometimes make mistakes by, for instance, giving misleading instructions for repairs or incorrectly claiming to have detected problems. "With AI, I also see the dark side of the force," he said. Highlights from the CJPF Award Ceremony Learn More Highlights from the CJPF Award Ceremony Use your Facebook account to login or register with JapanToday. By doing so, you will also receive an email inviting you to receive our news alerts. Highlights from the CJPF Award Ceremony Learn More Highlights from the CJPF Award Ceremony A mix of what's trending on our other sites GaijinPot Blog
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| AI-powered robots offer new hope to German factories | https://www.thelocal.de/20260422/ai-pow… | 1 | Apr 23, 2026 16:00 | active | |
AI-powered robots offer new hope to German factoriesURL: https://www.thelocal.de/20260422/ai-powered-robots-offer-new-hope-to-german-factories Description: Humanoid robots were on full display at an industry trade fair in Hanover this week. Chancellor Merz endorsed AI technologies as key to reviving German industry, but China still dominates the sector. Content:
The Local Europe ABVästmannagatan 43113 25 StockholmSweden Humanoid robots were on full display at an industry trade fair in Hanover this week. Chancellor Merz endorsed AI technologies as key to reviving German industry, but China still dominates the sector. A blue-eyed humanoid robot carefully opens a box and places a tool inside as a crowd of visitors watch the demonstration of "physical AI" skills at a major industrial trade fair in Germany. Made by German startup Agile Robots, it was among a host of robots showing off their moves at the event, underlining hopes of a coming AI-powered boost for Germany's long-struggling factories. Embedding the technology into industrial processes, where Europe already has deep expertise, is seen as a key route for the continent to catch up in the artificial intelligence race against the United States and China. Such AI-boosted robots make it possible to "actually solve industrial problems", Rory Sexton, chief executive of Agile Robots, told AFP in an interview. From next year, he added, the company plans to begin fitting out German factories, particularly those in the automotive industry, a crucial sector for Europe's biggest economy. Artificial intelligence used for real-world, hands-on tasks -- so-called physical AI -- was in focus this year in Hanover at the world's biggest industrial technology fair, which brings together more than 3,000 exhibitors. Chancellor Friedrich Merz visited the Agile Robots stand, where he talked to Zhaopeng Chen, the Chinese founder of the Munich-based startup. In a speech at the fair, Merz threw his support behind the drive to encourage German manufacturers, many of whom still rely on traditional techniques, to step up their use of AI. AI should be "embedded in the key sectors of our industry and especially" in small- and medium-sized firms, the backbone of the German economy, to create "industrial added value and high-quality jobs", he said. 'Dark side' of AI But, like in many other industries, German manufacturers are playing catch-up against China when it comes to making humanoid robots. Merz witnessed China's progress in the field first-hand during a visit to the country in February, when he saw displays of Chinese-made robots performing kung fu and boxing. The maker of those robots, Unitree, and other Chinese manufacturers were also out in force at the Hanover fair, as they have been in previous years. Still, Sexton of Agile Robots insisted that "we'll soon be able to do what (Unitree) are doing", and shrugged off such impressive public displays. Rather than dancing or martial arts, Agile Robots is focused on "value-added tasks for industry", such as electronic wiring in cars or phone assembly, he said. He emphasised that Germany offers an "ecosystem of suppliers" and "very strong expertise in mechanical engineering and automation", both crucial in the race for AI. Companies are also hopeful about the technological developments -- 58 percent of industrial firms surveyed by German digital business association Bitkom believe humanoid robots could help plug skilled labour shortages. The country also has deep pools of industrial data to draw on from its factories, according to Antonio Krueger, head of the German Research Centre for Artificial Intelligence (DFKI). "This is something we have at a level of quality far superior to the United States or China," he told AFP. But, critics say, the use of this data is still often too piecemeal and isolated, with no overarching strategy to bring it together cohesively. Not everyone in Hanover was convinced that AI was the solution to the woes of Germany manufacturers, who have long been struggling with issues from high energy costs to weak demand. Jochen Heinz, an executive from German factory machinery maker SW Machines, cautioned that AI can sometimes make mistakes by, for instance, giving misleading instructions for repairs or incorrectly claiming to have detected problems. "With AI, I also see the dark side of the force," he said. Please sign up or log in to continue reading Join the conversation in our comments section below. Share your own views and experience and if you have a question or suggestion for our journalists then email us at news@thelocal.de. Please keep comments civil, constructive and on topic – and make sure to read our terms of use before getting involved. Please log in here to leave a comment. The Local Europe ABVästmannagatan 43113 25 StockholmSweden By signing up you agree to our Terms of Use and Privacy Policy. We will use your email address to send you newsletters as well as information and offers related to your account. 2026 The Local, All Rights Reserved.
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| Naver showcases AI robots across ‘lab-like’ headquarters - UPI.com | https://www.upi.com/Top_News/World-News… | 1 | Apr 23, 2026 16:00 | active | |
Naver showcases AI robots across ‘lab-like’ headquarters - UPI.comURL: https://www.upi.com/Top_News/World-News/2026/04/17/tech-company-naver-ai-robot/7561776463519/ Description: S. Korean tech company Naver is expanding its AI capabilities with robots operating throughout its headquarters, as the firm ramps up investment. Content:
April 16 (Asia Today) -- South Korean tech company Naver is expanding its artificial intelligence capabilities with robots operating throughout its headquarters, as the firm ramps up investment in next-generation technologies. At the company's second headquarters in Seongnam, south of Seoul, robots are deployed across the building, which spans from a basement level to 28 above-ground floors. The facility has been described by the company as functioning like a "living laboratory" for AI and robotics. About 100 service robots, known internally as "Rookie," assist employees by delivering food, beverages and packages, as well as transporting documents. Workers can summon the robots through a mobile application and verify their identity upon arrival. The robots are designed to move autonomously throughout the entire building. They can pass through security gates, use elevators and navigate between floors without human assistance, a capability that sets them apart from robots typically confined to a single floor or designated area. Related Airlines in South Korea face record fuel surcharges South Korea to receive 27 million barrels of crude oil in June South Korea watchdog flags 'revolving door' in agencies "The ability for robots to use elevators and travel across the entire building is a distinctive feature," a company official said, adding that the machines are positioned for easy access and operate based on time-specific tasks. The robotics technology is being developed by Naver Labs, a research subsidiary focused on advancing automation systems. Inside the facility, various robots - including wheeled service units and bipedal machines - are being tested as part of efforts to build a broader robotics ecosystem. A key component of the system is "ARC Brain," a cloud-based platform that allows centralized control and coordination of multiple robots. The system is designed to improve efficiency by enabling simultaneous management of a fleet of machines. "Improving productivity by having robots perform tasks traditionally done by humans is essential," the official said. "That requires an integrated system capable of managing multiple robots at once." Beyond robotics, the company is also strengthening AI features in its core search business. It plans to introduce an "AI tab" following the rollout of its AI briefing service last year. Naver reported record results in 2025, with revenue reaching 12.35 trillion won ($8.2 billion) and operating profit of 2.21 trillion won ($1.47 billion). Market forecasts suggest the company will post another record this year, with revenue projected at 13.41 trillion won ($8.9 billion) and operating profit at 2.45 trillion won ($1.63 billion). -- Reported by Asia Today; translated by UPI © Asia Today. Unauthorized reproduction or redistribution prohibited. Original Korean report: https://www.asiatoday.co.kr/kn/view.php?key=20260416010005223 Latest Headlines World News // 10 minutes ago From Ukraine to Taiwan: Drone warfare lessons meet Indo-Pacific reality April 23 (UPI) -- As tensions simmer across the Taiwan Strait, Taiwan is quietly accelerating a shift toward a less costly, less-vulnerable drone-centric defense, World News // 1 hour ago Peru's F-16 purchase from U.S. sparks political crisis, resignations April 23 (UPI) -- Peru's planned purchase of 12 F-16 fighter jets from a United States firm has triggered a new political crisis in the South American nation. World News // 2 hours ago Britain, France sign $894M deal to stop migrant boats crossing Channel April 23 (UPI) -- Britain and France inked an agreement to tackle small boats carrying asylum seekers attempting to get to England, including the use of riot police. World News // 4 hours ago Trump says he is under 'no pressure' to bring an end to war with Iran April 23 (UPI) -- The extension to America's truce with Iran has no expiry date and there is no time pressure end the war, U.S. President Donald Trump has insisted. World News // 6 hours ago Mother sentenced to life for brutal abuse, murder of 4-month-old son A woman who brutally beat her four-month-old son and left him to die in a bathtub was sentenced Thursday to life imprisonment in a child abuse case that stunned the nation. World News // 6 hours ago S. Korean special envoy calls for safe Hormuz transit in meeting with Iran's FM South Korea's special envoy to Iran has met with Iran's foreign minister and called for efforts to ensure safe passage through the Strait of Hormuz, Seoul's foreign ministry said Thursday. World News // 7 hours ago South Korea GDP surges as chip demand powers economy SEOUL, April 23 (UPI) -- South Korea's economy grew at its fastest pace in nearly six years in the first quarter, central bank data showed Thursday, beating expectations. World News // 13 hours ago Czech Republic deepens nuclear partnership with Korea April 22 (Asia Today) -- The Czech Republic said its nuclear power project with South Korea is progressing on schedule, signaling potential expansion of cooperation. World News // 13 hours ago Global nuclear leaders gather in Busan for AI-era energy April 22 (Asia Today) -- Global nuclear industry leaders gathered in Busan, highlighting the growing role of nuclear power in meeting surging electricity demand driven by AI. World News // 14 hours ago Remarks on North Korea site spark U.S. intel-sharing concerns April 22 (Asia Today) -- Comments by S. Korea's unification minister about a suspected N. Korean nuclear site have sparked controversy, with the issue expanding into concerns. April 16 (Asia Today) -- South Korean tech company Naver is expanding its artificial intelligence capabilities with robots operating throughout its headquarters, as the firm ramps up investment in next-generation technologies. At the company's second headquarters in Seongnam, south of Seoul, robots are deployed across the building, which spans from a basement level to 28 above-ground floors. The facility has been described by the company as functioning like a "living laboratory" for AI and robotics. About 100 service robots, known internally as "Rookie," assist employees by delivering food, beverages and packages, as well as transporting documents. Workers can summon the robots through a mobile application and verify their identity upon arrival. The robots are designed to move autonomously throughout the entire building. They can pass through security gates, use elevators and navigate between floors without human assistance, a capability that sets them apart from robots typically confined to a single floor or designated area. Related Airlines in South Korea face record fuel surcharges South Korea to receive 27 million barrels of crude oil in June South Korea watchdog flags 'revolving door' in agencies "The ability for robots to use elevators and travel across the entire building is a distinctive feature," a company official said, adding that the machines are positioned for easy access and operate based on time-specific tasks. The robotics technology is being developed by Naver Labs, a research subsidiary focused on advancing automation systems. Inside the facility, various robots - including wheeled service units and bipedal machines - are being tested as part of efforts to build a broader robotics ecosystem. A key component of the system is "ARC Brain," a cloud-based platform that allows centralized control and coordination of multiple robots. The system is designed to improve efficiency by enabling simultaneous management of a fleet of machines. "Improving productivity by having robots perform tasks traditionally done by humans is essential," the official said. "That requires an integrated system capable of managing multiple robots at once." Beyond robotics, the company is also strengthening AI features in its core search business. It plans to introduce an "AI tab" following the rollout of its AI briefing service last year. Naver reported record results in 2025, with revenue reaching 12.35 trillion won ($8.2 billion) and operating profit of 2.21 trillion won ($1.47 billion). Market forecasts suggest the company will post another record this year, with revenue projected at 13.41 trillion won ($8.9 billion) and operating profit at 2.45 trillion won ($1.63 billion). -- Reported by Asia Today; translated by UPI © Asia Today. Unauthorized reproduction or redistribution prohibited. Original Korean report: https://www.asiatoday.co.kr/kn/view.php?key=20260416010005223
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| Robots beat human records at Beijing half-marathon | TechCrunch | https://techcrunch.com/2026/04/19/robot… | 1 | Apr 23, 2026 00:00 | active | |
Robots beat human records at Beijing half-marathon | TechCrunchURL: https://techcrunch.com/2026/04/19/robots-beat-human-records-at-beijing-half-marathon/ Description: The winning time is a massive improvement over last year’s race, when the fastest robot finished in two hours and 40 minutes. Content:
The first StrictlyVC of 2026 hits SF on April 30. Tickets are going fast. Register now. Save up to $680 on your Disrupt 2026 pass. Ends 11:59 p.m. PT tonight. REGISTER NOW. Latest AI Amazon Apps Biotech & Health Climate Cloud Computing Commerce Crypto Enterprise EVs Fintech Fundraising Gadgets Gaming Google Government & Policy Hardware Instagram Layoffs Media & Entertainment Meta Microsoft Privacy Robotics Security Social Space Startups TikTok Transportation Venture Staff Events Startup Battlefield StrictlyVC Newsletters Podcasts Videos Partner Content TechCrunch Brand Studio Crunchboard Contact Us Posted: The winning runner at a Beijing half-marathon for humanoid robots finished the race today in 50 minutes and 26 seconds — significantly faster than the human world record of 57 minutes recently set by Jacob Kiplimo. Comparing human and robot running times may seem unfair; one social media user observed, “my car can outrun a cheetah too.” Still, the winning time is a massive improvement over last year’s race, when the fastest robot finished in two hours and 40 minutes. (Back then, I scoffed that this “would not be an impressive time for a human.”) The Associated Press reports that this year’s winner was built by Chinese smartphone maker Honor. It seems the winning robot wasn’t actually the fastest, as a different Honor robot finished in 48 minutes and 19 seconds. But that one was remote controlled — the 50:26 robot was autonomous and won due to weighted scoring. About 40% of participating robots competed autonomously, while the remaining 60% were remote controlled, according to Beijing’s E-Town tech hub. Not all of them did as well as Honor’s robots, with one robot falling at the starting line and another hitting a barrier. Topics StrictlyVC kicks off the year in SF. Get in the room for unfiltered fireside chats with industry leaders, insider VC insights, and high-value connections that actually move the needle. Tickets are limited. Subscribe for the industry’s biggest tech news Every weekday and Sunday, you can get the best of TechCrunch’s coverage. TechCrunch Mobility is your destination for transportation news and insight. Startups are the core of TechCrunch, so get our best coverage delivered weekly. Provides movers and shakers with the info they need to start their day. By submitting your email, you agree to our Terms and Privacy Notice. © 2026 TechCrunch Media LLC.
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| Delivery Robots Lead Grab’s AI Expansion | https://www.pymnts.com/news/delivery/20… | 1 | Apr 22, 2026 16:00 | active | |
Delivery Robots Lead Grab’s AI ExpansionURL: https://www.pymnts.com/news/delivery/2026/delivery-robots-lead-grabs-ai-expansion/ Content:
Grab is preparing to launch artificial intelligence-powered robots “very soon” to help delivery drivers pick up meal orders from restaurants more quickly, according to Grab Co-founder and Group CEO Anthony Tan. Complete the form to unlock this article and enjoy unlimited free access to all PYMNTS content — no additional logins required. yesSubscribe to our daily newsletter, PYMNTS Today. By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. Δ The robot, dubbed “Carri,” is one of several AI-powered solutions unveiled by Tan in a speech at GrabX 2026, the company’s annual product event. Grab is a super app that operates in Southeast Asia and offers food and grocery deliveries, ride-hailing services and digital financial services. Carri is designed to assist drivers, not replace them, Tan said during the speech. “Our drivers lose around 10% of their earning time looking for a restaurant in a mall or waiting for their customers to come down from office towers,” Tan said. “If this little fellow can help handle that ‘wait’ by finding the restaurant and passing the order to the driver, it allows our drivers to move to the next job more quickly.” PYMNTS reported in March that physical AI is drawing investor attention as venture funding flows toward companies building systems designed to operate in the physical world. On Wednesday (April 15) it was reported that Barclays said robots and drones could reduce food delivery costs to as little as $1 per order. Advertisement: Scroll to Continue Together with Carri, Grab unveiled 13 AI-powered experiences at GrabX 2026, the company said in an April 8 press release. For consumers, Grab introduced Group Ride, which helps riders save on fares by sharing a ride with others; GrabMore, which allows customers to have orders from two merchants delivered with a single delivery fee; Grab Shopping Agent, which is part of Grab AI Assistant; GrabMaps for Consumers, which integrates a Journey Planner and other tools with maps; and Cash Loan, which offers credit to consumers who have limited financial history. For travelers, the company unveiled Personalised Travel Experiences, an AI travel companion that shares information and reminders; GrabStays, which serves as a hotel booking service; Discover by Grab, which provides a guide to local restaurants; and GrabPay for Travel, which aids with payments across Southeast Asia. For merchants and drivers, Grab announced Virtual Store Manager, which uses CCTV hardware to provide information to managers; Cloud Printer, which automatically prints orders for kitchen staff; Tap to Pay, which turns GrabMerchant-enabled smartphones into contactless payment terminals; and Driver AI Assistant, which answers drivers’ questions. “We believe that everyone — regardless of their technical skill — should have the opportunity to jump on this AI wave, not be swept away by it,” Tan said during his speech. “And we want to help as many people as we can.” For all PYMNTS AI coverage, subscribe to the daily AI Newsletter. Delivery Robots Lead Grab’s AI Expansion Circle Chief Says China Could Issue Stablecoin in 3 to 5 Years Amex Acquires Hyper to Boost AI and Expense Management Offerings Anthropic Ready to Offer Mythos to British Banks Get PYMNTS Today, AI, B2B and more. We’re always on the lookout for opportunities to partner with innovators and disruptors.
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| Q&A: Clearpath Robotics’ Ryan Gariepy on killer robots and Canada’s … | https://betakit.com/qa-clearpath-roboti… | 1 | Apr 22, 2026 08:00 | active | |
Q&A: Clearpath Robotics’ Ryan Gariepy on killer robots and Canada’s defence strategy | BetaKitDescription: The industry leader says Canada is leaving opportunity on the table in robotics. Content:
Ryan Gariepy has been building Canadian robots for nearly two decades. He has also been an outspoken advocate for how they should and should not be used in a military context. Gariepy co-founded Kitchener-Waterloo’s Clearpath Robotics in 2009, co-leading the company as CTO until its acquisition by US industrial automation giant Rockwell Automation in 2023 at a reported price tag of about $600-million USD. These days, Gariepy works as Rockwell’s vice-president of robotics and chairs the Canadian Robotics Council, with a keen eye towards building up the country’s robot-making industry. BetaKit reporter Josh Scott sat down with Gariepy to unpack his thoughts on the recent killer robot discussions that have been brought to the fore by AI, how robotics can help Canada realize its new defence ambitions, and whether the country is doing enough to capture the opportunity he sees. The following interview has been edited for length and clarity. There are a lot of areas where we could be using robots a lot more in Canada, and with that, there could be a lot more robotics companies in Canada. Canada is very well-positioned to be a global leader in robotics. Something that Canada has going for us is this mix of a physical, industry-powered economy and a very educated and cosmopolitan populace. The vast majority of modern mines are going to be using robots to some degree. The same is true for modern manufacturing of any sort, whether it’s cars, whether it’s food, or whether it’s pharma. But they can always be used more. If you go to any modern plant in Canada, it’s heavily using robotics. But then as you go into the broader supply chain you’re less likely to run into robots there. Robots tend to be concentrated more in the large businesses, not because they can’t help in the small business but because they have more time, possibly more capital, and more ability to take some of that risk. We could ask the Ukrainians. We could also ask anyone who’s had to do a long posting in the Arctic. We have a lot more space, we have a lot fewer people, and our environment is a lot more hostile. That is the perfect place for robotics. As much as we are committed to increasing the size of our military, we’re a small country that does play on the global stage, which means that we will need force multipliers. It’s good to see how robotics has been identified as a sovereign capability. We may not be able to act as quickly as Ukraine did—which basically retooled their entire economy around building drones—but we can use our relationships with Ukraine, we can use our established manufacturing capabilities and our natural resources to modernize very quickly and modernize for the next conflict, as opposed to the past one. I support using robots in the military. Logistics, search and rescue, reconnaissance, or training, all of these areas where robots should probably be used. Even weaponized robots, to some degree, for military purposes, are things that I support. At the same time, it’s very important to have reasonable controls and reasonable certifications around how these systems are used. Ten years ago, there were a lot of conversations where we were saying, “AI is going to make mistakes, and it’s going to be confusing and different, and you’re not going to be able to predict it.” And everyone was like “no, no, that’s not the case.” And now we’re here. Anyone who’s got any sort of media awareness knows that AI makes mistakes, and if your AI is, say, misciting an article, and it’s going to make that mistake, are you sure you want that tool deciding on whether or not to use lethal force? We have a risk problem there. As much as we are committed to increasing the size of our military, we’re a small country that does play on the global stage, which means that we will need force multipliers. There’s also a morality and accountability problem. It’s very important that accountability still lies with a human at some point, and that in the end, you don’t leave people with an out to say, “Oh, it wasn’t me. It was the system that committed that war crime.” The military is the most experienced when it comes to the appropriate and proportional use of force. We really want to make sure that responsibility [and] accountability remains with the military as opposed to allowing people to push that off on some engineer who wrote some code 10 years ago. Over the years, I’ve been part of or peripheral to these discussions. People will use that as a political football. It’s most important to maintain a chain of accountability, certification, understanding, and testing of the technology itself. It’s difficult to understand what has been agreed to and not agreed to because you’ve also got OpenAI adding some noise to the conversation. But you don’t designate a company as a supply chain risk and then also say you’re effectively going to nationalize them. There are political factors at play. RELATED: Rockwell Automation completes acquisition of Clearpath Robotics and its OTTO Motors division On a personal note, I support saying that you should not use the specific kind of technology that Anthropic uses as a key component of autonomous weapons. I would certainly agree that using an LLM for targeting decisions is not the best way forward. I might also suspect that there are things that the Anthropic team knows that we don’t, which cause them to draw this line. I don’t think anyone in their right mind would decide, particularly these days, to pick a fight with the US Department of Defense if they didn’t need to. The thing I’m most excited about is society realizing that robots can help right now. We do not need to wait, and shouldn’t wait until there’s a humanoid knocking on your door to do your laundry. Robots can help, and they can help right now. They can help us be safer, more productive, and more comfortable. The thing that keeps me up is how much opportunity Canada is leaving on the table here. We have an opportunity to build a more secure country, and we’re not moving fast enough. Feature image courtesy Clearpath Robotics. The publication of record for Canadian tech and startup news since 2012. Learn more
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| oToBrite showcases vision AI at embedded world | https://www.automotiveworld.com/news/ot… | 0 | Apr 22, 2026 00:00 | active | |
oToBrite showcases vision AI at embedded worldURL: https://www.automotiveworld.com/news/otobrite-showcases-vision-ai-at-embedded-world/ Description: oToBrite is showcasing automotive-grade vision AI solutions for autonomous robots and unmanned vehicles at embedded world 2026 Content: |
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| Social and emotional learning in artificial agents | Scientific Reports | https://www.nature.com/articles/s41598-… | 1 | Apr 21, 2026 08:00 | active | |
Social and emotional learning in artificial agents | Scientific ReportsDescription: Social and emotional intelligence are fundamental to human cognition, yet current artificial agent frameworks typically treat these capabilities separately, limiting their ability to generate authentic social interactions. We present SELAgents (Social and Emotional Learning Agents), a novel framework that integrates emotional processing, theory of mind, and social learning within a unified reinforcement learning architecture. The framework combines a three-dimensional emotional state space (Pleasure-Arousal-Dominance model), Bayesian belief networks for mental state inference, and game-theoretic social strategy selection. Through systematic experiments with populations of 10 heterogeneous agents over 200 timesteps (30 independent runs), we demonstrate significant improvements over traditional reinforcement learning baselines: emotional intelligence scores increased by 49% (0.73 ± 0.08 vs 0.49 ± 0.11, $$p < 0.001$$), social coherence improved by 66% (0.68 vs 0.41, $$p < 0.001$$), and resource allocation efficiency reached 87% (vs 62% baseline, $$p < 0.001$$). Agents exhibited emergent behaviors including emotional contagion effects (correlation strength $$\gamma = 0.72$$ in dense networks) and stable coalition formation (4.3 ± 1.2 agents per coalition). Ablation studies revealed that theory of mind capabilities contributed most significantly to performance (31.2% degradation when removed), followed by emotional processing (28.7%) and social strategies (22.4%). These results suggest that integrating emotional processing with social learning mechanisms produces more sophisticated agent behaviors that exhibit patterns consistent with human social dynamics. We provide our complete implementation as open-source software to facilitate further research. This study assumes perfect observability of emotional states, representing an upper bound on achievable performance; extending the framework to partial observability settings remains an important direction for future work. Content:
Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Advertisement Scientific Reports , Article number: (2026) Cite this article We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply. Social and emotional intelligence are fundamental to human cognition, yet current artificial agent frameworks typically treat these capabilities separately, limiting their ability to generate authentic social interactions. We present SELAgents (Social and Emotional Learning Agents), a novel framework that integrates emotional processing, theory of mind, and social learning within a unified reinforcement learning architecture. The framework combines a three-dimensional emotional state space (Pleasure-Arousal-Dominance model), Bayesian belief networks for mental state inference, and game-theoretic social strategy selection. Through systematic experiments with populations of 10 heterogeneous agents over 200 timesteps (30 independent runs), we demonstrate significant improvements over traditional reinforcement learning baselines: emotional intelligence scores increased by 49% (0.73 ± 0.08 vs 0.49 ± 0.11, \(p < 0.001\)), social coherence improved by 66% (0.68 vs 0.41, \(p < 0.001\)), and resource allocation efficiency reached 87% (vs 62% baseline, \(p < 0.001\)). Agents exhibited emergent behaviors including emotional contagion effects (correlation strength \(\gamma = 0.72\) in dense networks) and stable coalition formation (4.3 ± 1.2 agents per coalition). Ablation studies revealed that theory of mind capabilities contributed most significantly to performance (31.2% degradation when removed), followed by emotional processing (28.7%) and social strategies (22.4%). These results suggest that integrating emotional processing with social learning mechanisms produces more sophisticated agent behaviors that exhibit patterns consistent with human social dynamics. We provide our complete implementation as open-source software to facilitate further research. This study assumes perfect observability of emotional states, representing an upper bound on achievable performance; extending the framework to partial observability settings remains an important direction for future work. All data and code used in this study are openly available at: https://github.com/nicolastorresr/SELAgents. We have made our implementation openly available via GitHub to facilitate reproducibility and encourage further research in this domain. Picard, R. W. Affective computing: Challenges. Int. J. Hum Comput Stud. 59(1–2), 55–64 (2000). Google Scholar Adolphs, R. The social brain: Neural basis of social knowledge. Annu. Rev. Psychol. 60, 693–716 (2009). Google Scholar Silver, D. et al. Mastering the game of go with deep neural networks and tree search. Nature 529(7587), 484–489 (2016). Google Scholar Brown, T. et al. Language models are few-shot learners. Adv. Neural. Inf. Process. Syst. 33, 1877–1901 (2020). Google Scholar Dautenhahn, K. Socially intelligent robots: Dimensions of human-robot interaction. Philos. Trans. R. Soc. B: Biol. Sci. 362(1480), 679–704 (2007). Google Scholar Damasio, A. R. Descartes’ Error: Emotion, Reason, and the Human Brain (Putnam Publishing, 1994). 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Google Scholar Download references The authors gratefully acknowledge the research support provided by ANID FONDEF IDeA ID25I10018. Department of Electronics, Universidad Técnica Federico Santa María, Av. Vicuña Mackenna 3939, Santiago, RM, 8940897, Chile Nicolás Torres Search author on:PubMed Google Scholar Conceptualization: N.T.; Methodology: N.T.; Formal analysis and investigation: N.T.; Writing—original draft preparation: N.T.; Resources: N.T. Correspondence to Nicolás Torres. The authors declare no competing interests. Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. Reprints and permissions Torres, N. Social and emotional learning in artificial agents. Sci Rep (2026). https://doi.org/10.1038/s41598-026-48309-5 Download citation Received: 14 November 2025 Accepted: 07 April 2026 Published: 19 April 2026 DOI: https://doi.org/10.1038/s41598-026-48309-5 Anyone you share the following link with will be able to read this content: Sorry, a shareable link is not currently available for this article. Provided by the Springer Nature SharedIt content-sharing initiative Advertisement Scientific Reports (Sci Rep) ISSN 2045-2322 (online) © 2026 Springer Nature Limited Sign up for the Nature Briefing: AI and Robotics newsletter — what matters in AI and robotics research, free to your inbox weekly.
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| Seven deadly sins in artificial intelligence for digital medicine | … | https://www.nature.com/articles/s41746-… | 1 | Apr 20, 2026 16:00 | active | |
Seven deadly sins in artificial intelligence for digital medicine | npj Digital MedicineDescription: Artificial intelligence (AI) is increasingly embedded in clinical environments, raising questions of trust, fairness, empathy, and governance. The ethical terrain surrounding AI in medicine remains unstable despite its rapid adoption. We introduce the “Seven Deadly Sins of AI in Medicine”, a conceptual framework of recurring systemic failure modes: (i) Blind Trust, (ii) Overregulation, (iii) Dehumanization, (iv) Misaligned Optimization, (v) Overinforming and False Forecasting, (vi) Misapplied Statistics, and (vii) Self-Referential Evaluation. The framework was developed through systematic synthesis of scientific literature, clinical guidelines, and regulatory frameworks prior to any empirical data collection. To validate this pre-established framework, we conducted a global, cross-professional opinion poll of 914 stakeholders from 143 countries between July 2024 and March 2025. Results confirmed broad agreement with each pre-identified risk, revealing cross-cultural convergence in ethical concern alongside persistent divides in attitudes toward regulation—particularly between technologically advanced nations and emerging economies. We further propose an inversion of the framework into seven cardinal virtues for AI in medicine, offering actionable principles to guide responsible development and governance. The goal is to move beyond scattered ethical guidelines toward a unified diagnostic tool for trustworthy, human-centered medical AI. Content:
Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Advertisement npj Digital Medicine , Article number: (2026) Cite this article 2090 Accesses 9 Altmetric Metrics details We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply. Artificial intelligence (AI) is increasingly embedded in clinical environments, raising questions of trust, fairness, empathy, and governance. The ethical terrain surrounding AI in medicine remains unstable despite its rapid adoption. We introduce the “Seven Deadly Sins of AI in Medicine”, a conceptual framework of recurring systemic failure modes: (i) Blind Trust, (ii) Overregulation, (iii) Dehumanization, (iv) Misaligned Optimization, (v) Overinforming and False Forecasting, (vi) Misapplied Statistics, and (vii) Self-Referential Evaluation. The framework was developed through systematic synthesis of scientific literature, clinical guidelines, and regulatory frameworks prior to any empirical data collection. To validate this pre-established framework, we conducted a global, cross-professional opinion poll of 914 stakeholders from 143 countries between July 2024 and March 2025. Results confirmed broad agreement with each pre-identified risk, revealing cross-cultural convergence in ethical concern alongside persistent divides in attitudes toward regulation—particularly between technologically advanced nations and emerging economies. We further propose an inversion of the framework into seven cardinal virtues for AI in medicine, offering actionable principles to guide responsible development and governance. The goal is to move beyond scattered ethical guidelines toward a unified diagnostic tool for trustworthy, human-centered medical AI. All anonymized data, all figures, and analysis scripts are openly available at (https:/github.com/human-centered-ai-lab/7-sins-of-medical-ai). Code for data visualisation and statistical analysis is available in the same repository under an open-source licence. Rajpurkar, P., Chen, E., Banerjee, O. & Topol, E. J. AI in health and medicine. Nat. Med. 28, 31–38 (2022). Google Scholar Rajkomar, A. et al. Scalable and accurate deep learning with electronic health records. npj Digital Med. 1, 18 (2018). Google Scholar Shick, A. A. et al. Transparency of artificial intelligence/machine learning-enabled medical devices. npj Digital Med. 7, 21 (2024). Google Scholar Paulus, J. 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Multimodal generative AI for medical image interpretation. Nature 639, 888–896 (2025). Google Scholar Download references This work was supported by the Austrian Science Fund (FWF) under grant 10.55776/P-32554 “Explainable Artificial Intelligence”. Machine Learning and Information Science Group, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria Heimo Müller & Andreas Holzinger Human Machine Mind Corporation, Graz, Austria Heimo Müller The New York Academy of Medicine, New York, NY, USA Vimla L. Patel Department of Biomedical Informatics, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA Vimla L. Patel & Edward H. Shortliffe Schroeder Arthritis Institute and Krembil Research Institute, University Health Network; Departments of Medical Biophysics and Computer Science, and Faculty of Dentistry, University of Toronto; Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovakia; School of Digital Public Health, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE, Toronto, ON, Canada Igor Jurisica Human-Centered AI Lab, FTEC, Department for Ecosystem Management, Climate and Biodiversity, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria Andreas Holzinger Search author on:PubMed Google Scholar Search author on:PubMed Google Scholar Search author on:PubMed Google Scholar Search author on:PubMed Google Scholar Search author on:PubMed Google Scholar A.H. and H.M. designed the survey poll. H.M. performed data analysis and prepared figures. A.H. and H.M. wrote the first draft. V.L.P., E.H.S., and I.J. contributed to conceptual framing and manuscript revision. All authors reviewed and approved the final version. Correspondence to Andreas Holzinger. The authors declare no competing interests. Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. Reprints and permissions Müller, H., Patel, V.L., Shortliffe, E.H. et al. Seven deadly sins in artificial intelligence for digital medicine. npj Digit. Med. (2026). https://doi.org/10.1038/s41746-026-02607-4 Download citation Received: 08 November 2025 Accepted: 26 March 2026 Published: 15 April 2026 DOI: https://doi.org/10.1038/s41746-026-02607-4 Anyone you share the following link with will be able to read this content: Sorry, a shareable link is not currently available for this article. Provided by the Springer Nature SharedIt content-sharing initiative Advertisement npj Digital Medicine (npj Digit. Med.) 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| The Cadence-Nvidia robotics deal | https://thenextweb.com/news/cadence-nvi… | 1 | Apr 20, 2026 08:00 | active | |
The Cadence-Nvidia robotics dealURL: https://thenextweb.com/news/cadence-nvidia-robotics-physics-simulation-ai Description: Cadence and Nvidia expand their AI partnership to close the sim-to-real gap in robotics, fusing physics engines with Nvidia’s Isaac and Cosmos models. Content:
The two companies announced an expanded partnership at a Cadence conference in Santa Clara on Wednesday. The goal: make robot training data more accurate so physical AI systems reach real-world deployment faster. Cadence Design Systems and Nvidia have announced an expanded partnership aimed at closing one of robotics’ most persistent problems: the gap between how robots learn inside computer simulations and how they actually perform in the physical world. The collaboration, unveiled by the CEOs of both companies at a Cadence conference in Santa Clara, California, integrates Cadence’s high-fidelity physics simulation engines with Nvidia’s AI training platforms, including its Isaac open-source simulation libraries and Cosmos open-world models. Cadence is best known as one of the dominant suppliers of software used to design advanced computing chips. But the company also makes physics engines that model how real-world materials interact, how metals deform, how fluids flow, how surfaces make contact. These simulations are used in aerospace, automotive, and semiconductor design, but are now being applied to a new problem: generating the training data that robot AI systems need to learn how to handle objects and navigate physical environments. Training robots in simulation is faster and cheaper than doing so in the real world, but the training data is only as useful as the physics engine is accurate. “The more accurate the generated training data is, the better the model will be,” Cadence CEO Anirudh Devgan said at the Santa Clara conference. Nvidia CEO Jensen Huang described the scope of the collaboration directly: “We’re working with you across the board on robotic systems.” The combined stack will link Cadence’s multiphysics simulation with Nvidia’s model training pipelines and deploy the results on Nvidia’s Jetson robotics and edge AI hardware. The output is a workflow that runs from world-model training through physics simulation to real-world deployment feedback, coordinated by AI agents throughout the lifecycle. The announcement is part of a broader pattern of Nvidia building deep simulation partnerships across industrial engineering. The company has separately announced partnerships with Siemens and Dassault Systèmes to build industrial AI platforms and virtual twins. For Cadence, the robotics application represents a significant expansion of its simulation software into the AI infrastructure layer at a moment when demand for accurate robot training data is growing rapidly. I am the Editor in Chief for TNW, covering technology not as a parade of launches and valuations, but as a system of influence, persuasion, (show all) I am the Editor in Chief for TNW, covering technology not as a parade of launches and valuations, but as a system of influence, persuasion, and change. I write about startups, venture capital, digital policy, and Europe ecosystem, with an eye on the larger story beneath them: who gets to build the future, who profits from it, and how Europe is learning to speak in a louder voice of its own. Before moving into senior editorial leadership, I've built my career for over +10 years across journalism, storytelling, content strategy, SEO, and digital publishing, with experience in SaaS, hospitality, art, and culture. Get the most important tech news in your inbox each week. The heart of tech A Tekpon Company Copyright © 2006—2026, Cogneve, INC. Made with <3 in Amsterdam.
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| Figure AI's Figure 02 Robot Excels in Hour-Long Warehouse Sorting … | https://www.webpronews.com/figure-ais-f… | 0 | Apr 18, 2026 08:00 | active | |
Figure AI's Figure 02 Robot Excels in Hour-Long Warehouse Sorting DemoURL: https://www.webpronews.com/figure-ais-figure-02-robot-excels-in-hour-long-warehouse-sorting-demo/ Description: Keywords Content: |
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| Figure AI dévoile Helix 02, une IA qui rapproche le … | https://kulturegeek.fr/news-346271/figu… | 1 | Apr 18, 2026 08:00 | active | |
Figure AI dévoile Helix 02, une IA qui rapproche le robot humanoïde de l’autonomie totale - KultureGeekDescription: La startup américaine Figure AI vient de franchir une étape majeure dans l’histoire de la robotique humanoïde. Avec son nouveau modèle d’intelligence Content:
La startup américaine Figure AI vient de franchir une étape majeure dans l’histoire de la robotique humanoïde. Avec son nouveau modèle d’intelligence artificielle Helix 02, l’entreprise parvient à unifier locomotion, manipulation et équilibre au sein d’un même système neuronal, ouvrant ainsi la voie à des robots capables d’évoluer naturellement dans des environnements complexes et changeants. Jusqu’ici, les robots devaient souvent alterner entre déplacement et manipulation, au prix de mouvements saccadés et peu naturels. Helix 02 rompt avec cette approche fragmentée grâce à une architecture de type Vision-Language-Action pilotée par un réseau unique. Tous les capteurs — vision, toucher, perception du mouvement — sont ainsi connectés directement aux actionneurs, permettant au robot d’agir de manière fluide et sans interruption entre chaque action. Le système repose sur trois niveaux complémentaires. Le niveau supérieur gère la compréhension du langage et des objectifs, tandis qu’un second niveau traduit la perception en gestes coordonnés. La grande nouveauté réside dans un troisième niveau fonctionnant à très haute fréquence, chargé de l’équilibre et de la stabilité, entraîné à partir de milliers d’heures de données sur le mouvement humain. Résultat : une motricité plus naturelle et une adaptation en temps réel aux contraintes physiques. Pour illustrer ses avancées, Figure AI a montré son robot effectuer seul une tâche domestique complexe : vider et remplir un lave-vaisselle dans une cuisine. Pendant plusieurs minutes, la machine a enchaîné des dizaines d’actions sans interruption, manipulant des objets fragiles, se déplaçant avec précision et coordonnant ses deux bras dans un espace contraint. Une performance rarement atteinte jusqu’ici par un robot humanoïde autonome. Helix 02 ouvre également la porte à des manipulations fines, comme dévisser un bouchon, extraire un comprimé ou trier de petits composants métalliques. En combinant vision rapprochée, capteurs tactiles et contrôle corporel global, Figure AI pose les bases d’une autonomie polyvalente, capable de s’adapter aux situations imprévues du monde réel. Si cette technologie reste pour l’instant cantonnée au laboratoire, elle marque aussi un tournant décisif dans la quête du robot humanoïde utile au quotidien. Helix 02 esquisse ainsi un futur où assistance domestique, logistique et industrie pourraient s’appuyer sur des machines réellement capables d’interagir avec leur environnement de manière fluide et intelligente. SOURCEGeneration-nt Signaler une erreur dans le texte Merci de nous avoir signalé l'erreur, nous allons corriger cela rapidement. Δ Nous nous réservons le droit de supprimer les commentaires qui ne respectent pas ces règles OpenAI voit partir deux dirigeants de plus au moment où l’entreprise démonte déjà une partie de son organisation... Chaque jour nous dénichons pour vous des promos sur les produits High-Tech pour vous faire économiser le plus d’argent possible. Voici... Anthropic a discrètement ajouté une page dédiée à la vérification d’identité pour son intelligence... YouTube modifie sa gestion des publicités pour les vidéos en direct (live) afin d’éviter de casser les séquences... Amazon ne se contente plus de tester Vega OS sur quelques produits : le groupe prépare désormais la transition de toute la gamme des Fire TV... Jeux Economie et entreprise Utilitaires Divertissement Economie et entreprise Météo Utilitaires Musique Jeux Jeux Drame Drame Action et aventure Drame Comédie Enfants / famille Enfants / famille Enfants / famille 18 Apr. 2026 • 8:00 18 Apr. 2026 • 7:00 17 Apr. 2026 • 22:40 17 Apr. 2026 • 19:44 Actualité High-Tech, Culture Geek et comparateur de prix Recherchez le meilleur prix des produits Hi-tech Recherchez des articles sur le site
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| Robot Figure tira e põe louça na máquina | https://www.pelaestradafora.com/2026/02… | 1 | Apr 18, 2026 08:00 | active | |
Robot Figure tira e põe louça na máquinaURL: https://www.pelaestradafora.com/2026/02/robot-figure-tira-e-poe-louca-na-maquina/ Description: A Figure mostrou mais uma impressionante demonstração do seu robot humanóide, a fazer tarefas domésticas. A Figure tem estado a trabalhar num sistema AI que permita aos robots humanóides fazer as tarefas que, para os humanos são "simples" mas para os robots são incrivelmente complexas. Agora, podem Content:
A Figure mostrou mais uma impressionante demonstração do seu robot humanóide, a fazer tarefas domésticas. A Figure tem estado a trabalhar num sistema AI que permita aos robots humanóides fazer as tarefas que, para os humanos são “simples” mas para os robots são incrivelmente complexas. Agora, podemos ver o resultado desse trabalho com o modelo Helix 02 a permitir que um robot possa, de forma totalmente autónoma, tirar a loiça da máquina e arrumá-la nos sítios correctos, abrindo e fechando portas e gavetas, e também a colocar a loiça suja na máquina. Embora com ainda alguma lentidão face aos humanos, o robot demonstra movimentos surpreendentemente graciosos e fluidos, e sem as demoras de sistemas demonstrados no passado. Conta até com alguns pontos de destaque, como aos 2:50, quando após ter aberto uma gaveta, o robot faz um “toque de anca” para a fechar sem usar as mãos, ou aos 3:20, quando para fechar a porta da máquina de lavar começa por levantá-la com o pé – tal como a maioria dos humanos fará. Long‑Horizon Loco-Manipulation Helix 02 performs continuous, multi‑minute tasks that demand the full integration of locomotion, dexterity, and sensing pic.twitter.com/tweFSUMj5a — Figure (@Figure_robot) January 27, 2026 Como é habitual, não demoraram a surgir acusações de que esta demonstração terá sido feita com um humano a controlar remotamente o robot, mas o fundador da Figure, Brett Adcock (o mesmo que não acredita que as empresas chinesas estejam a produzir e vender centenas/milhares de robots humanóides) assegura que tudo foi deito de forma realmente autónoma graças ao modelo Helix 02. Tal como se previa, o ano de 2026 vai ser extremamente interessante a nível da evolução dos robots humanóides. O seu endereço de email não será publicado. Campos obrigatórios marcados com * Comentário * Nome * Email * Site Δ
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| Tesla stellt humanoiden Roboter Optimus Gen 2 vor - IT-Times | https://www.it-times.de/news/tesla-stel… | 1 | Apr 18, 2026 00:00 | active | |
Tesla stellt humanoiden Roboter Optimus Gen 2 vor - IT-TimesURL: https://www.it-times.de/news/tesla-stellt-humanoiden-roboter-optimus-gen-2-vor-157260/ Description: AUSTIN, Texas (IT-Times) - Es wird nicht langweilig um den US-amerikanischen Elektrofahrzeug- und Batterieproduzenten Tesla. In Zukunft soll auch ein humanoider Roboter eine größere Rolle spielen. Es gibt mit Optimus Gen 2 eine neue Version. Content:
AUSTIN, Texas (IT-Times) - Es wird nicht langweilig um den US-amerikanischen Elektrofahrzeug- und Batterieproduzenten Tesla. In Zukunft soll auch ein humanoider Roboter eine größere Rolle spielen. Es gibt mit Optimus Gen 2 eine neue Version. Tesla Inc. (Nasdaq: TSLA) präsentierte am 12. Dezember 2023 per Video den Optimus Gen 2 Roboter, auch als Tesla Bot bekannt, mit verbesserten Händen und schlankerer Silouette. Das Video zeigt Verbesserungen an seinem humanoiden Roboter-Prototyp. Zwei der Maschinen tanzen unter blinkenden Lichtern zu elektronischer Musik. Die neue Version des Roboters kann in die Hocke gehen, ohne umzufallen. Die als Optimus-Bot bezeichnete Maschine, die den Menschen nachahmt, ist Teil von Teslas Unterfangen zur Entwicklung künstlicher Intelligenz (KI) und nutzt ein trainiertes neuronales Netzwerk, um grundlegende Aufgaben auszuführen. Bild: Tesla - Optimus Gen 2 Das Unternehmen gab an, dass der Roboter im Vergleich zu seinem Vorgängermodell 30 Prozent schneller laufen könne, 10 kg leichter sei und über ein verbessertes Gleichgewicht und bessere Handbewegungen verfüge. Der Clip zeigt, wie der Roboter seine Finger beugt und ein Ei kocht, um Fortschritte bei der „empfindlichen Objektmanipulation“ zu demonstrieren. Meldung gespeichert unter: Elektroauto, Roboter (Robotik), Elektromobilität, Elon Musk, Automobile, Tesla, Hardware, Software © IT-Times 2026. Alle Rechte vorbehalten. Erhalten Sie einen Wissensvorsprung! Abonnieren Sie unseren 2x wöchentlich erscheinenden Newsletter mit den relevantesten Business-Nachrichten der Woche. Weitere Möglichkeiten, um auf dem Laufenden zu bleiben, haben wir in einer Übersicht für Sie zusammen gestellt. Sie haben die Möglichkeit, mit unserem Webmaster-Nachrichten-Tool die Nachrichten von IT-Times.de kostenlos auf Ihrer Internetseite einzubauen. Zugeschnitten auf Ihre Branche bzw. Ihr Interesse. Weitere Möglichkeiten, um auf dem Laufenden zu bleiben, haben wir in einer Übersicht für Sie zusammen gestellt. Erhalten Sie einen Wissensvorsprung! Abonnieren Sie unseren 2x wöchentlich erscheinenden Newsletter mit den relevantesten Business-Nachrichten der Woche. Sie haben die Möglichkeit, mit unserem Webmaster-Nachrichten-Tool die Nachrichten von IT-Times.de kostenlos auf Ihrer Internetseite einzubauen. Zugeschnitten auf Ihre Branche bzw. Ihr Interesse.
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| Voici comment Tesla Optimus se recharge à sa borne | https://www.tesla-mag.com/voici-comment… | 1 | Apr 18, 2026 00:00 | active | |
Voici comment Tesla Optimus se recharge à sa borneURL: https://www.tesla-mag.com/voici-comment-tesla-optimus-se-recharge-a-sa-borne/ Description: Sommaire Optimisation de la recharge pour un avenir durable Intégration technologique et gestion efficace Impact sur l’infrastructure actuelle Répercussions sur le marché européen Conclusion : Vers un futur électrisant Tesla, la marque qui a redéfini le marché des véhicules électriques, continue d’innover avec sa dernière création : la station de recharge Tesla Optimus. Ce développement suscite beaucoup d’enthousiasme à... Content:
Tesla, la marque qui a redéfini le marché des véhicules électriques, continue d’innover avec sa dernière création : la station de recharge Tesla Optimus. Ce développement suscite beaucoup d’enthousiasme à travers le monde automobile, alors que la demande en infrastructures de recharge s’intensifie. Le concept derrière la station de recharge Tesla Optimus s’aligne avec la vision de durabilité et d’efficacité énergétique de l’entreprise. Avec une capacité de chargement rapide inédite, elle est conçue pour répondre aux besoins croissants des utilisateurs de véhicules électriques (VE). Les stations Optimus visent à réduire le temps de recharge tout en augmentant la capacité de service simultané pour plusieurs véhicules. Tesla Optimus Charging Station pic.twitter.com/9SH5eqAfs5 Un des points forts des stations Tesla Optimus est sans aucun doute l’intégration de technologies de pointe. Chaque station comprend un système de gestion intelligent permettant d’optimiser le flux énergétique selon l’état de la demande, garantissant ainsi une expérience utilisateur fluide. De plus, grâce à l’application Tesla, les utilisateurs peuvent suivre en temps réel le statut de leur recharge et planifier leurs trajets en conséquence. Alors que les voitures électriques gagnent du terrain en tant que choix principal pour de nombreux consommateurs, l’infrastructure de recharge est plus que jamais sous pression. L’introduction des stations Optimus contribue non seulement à soulager cette pression, mais aussi à renforcer le réseau électrique global. En travaillant en partenariat avec des fournisseurs d’énergie renouvelable, Tesla assure que ses stations sont alimentées de manière durable. L’arrivée de ces stations innovantes est particulièrement favorable pour le marché européen, où la transition vers des solutions plus écologiques est prioritaire. L’expansion des stations Tesla pourrait accélérer l’adoption des VE en Europe, offrant aux utilisateurs des solutions pratiques et écologiques. Avec la station de recharge Tesla Optimus, Tesla continue de mener la révolution électrique mondiale. Ces infrastructures de recharge avancées sont plus qu’un simple ajout à l’écosystème de Tesla ; elles sont le reflet d’une stratégie audacieuse qui vise à rendre le transport électrique accessible, fiable et durable. Alors que le monde avance vers un avenir plus propre, Tesla semble bien positionnée pour être à l’avant-garde de ce mouvement transformateur. Fondateur de Tesla Mag | Analyste Stratégique Mobilité & IA Observateur privilégié de l'écosystème Tesla depuis 2013, il décrypte les ruptures technologiques d'Elon Musk avec une rigueur d'expert. Spécialiste des infrastructures IRVE et des marchés Tesla Energy (100 GW), il analyse l'impact de l'IA sur la conduite autonome (FSD) et l'industrie automobile mondiale. Votre adresse e-mail ne sera pas publiée. Les champs obligatoires sont indiqués avec * Commentaire * Nom * E-mail * Enregistrer mon nom, mon e-mail et mon site dans le navigateur pour mon prochain commentaire. Leave this field empty Leave this field empty Δ Tesla Mag est un média dédié aux véhicules électriques Premium. Nous publions des actualités, guides d'achat et Bons plans pour vous permettre de découvrir l'univers VE. © 2026 Tesla Mag - Tous droits réservés. La reproduction intégrale ou partielle des contenus, articles, et images sans autorisation explicite est interdite.
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| У робота Optimus проблемы с руками — Tesla остановила производство … | https://devby.io/news/u-robota-optimus-… | 1 | Apr 18, 2026 00:00 | active | |
У робота Optimus проблемы с руками — Tesla остановила производство | dev.byURL: https://devby.io/news/u-robota-optimus-problemy-s-rukami-tesla-ostanovila-proizvodstvo Description: Компания временно приостановила производство гуманоидных роботов Optimus из-за проблем с конструкцией рук и предплечий. Content:
Релоцировались? Теперь вы можете комментировать без верификации аккаунта. Компания временно приостановила производство гуманоидных роботов Optimus из-за проблем с конструкцией рук и предплечий. Компания временно приостановила производство гуманоидных роботов Optimus из-за проблем с конструкцией рук и предплечий. Компания временно приостановила производство гуманоидных роботов Optimus из-за проблем с конструкцией рук и предплечий. По данным The Information, инженеры компании не смогли добиться необходимой ловкости движений, близкой к человеческой. Именно эта часть конструкции оказалась наиболее сложной для реализации. По данным источников, на предприятиях Tesla уже накопились десятки корпусов роботов без рук и предплечий, а сроки завершения их сборки остаются неопределенными. Первоначально Илон Маск планировал выпустить 5000 единиц Optimus до конца 2025 года. Однако из-за выявленных проблем компания пересмотрела цели: теперь речь идет максимум о 2000 роботах, и даже этот показатель может быть отложен. Маск признал наличие трудностей, отметив, что создание рук с человеческой степенью ловкости стало самым сложным этапом проекта. Сроки возобновления производства он не назвал, но подчеркнул, что проект будет продолжен. Несмотря на задержки, Tesla продолжает показывать развитие технологии. Недавно Маск опубликовал видео, на котором робот Optimus выполняет приемы кунг-фу, а также ролик, где он повторяет движения актера Джареда Лето на премьере фильма Tron: Ares. Tried to start a fight at the Tron: Ares premiere pic.twitter.com/TvWCOaXIlN Робот Optimus был впервые представлен в 2021 году как универсальный гуманоид, способный выполнять рутинные и опасные для человека задачи. Маск заявлял, что в будущем производство таких машин может стать для Tesla даже более прибыльным направлением, чем электромобили. Как помочь, если вы в Польше Хотите сообщить важную новость? Пишите в Telegram-бот Главные события и полезные ссылки в нашем Telegram-канале Релоцировались? Теперь вы можете комментировать без верификации аккаунта. (руки) растут из одного места??? Пользователь отредактировал комментарий 14 октября 2025, 15:45
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| Tesla показана видео, как гуманоидный робот Optimus научился складывать одежду | https://techno.nv.ua/innovations/optimu… | 0 | Apr 18, 2026 00:00 | active | |
Tesla показана видео, как гуманоидный робот Optimus научился складывать одеждуURL: https://techno.nv.ua/innovations/optimus-tesla-50384495.html Description: Гуманоидный робот Optimus от Tesla научился аккуратно складывать одежду. Пока он не способе... Content: |
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| Ким Кардашьян протестировала Tesla Optimus и Cybercab | https://tech.onliner.by/2024/11/20/test… | 1 | Apr 18, 2026 00:00 | active | |
Ким Кардашьян протестировала Tesla Optimus и CybercabDescription: Напомним, что гуманоидного робота Optimus представили в октябре этого года на презентации We, Robot. В перспективе цена одного такого робота составляет 20—30 тысяч долларов. Также в октябре был представлен Cybercab — беспилотное такси, в котором нет ни руля, ни педалей. Сейчас новинки Tesl Content:
Напомним, что гуманоидного робота Optimus представили в октябре этого года на презентации We, Robot. В перспективе цена одного такого робота составляет 20—30 тысяч долларов. Также в октябре был представлен Cybercab — беспилотное такси, в котором нет ни руля, ни педалей. Сейчас новинки Tesla смогла протестировать Ким Кардашьян, одна из самых популярных инфлюенсеров в мире. Ким удалось провести время и с классической, и с позолоченной версией Optimus (последняя была выпущена в единственном экземпляре). В видеороликах блогер сыграла с роботом в «камень-ножницы-бумагу», попросила Optimus показать «сердечко» и прокомментировала его танец. meet my new friend @Teslapic.twitter.com/C34OvPA2dY — Kim Kardashian (@KimKardashian) November 18, 2024 Позолоченный Optimus находился в салоне Cybercab. Ким назвала беспилотный автомобиль Tesla, производство которого должно начаться в 2027 году, «невероятным» и «безумным». Отметим, что эти видео не являются спонсорскими, но один из постов Ким ретвитнул Илон Маск. Optimus is here to take mw for a ride in the Cybercab pic.twitter.com/gxOSbsY3vv — Kim Kardashian (@KimKardashian) November 19, 2024 Есть о чем рассказать? Пишите в наш телеграм-бот. Это анонимно и быстро
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| Tesla Optimus : Une nouvelle usine déjà en construction ? | https://www.tesla-mag.com/tesla-optimus… | 1 | Apr 18, 2026 00:00 | active | |
Tesla Optimus : Une nouvelle usine déjà en construction ?URL: https://www.tesla-mag.com/tesla-optimus-une-nouvelle-usine-deja-en-construction/ Description: Sommaire Un Plan de Production Révolutionnaire Giga Texas : Au Cœur de l’Expansion Le Potentiel de Tesla Optimus Répercussions Économiques et Environnementales Un Engagement Vers l’Innovation Continue Tesla, la société pionnière dans le domaine des véhicules électriques, continue de faire grand bruit avec ses projets d’expansion ambitieux. Dernièrement, l’attention s’est portée sur l’annonce faite lors de la réunion annuelle... Content:
Tesla, la société pionnière dans le domaine des véhicules électriques, continue de faire grand bruit avec ses projets d’expansion ambitieux. Dernièrement, l’attention s’est portée sur l’annonce faite lors de la réunion annuelle des actionnaires, selon laquelle la construction d’une usine de production massive à Giga Texas est en cours. Tesla a dévoilé son intention de créer une installation capable de produire 10 millions d’unités par an. Ce projet titanesque non seulement solidifie la position de Tesla en tant que leader mondial dans le domaine des technologies électriques, mais promet également de transformer le paysage industriel. Initialement célèbre pour sa capacité à produire des véhicules électriques de pointe, Giga Texas est appelé à durer sous cette nouvelle expansion. Cet emplacement stratégique non seulement élargit le champ d’action de Tesla, mais vise également à stimuler l’économie locale en créant de nombreux emplois. La mise en place de l’usine Optimus intègre également des innovations technologiques avancées. Cette nouvelle unité de production promet de réduire considérablement les délais tout en maintenant une qualité de produit exceptionnelle. Grâce à son processus de fabrication de pointe, Tesla Optimus pourrait redéfinir la façon dont les véhicules électriques sont produits dans un avenir proche. Alors que l’industrie automobile continue de se diriger vers des pratiques plus durables, l’usine Optimus devrait jouer un rôle clé dans la réduction de l’empreinte carbone mondiale. Les efforts de Tesla alignent la production de masse avec ses engagements en faveur de la durabilité. En outre, cette expansion devrait avoir un impact économique positif, facilitant la croissance des opportunités d’emploi et stimulant le développement économique régional. Avec cette initiative révolutionnaire, Tesla démontre son engagement à rester à la pointe de l’innovation technologique. La réalisation du projet Optimus à Giga Texas pourrait bien annoncer une nouvelle ère dans le secteur des véhicules électriques, influençant la direction future du transport durable à l’échelle mondiale. En conclusion, le projet d’usine Optimus de Tesla à Giga Texas représente bien plus qu’une simple expansion industrielle. Il s’agit d’une étape significative vers l’avenir des véhicules électriques et de notre planète. L’engagement de Tesla pour le progrès technologique et la durabilité est plus fort que jamais, et les yeux du monde entier sont tournés vers le Texas pour voir comment cette histoire pionnière se déroulera. Fondateur de Tesla Mag | Analyste Stratégique Mobilité & IA Observateur privilégié de l'écosystème Tesla depuis 2013, il décrypte les ruptures technologiques d'Elon Musk avec une rigueur d'expert. Spécialiste des infrastructures IRVE et des marchés Tesla Energy (100 GW), il analyse l'impact de l'IA sur la conduite autonome (FSD) et l'industrie automobile mondiale. Votre adresse e-mail ne sera pas publiée. Les champs obligatoires sont indiqués avec * Commentaire * Nom * E-mail * Enregistrer mon nom, mon e-mail et mon site dans le navigateur pour mon prochain commentaire. Leave this field empty Leave this field empty Δ Tesla Mag est un média dédié aux véhicules électriques Premium. Nous publions des actualités, guides d'achat et Bons plans pour vous permettre de découvrir l'univers VE. © 2026 Tesla Mag - Tous droits réservés. La reproduction intégrale ou partielle des contenus, articles, et images sans autorisation explicite est interdite.
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| Совершенно новый Tesla Optimus третьего поколения приступает к работе - … | https://pcnews.ru/news/soversenno_novyj… | 1 | Apr 18, 2026 00:00 | active | |
Совершенно новый Tesla Optimus третьего поколения приступает к работе - PCNEWS.RUDescription: Все компьютерные новости на PCNews.ru. Вся новая информация, о компьютерах и информационных технологиях. Синдикация новостей, статей, пресс-релизов со всех сайтов компьютерной (ИТ или IT) тематики. Content:
Робот Tesla Optimus третьего поколения приступает к работе, о чем говорится на официальной страничке разработчиков. Заведение на бульваре Санта-Моника открылось летом 2025 года и быстро привлекло внимание благодаря необычному формату: ретро-футуристическое автокафе с зарядной станцией и гуманоидным роботом, раздающим попкорн. Версия второго поколения, получившая неофициальное прозвище Poptimus, стала одной из главных «фишек» площадки. Однако к декабрю 2025 года робот исчез — это было частью подготовки к более серьёзному обновлению. Ранее Илон Маск подтвердил, что в 2026 году Optimus вернётся уже в новом качестве. Вместо демонстрационных функций он сможет выполнять роль курьера, доставляя заказы прямо к автомобилям на станциях Supercharger. Ключевым обновлением стал переход к третьему поколению. Новый Optimus получил значительно улучшенную механику рук — около 50 приводов и 22 степени свободы на каждую, а также мощную вычислительную платформу с чипом Tesla AI5 и голосовым управлением на базе Grok. Маск уже назвал его самым продвинутым роботом в мире. Параллельно компания перестраивает производство: линии во Фримонте планируют переоборудовать под выпуск Optimus, что подчёркивает смену приоритетов Tesla в сторону робототехники. © iXBT
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| Tesla Optimus Talk | NextBigFuture.com | https://www.nextbigfuture.com/2026/04/t… | 1 | Apr 18, 2026 00:00 | active | |
Tesla Optimus Talk | NextBigFuture.comURL: https://www.nextbigfuture.com/2026/04/tesla-optimus-talk.html Description: Konstantinos Laskaris, Tesla Lead Director of Optimus, at the ETH Robotics Club INSPIRE Talk in Switzerland. Konstantinos presented Optimus 2.5 and the work Content:
Home » Artificial intelligence » Tesla Optimus Talk Konstantinos Laskaris, Tesla Lead Director of Optimus, at the ETH Robotics Club INSPIRE Talk in Switzerland. Konstantinos presented Optimus 2.5 and the work behind it and its predecessors. Here are some highlights from the talk. The sim-to-real gap is propaganda. “It’s not a gap if you haven’t tried to model your robot properly.” Hardware matters more than most people think. If you can’t replicate human motion on hardware, no amount of real-world data will save you. Tendon-driven hands are the way. Anything with motors physically cannot reproduce human muscle force density. Not a preference: a physics constraint. On physics engines: don’t constrain yourself to what exists. His challenge to the community: do you even understand how physics works? Go build your own simulation. Reproduce the fidelity YOU need. Optimus V3 is coming soon. It won’t be sold to the public. It won’t go to factories. First customer? Tesla itself. They’re building a Bot Academy. A secure environment where robots learn tasks from scratch. Example: hold and operate a drill. Optimus V3 is coming soon. It won’t be sold to the public. It won’t go to factories. First customer? Tesla itself. They’re building a “Bot Academy”: a secure environment where robots learn tasks from scratch. Example: hold and operate a drill. — odesha (@oskrt_dvs) April 3, 2026 Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology. Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels. A frequent speaker at corporations, he has been a TEDx speaker, a Singularity University speaker and guest at numerous interviews for radio and podcasts. He is open to public speaking and advising engagements. “It won’t be sold to the public. It won’t go to factories.” The first part seems obvious and what they’ve said for a long time. The second is just confusing. What’s the point in mass producing them if they don’t use them throughout the Musk enterprises and with suppliers? They don’t need tens of thousands of them for a bot academy. Maybe this part is just about the first few months of slow production. By “factories” he was talking about selling them commercially, not themselves. Musk will using them in his factories, doing real work, replacing real people, this year. I didn’t know they wont even sell V3. I knew the 1st year or so would go to Tesla themselves, and perhaps some to other Musk ventures. But I thought at some point next year, anyone could buy one. I guess customers will have to wait for V4, which will have a AI5 chip, and I’d bet begin to be built late next year. Certainly feels like they continue to fall behind, But I think that’s because Elon revealed WAY too much during his retarded AI day, and everyone from China was drooling with pen & paper in hand. So now he keeps it closer to the chest. But he just needs to show things off better, focus on capabilities, not hardware or software. “Tendon-driven hands are the way. Anything with motors physically cannot reproduce human muscle force density. Not a preference: a physics constraint.” Yes, some sort of variable torsion device that will allow the delicate grasping of a raw egg without breakage and yet also will allow heavy work such as tightening up bolts while holding heavy axle hubs, etc….. it gets around the difficulty of trying to match the dexterity of 6 million years of hominin/hominid evolution by using a different approach. https://www.nature.com/scitable/knowledge/library/overview-of-hominin-evolution-89010983 AI Robotics will advance as more practical tests are performed in “real world” situations. I can see this technology making great strides into automobile and “white goods” manufacturing, possibly into ship welding/construction as well. Comments are closed.
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| Generations in Dialogue: Human-robot interactions and social robotics with Professor … | https://robohub.org/generations-in-dial… | 1 | Apr 17, 2026 16:00 | active | |
Generations in Dialogue: Human-robot interactions and social robotics with Professor Marynel Vasquez - RobohubContent:
Generations in Dialogue: Bridging Perspectives in AI is a podcast from AAAI featuring thought-provoking discussions between AI experts, practitioners, and enthusiasts from different age groups and backgrounds. Each episode delves into how generational experiences shape views on AI, exploring the challenges, opportunities, and ethical considerations that come with the advancement of this transformative technology. In the fourth episode of this new series from AAAI, host Ella Lan chats to Professor Marynel Vázquez about what inspired her research direction, how her perspective on human-robot interactions has changed over time, robots navigating the social world, potential for using robots in education, modeling interactions as graphs, addressing misunderstandings with regards to robots in society, getting input from target users, the challenge of recognising when errors happen, making robots that adapt, and more. Marynel Vázquez is a computer scientist and roboticist whose research focuses on Human-Robot Interaction (HRI), particularly in multi-party settings. She studies social group dynamics—such as spatial behavior and social influence—in HRI, and develops perception and decision-making algorithms that enable autonomous, socially aware robot behavior. A central theme in her work is modeling interactions as graphs, allowing robots to reason about individuals, relationships, and groups simultaneously. Her interdisciplinary approach combines computer science, behavioral science, and design, and she enjoys building new robotic systems and research infrastructure to bring theoretical ideas into real-world practice. Ella Lan, a member of the AAAI Student Committee, is the host of “Generations in Dialogue: Bridging Perspectives in AI.” She is passionate about bringing together voices across career stages to explore the evolving landscape of artificial intelligence. Ella is a student at Stanford University tentatively studying Computer Science and Psychology, and she enjoys creating spaces where technical innovation intersects with ethical reflection, human values, and societal impact. Her interests span education, healthcare, and AI ethics, with a focus on building inclusive, interdisciplinary conversations that shape the future of responsible AI.
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| ELROB 2026: Military robotics put to the test | https://idw-online.de/de/news869152 | 1 | Apr 17, 2026 00:00 | active | |
ELROB 2026: Military robotics put to the testURL: https://idw-online.de/de/news869152 Content:
Nachrichten, Termine, Experten d Instanz: Teilen Teilen: 14.04.2026 16:03 Positions were in high demand: 20 international teams – more than ever before – will face one of the world’s most demanding performance tests for military robotics at the European Land Robot Trial (ELROB) in mid-June. The impressive venue for this four-day major event is the Thun military training area, which the Swiss Federal Office for Defense Procurement (armasuisse) is providing as host in collaboration with the Swiss Army. Here, the participants will compete with their robotic systems in several disciplines, whose realistic scenarios have been developed by a team led by Dr Frank E. Schneider from the Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE. “This year’s field of participants is particularly exciting,” says Schneider, looking at the registration list. “An interesting mix of established teams we already know from previous events and those taking part in ELROB for the very first time.” Among the latter, the deputy head of the FKIE’s “Cognitive Mobile Systems” (CMS) department cites Team Łukasiewicz-PIAP from Poland and the two German teams GAP and FENRIDE. Further participants are travelling to Thun from the Netherlands, the Czech Republic, Austria and Switzerland, whilst two teams are coming to ELROB this year specifically from Canada. Highly realistic scenarios In the main disciplines of Reconnaissance, Transport (Mule) and Search & Rescue (SAR), the teams will put their Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs) through their paces over four days. Common to all scenarios is the high level of realism and the close alignment with the current needs of the armed forces. It is no coincidence that, against this backdrop, several teams have shown an interest in the "Mule" discipline, for example, which is "closely aligned with procurement", as Schneider explains: "The transport of personnel and equipment is an essential component of military operations. In hostile environments, however, this is a dangerous and demanding task, which is why UGVs are increasingly being deployed here." In Thun, their practical suitability can be tested and demonstrated to the fullest extent. The military training area is not only the oldest but, at around 6.5 square kilometres, also the largest of its kind in Switzerland. In its centre, a large tent city is being set up for the participants, where they can program, tinker with and fine-tune their robots and drones around the clock. For Schneider, who has been organising ELROB every two years with his team since 2006, the venue is familiar. Thanks to a trilateral R&D cooperation between Germany, Austria and Switzerland, the host country for the competition rotates every two years: “Thun was already the venue in 2012 and we are delighted to be back here now,” says Schneider. For ELROB host Dr Thomas Rothacher, Head of armasuisse Science and Technology and Deputy Chief of Defence, cross-border cooperation enables “a valuable exchange of experience and knowledge.” At the same time, the event offers “a unique opportunity to test robotics technologies in military operations and thereby strengthen security-related robotics research between industry, universities and national and international partners,” says Rothacher. Constantly redesigned scenarios The team is not revealing any details about the scenarios. Suffice it to say that this time there is no urban environment; there are no buildings or other structures to explore. The tasks require different approaches and solutions, which will, incidentally, be assessed by an international jury led by the renowned robotics expert Prof. Dr Henrik I. Christensen. “The demands on robotics are increasing rapidly,” says ELROB initiator Schneider. “And we are responding to this by constantly redesigned scenarios.” He is particularly pleased with the diverse field of participants from research, universities and industry: “This shows once again that ELROB more than lives up to its claim of bringing users, researchers and clients together.” European Land Robot Trial 15 to 19 June 2026 Thun Military Base, Switzerland Dr Frank E. Schneider, Cognitive Mobile Systems Department Fraunhofer Institute for Communication, Information Processing and Ergonomics FKIE frank.schneider@fkie.fraunhofer.de I Telephone: +49 228 9435481 https://www.fkie.fraunhofer.de/en/press-releases/2026-elrob.html http://www.fkie.fraunhofer.de/elrobhttp://www.elrob.org <What is the current state of robotics? At ELROB, teams are testing their unmanned ground and aerial ...Quelle: Fabian VoglCopyright: Fraunhofer FKIE <A dedicated tent city is being set up at the Thun military training area, where the teams will prepa ...Quelle: Fabian VoglCopyright: Fraunhofer FKIE Merkmale dieser Pressemitteilung: Journalisten, Wirtschaftsvertreter, Wissenschaftler Informationstechnik überregional Forschungs- / Wissenstransfer, Wettbewerbe / Auszeichnungen Englisch <What is the current state of robotics? At ELROB, teams are testing their unmanned ground and aerial ...Quelle: Fabian VoglCopyright: Fraunhofer FKIE <A dedicated tent city is being set up at the Thun military training area, where the teams will prepa ...Quelle: Fabian VoglCopyright: Fraunhofer FKIE Zum Download Zum Download Suche in Pressemitteilungen Suche in Terminen Anfangsdatum Enddatum Sie können Suchbegriffe mit und, oder und / oder nicht verknüpfen, z. B. Philo nicht logie. Verknüpfungen können Sie mit Klammern voneinander trennen, z. B. (Philo nicht logie) oder (Psycho und logie). Zusammenhängende Worte werden als Wortgruppe gesucht, wenn Sie sie in Anführungsstriche setzen, z. B. „Bundesrepublik Deutschland“. Die Erweiterte Suche können Sie auch nutzen, ohne Suchbegriffe einzugeben. Sie orientiert sich dann an den Kriterien, die Sie ausgewählt haben (z. B. nach dem Land oder dem Sachgebiet). 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| X Square Robot Hosts Inaugural EAIDC 2026, Advancing Real-World Deployment … | https://moneycompass.com.my/x-square-ro… | 1 | Apr 16, 2026 16:00 | active | |
X Square Robot Hosts Inaugural EAIDC 2026, Advancing Real-World Deployment of Embodied AI - Money CompassDescription: Money Compass is one of the credible Chinese and English financial media in Malaysia with strong influence in Malaysia’s financial industry. As the winner of the SME Award in Malaysia for 5 consecutive years, we persistently propel the financial industry towards a mutually beneficial framework. Since 2004, with the dedication to advocating the public to practice financial planning in everyday life, Money Compass has accumulated a vast connection in ASEAN financial industries and garnered government agencies and corporate resources. At present, Money Compass is adjusting its pace to transform into Money Compass 2.0. Consolidating the existing connections and network, Money Compass Integrated Media Platform is founded, which is well grounded in Malaysia whilst serving the ASEAN region. The mission of the new Money Compass Integrated Media Platform is to become the financial freedom gateway to assist internet users enhance financial intelligence, create wealth opportunities and achieve financial freedom for everyone! Content:
SHENZHEN, China, April 2, 2026 /PRNewswire/ — X Square Robot, an emerging leader in embodied AI and humanoid robotics, announced the successful conclusion of the world’s first Embodied AI Developers Conference (EAIDC 2026), the first global gathering dedicated specifically to developers building embodied AI systems. EAIDC 2026 marks one of the first large-scale industry gatherings dedicated to embodied AI, bringing together leading researchers, developers, and technology companies to accelerate the transition of intelligent systems from laboratory research to real-world applications. The event features live robotic demonstrations, a national-level hackathon, and discussions between academia and industry focused on deployment, commercialization, and ecosystem development. EAIDC 2026, the world’s first embodied intelligence developer competition, is designed to accelerate real-world innovation through hands-on collaboration and deployment-focused challenges. X Square Robot hosted EAIDC as part of a broader effort to contribute to the global embodied AI ecosystem and expand its role in shaping the future of intelligent systems. The competition also introduced a set of “three firsts” designed to bring embodied AI development closer to real-world conditions, including real-robot task execution, continuous system evaluation, and full end-to-end deployment workflows. Task design focused on four core capability areas — grasping and placement, language understanding, fine manipulation, and long-horizon decision-making — with participants completing challenges such as ring placement, instruction-based fruit sorting, cable plugging, and word spelling. A full-variable evaluation approach required teams to operate without preset parameters, using randomized real-world environments to test true adaptability and model robustness. The company is operating at a time of growing global momentum around humanoid robotics, as advances in physical AI and vision-language-action (VLA) models begin to unlock more complex, real-world capabilities. The company has raised approximately $280 million to date, with backing from investors including Alibaba, ByteDance, Meituan, HongShan (formerly Sequoia China), and other leading technology and venture firms. X Square Robot is focused on developing general-purpose humanoid systems capable of operating in dynamic, unstructured environments. Its technology centers on embodied foundation models designed to enable robots to perceive, adapt, and perform tasks across a range of real-world scenarios. The company has begun generating early revenue from deployments across sectors including education, hospitality, and elder care, and is exploring broader applications in household services through collaborations such as its partnership with 58.com. The company has also been active in advancing technical research and industry engagement, including participation in global AI forums and academic communities such as CVPR, reflecting its commitment to contributing to both the development and commercialization of embodied intelligence. These efforts reflect a broader industry shift toward applying AI-driven robotics to address labor shortages and operational challenges in both consumer and commercial environments. By hosting EAIDC 2026, X Square Robot is engaging with a growing global ecosystem of developers and industry stakeholders working to define the next generation of intelligent systems. The company views this as part of a broader strategy to expand its international presence and establish itself as a global innovator in embodied AI. For more information, visit https://x2robot.com/. About X Square Robot X Square Robot is a global innovator in embodied artificial intelligence, robotics, and autonomous systems. The company develops integrated software and hardware platforms that enable robots to perceive, reason, and act safely in complex environments. Partnering with leading universities and technology institutions, X Square Robot delivers scalable AI infrastructure and establishes open benchmarks to drive worldwide progress in intelligent robotics. Your email address will not be published. Required fields are marked * Comment * Name * Email * Website Save my name, email, and website in this browser for the next time I comment. Copyright © 2024 Money Compass Media (M) Sdn Bhd. All Rights Reserved Login to your account below Remember Me Please enter your username or email address to reset your password. Copyright © 2024 Money Compass Media (M) Sdn Bhd. All Rights Reserved
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| Agibot's G2 humanoid robots with embodied AI work in Chinese … | https://interestingengineering.com/ai-r… | 1 | Apr 16, 2026 16:00 | active | |
Agibot's G2 humanoid robots with embodied AI work in Chinese factoryURL: https://interestingengineering.com/ai-robotics/agibot-humanoid-robot-china-factory Description: Agibot deploys humanoid G2 robots in live factory, handling precise tasks and advancing real-world industrial AI adoption. Content:
From daily news and career tips to monthly insights on AI, sustainability, software, and more—pick what matters and get it in your inbox. Access expert insights, exclusive content, and a deeper dive into engineering and innovation all with fewer ads or a completely ad-free experience. All Rights Reserved, IE Media, Inc. Follow Us On Access expert insights, exclusive content, and a deeper dive into engineering and innovation all with fewer ads or a completely ad-free experience. All Rights Reserved, IE Media, Inc. System hits 310 units/hour, 19–20 sec cycles, 99 percent success; integrated in 36 hours, producing about 3,000 units per shift. Chinese robotics player Agibot has revealed that it has deployed its humanoid robots in a live manufacturing facility. The rollout of Agibot G2 robots at the Shagahai-based electronics manufacturer Longreacher Technology’s facility marks a step toward real-world industrial adoption of embodied AI systems. The Agibot G2 units are now operating at multimedia-integrated testing stations, where they handle precise loading and unloading tasks. According to Agibot, the deployment highlights the growing role of humanoid robots in manufacturing environments, demonstrating their ability to perform repetitive, high-accuracy operations alongside existing production workflows. In March, Agibot announced the rollout of its 10,000th humanoid robot, marking a major milestone in embodied AI industrialization. At Longcheer Technology’s production facilities, Agibot G2 robots are currently deployed at its multimedia-integrated testing stations. The robots are responsible for executing precision loading and unloading tasks. These operations require a high degree of accuracy, consistency, and coordination, demonstrating the maturity of Agibot’s hardware and software systems in handling repetitive industrial processes. The testing stations combine multiple functional modules, requiring seamless interaction between perception, motion planning, and manipulation. According to Agibot, G2 robots leverage multi-modal sensing capabilities, including visual perception and spatial awareness, to accurately identify objects and execute task sequences. Their ability to operate continuously within structured production workflows highlights their readiness for industrial adoption. According to Agibot, the deployment is broader in strategy, building a full-stack ecosystem for embodied intelligence. The company integrates robot hardware, AI models, and large-scale data infrastructure to enable continuous learning and improvement. Through this approach, robots are not limited to predefined instructions but can adapt to variations in tasks and environments over time. “This project shows that embodied AI is no longer experimental. It is a practical, production‑ready capability that can operate reliably in real industrial environments and deliver measurable economic value,” said Maoqing Yao, Partner, Senior Vice President, and President of the Embodied Business Unit at Agibot, in a statement. The system is capable of operating in high-precision manufacturing tasks, navigating complex factory layouts, placing devices into testing fixtures with millimeter-level accuracy, and sorting finished or defective units accordingly. Unlike conventional industrial automation, the system requires no custom tooling and supports mixed-model production, enabling faster changeovers and significantly reducing downtime. Agibot claims the deployment has demonstrated strong, quantifiable performance across key industrial metrics, including throughput of up to 310 units per hour, cycle times of approximately 19–20 seconds per operation, and a success rate exceeding 99 percent in continuous operation. Production line integration was completed within 36 hours, with output reaching approximately 3,000 units per shift. The system supports 24/7 autonomous operation with minimal human intervention, achieving over 140 hours of cumulative continuous operation while maintaining downtime loss below 4 percent. A single Agibot G2 robot can replace multiple manual processes while maintaining consistent output, enabling manufacturers to balance efficiency, cost, and flexibility in a unified system. The system’s performance is driven by Agibot’s embodied AI approach, allowing robots to be deployed quickly, adapt to changing production conditions, and operate reliably in high-speed manufacturing environments. By combining simulation-based validation, reinforcement learning, and on-device intelligence, the system minimizes setup time, reduces the need for manual adjustments, and ensures stable performance in continuous production. With multiple units already in operation, Agibot plans to expand deployment to 100 robots by Q3 2026, accelerating adoption across industries including automotive, semiconductors, and energy. Experts suggest the developments reflect a broader shift in manufacturing from rigid, hardware-defined automation toward flexible, software-driven intelligent systems powered by embodied AI. Jijo is an automotive and business journalist based in India. Armed with a BA in History (Honors) from St. Stephen's College, Delhi University, and a PG diploma in Journalism from the Indian Institute of Mass Communication, Delhi, he has worked for news agencies, national newspapers, and automotive magazines. In his spare time, he likes to go off-roading, engage in political discourse, travel, and teach languages. Exclusive content, expert insights and a deeper dive into engineering and tech. No ads, no limits. Exclusive content, expert insights and a deeper dive into engineering and tech. No ads, no limits. 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| From Chatbots to Bodies: Embodied AI on ROSOrin Pro - … | https://www.hackster.io/HiwonderRobot/f… | 1 | Apr 16, 2026 16:00 | active | |
From Chatbots to Bodies: Embodied AI on ROSOrin Pro - Hackster.ioURL: https://www.hackster.io/HiwonderRobot/from-chatbots-to-bodies-embodied-ai-on-rosorin-pro-8e3215 Description: Stop restricting AI to a screen. Learn how ROSOrin Pro gives LLMs a physical presence to sense, move, and interact with the 3D world. 🤖🌍. Find this and other hardware projects on Hackster.io. Content:
Add the following snippet to your HTML:<iframe frameborder='0' height='385' scrolling='no' src='https://www.hackster.io/HiwonderRobot/from-chatbots-to-bodies-embodied-ai-on-rosorin-pro-8e3215/embed' width='350'></iframe> Stop restricting AI to a screen. Learn how ROSOrin Pro gives LLMs a physical presence to sense, move, and interact with the 3D world. 🤖🌍 Read up about this project on Stop restricting AI to a screen. Learn how ROSOrin Pro gives LLMs a physical presence to sense, move, and interact with the 3D world. 🤖🌍 The biggest hurdle in modern robotics isn't the AI—it’s the "hand-off" between software logic and hardware execution. This is why the ROSOrin Pro is designed to be OpenClaw Ready out of the box. OpenClaw is more than just a gripper standard; it is a unified framework that allows Large Language Models (LLMs) to communicate with physical actuators. By being "OpenClaw Ready," the ROSOrin Pro ensures that developers can skip the nightmare of low-level driver integration. Whether you are deploying a custom GPT-based agent or a local Llama 3 node, the platform provides a plug-and-play interface for complex 3D manipulation, allowing your AI to focus on the "Thinking" while the hardware handles the "Doing." Why does "Embodied AI" matter? A chatbot can describe how to pick up a cup, but it lacks a "nervous system" to feel the weight or see the steam. Embodied AI is about Spatial Grounding—linking digital tokens to physical coordinates. The ROSOrin Pro serves as the ultimate development sandbox for this evolution. Powered by the NVIDIA Jetson Orin Nano or Raspberry Pi 5, it provides the high-performance edge computing necessary to run multimodal models that perceive, reason, and act in real-time. It transforms a static AI into a mobile agent capable of navigating human environments. An intelligent agent is only as smart as its data. The ROSOrin Pro utilizes a sophisticated sensory suite to "ground" its intelligence: To ensure the AI’s "thoughts" translate into fluid motion, the ROSOrin Pro runs on ROS 2 Humble. This middleware acts as the robot's backbone, managing the high-speed communication between the AI vision nodes and the 6-DOF robotic arm. With built-in Inverse Kinematics (IK), the ROSOrin Pro can calculate complex trajectories on the fly. When the AI decides to "Move the red block to the bin," the ROS 2 stack autonomously plans the arm’s path, avoiding obstacles and maintaining balance, effectively acting as the robot’s "motor cortex." Embodied AI is a two-way street. Using the onboard AI Voice Interaction Module, the ROSOrin Pro creates a multimodal feedback loop. It doesn't just take orders; it interacts. If an object is out of reach or too heavy, the robot can communicate this back to the user or the LLM to refine the task. This level of "Reasoning-in-the-Loop" is what separates a smart car from a true autonomous assistant. The era of physical AI agents is just beginning, and we want you to lead the charge. We are excited to announce that our comprehensive OpenClaw gameplay tutorials for the ROSOrin Pro are launching soon! These upcoming guides will cover everything from local LLM deployment to 3D visual grasping algorithms. Don’t miss out on the next wave of Embodied AI: Follow Hiwonder on GitHub to access our open-source codebases and pre-configured ROS 2 images. Watch our Hackster Profile for free project guides and cutting-edge developer resources. Hackster.io, an Avnet Community © 2026
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| Russians will surrender to robots. Russian robots won’t. - Defense … | https://www.defenseone.com/technology/2… | 1 | Apr 16, 2026 08:00 | active | |
Russians will surrender to robots. Russian robots won’t. - Defense OneDescription: After a historic first, communications and navigation still obstruct the future for roboticized ground assault. Content:
The ground vehicle ULTRA from Ukrainian company Overland Al allows operators to deploy multiple drones with no human present. Courtesy OVERLAND AI Stay Connected Patrick Tucker NATO is studying how to use ground and air robots to replace human soldiers in assaults, something Ukraine has been doing for more than a year. But that hasn’t stopped Russia’s continuous assault with its own, increasingly autonomous one-way attack drones. On Tuesday, Ukrainian President Volodymyr Zelensky made a social-media splash with a video describing a historic first from last July: a skirmish in which Russian troops surrendered to Ukrainian robots. “The future is already on the front line—and Ukraine is building it,” Zelenskyy said in the video, adding that Ukrainian robotics companies “have already carried out more than 22,000 missions on the front in just three months.” Still, the Ukrainian president offered far fewer details than did Ukraine’s 3rd Assault Brigade in its own July 2025 post. “Enemy fortifications were attacked” by first-person-view aerial drones and ground robots armed with explosives and made by Nazemnyi Robotychnyi Kompleks, the post said. “The next robot was already approaching the destroyed dugout when the enemy, in order to avoid being blown up, announced surrender. The occupiers who survived were taken to our lines by ‘birds’ [aerial drones] and, according to the regulations, taken prisoner.” “The operation was carried out without infantry and without losses on our side,” it said. “The occupiers surrendered to the ground robots of the Third Assault!” Ukraine’s ground-robot game advanced quickly in the following months, said Olena Kryzshanivska, a senior editor at the NATO Association of Canada who first relayed the news to English-language audiences. “Already…[by the] beginning of this year, we saw several documented cases when UGVs [unmanned ground vehicles] were used for strike missions. They were either delivering grenades [or] they were sometimes … attacking trenches, attacking Russian troops,” Kryzshanivska said in February during a podcast with CNAS adjunct senior fellow Sam Bendett. That sort of combined robotic fast maneuver is one of the ways Ukraine is forcing a reconsideration of decades of military doctrine, and NATO is taking notice. In February, its Allied Command Transformation announced the extension of a study on Force Lethality Enhancement to build out “a few practical force options and test them against realistic scenarios to see what works, and what it would take to use them on operations.” Another alliance effort to integrate ground robots, part of the multidomain Task Force X, is being led by Brig. Gen. Chris Gent, NATO deputy chief of staff transformation and integration. Venture capitalists are taking note as well. Eric Brock of Ondas Capital told Defense One in January that his firm is investing in “ground robots that are tailored towards defense and homeland security but also critical infrastructure protection in certain places.” Challenges The biggest constraint in using first-person-view drones is that an operator can generally fly just one at a time. But the drone can fly itself to waypoints, loiter in the air, and reconnect after brief communications interruptions. Ground robots, by contrast, need constant attention because navigation remains a technical challenge, John Hardie, of the Foundation for the Defense of Democracies, told reporters in February. And UGV operators must also stay in frequent contact with the operators of the aerial drones above. “My understanding is that they've experimented with autonomous navigation, but it’s especially difficult with [unmanned ground vehicles] for that to be reliable. So I don't think they're there yet,” Hardie said. Ukraine has also been hunting for alternatives to GPS, which is jammable. Since 2023, it has been experimenting with visual- and terrain-matching systems and other AI-powered ideas for long-range navigation, Hardie said. Russia, too, has carried out robotic operations in large volumes. But they’re limited to strikes with one-way attack drones like Shaheds and, occasionally evacuation of the wounded, not taking positions. The Lancet drones produced by Russia’s ZALA company are guided on final approach to their targets by matching camera imagery to preloaded maps. It works well enough—because Russian forces place less of a premium on collateral damage or striking the right target. For Ukrainians, the goal is greater autonomy, allowing one operator to preside over fleets of ground and air robots but with confidence that they will perform the mission assigned, hit the target that they’re supposed to hit and not simply whatever happens to be there when the drone finally arrives. It’s the same sort of complex multi-drone swarm capability that the Pentagon is seeking to develop. Ukrainian Air Force Capt. Max Maslii, deputy chief of staff for the 96th Anti-Aircraft Missile Brigade, described that goal as a departure from the way Russia operates “autonomous” drones like the Lancet, as isolated flying bombs. Under the “new paradigm,” Maslii told Defense One, the drones would be able to “find the … more efficient way to accomplish this mission, together with such machines.” At that point, he said, operators wouldn’t be stuck piloting one drone at a time. They would work more like technicians managing a larger, more complex system. “Our job will be … to produce a lot of drones, to put them in the proper place, to take care [of] the systems that manage those drones, and just to, you know, turn them on.” NEXT STORY: Put nuclear reactors in space within a few years, White House tells Pentagon Help us tailor content specifically for you: Thank you for subscribing! 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| HD Hyundai affiliates partner to develop AI-powered welding robots for … | https://en.yna.co.kr/view/AEN2026032300… | 1 | Apr 16, 2026 00:00 | active | |
HD Hyundai affiliates partner to develop AI-powered welding robots for shipyards | Yonhap News AgencyURL: https://en.yna.co.kr/view/AEN20260323004500320 Description: SEOUL, March 23 (Yonhap) -- HD Hyundai Co. said Monday its key affiliates and a U.S. robot... Content:
All Headlines North Korea Sports Top News Most Viewed Korean Newspaper Headlines Today in Korean History Yonhap News Summary Editorials from Korean Dailies URL is copied. SEOUL, March 23 (Yonhap) -- HD Hyundai Co. said Monday its key affiliates and a U.S. robotics firm have forged a partnership to develop and commercialize artificial intelligence (AI)-powered humanoid welding robots for shipyard projects. The partnership agreement was signed recently between HD Korea Shipbuilding & Offshore Engineering (KSOE) Co. and HD Hyundai Robotics Co., along with Persona AI, a Houston-based company specializing in humanoid robots, according to the South Korean shipbuilder. It is a follow-up to a memorandum of understanding signed in May of last year on developing humanoid robots for shipyard welding. HD Hyundai noted that a prototype under development since last year has demonstrated sufficient technological feasibility and potential. Under the agreement, HD KSOE will develop welding training technologies for robots using data accumulated at shipyards, while HD Hyundai Robotics will oversee system integration for robot deployments. Persona AI plans to develop a bipedal humanoid platform capable of stable movement in shipyard environments. HD Hyundai said it plans to gradually deploy shipyard-specific humanoid welding robots at actual shipbuilding sites capable of performing complex tasks. This photo provided by HD Hyundai Co. on March 23, 2026, shows (from L to R) Song Young-hoon, head of the solutions development division at HD Hyundai Robotics Co., Lee Dong-joo, head of the manufacturing innovation institute at HD KSOE Co., and Persona AI Chief Executive Officer (CEO) Nick Radford posing for a commemorative photo at HD Hyundai Co.'s global research and development center in Pangyo, south of Seoul, after the companies signed a partnership agreement to develop AI-powered humanoid welding robots. (PHOTO NOT FOR SALE) (Yonhap) odissy@yna.co.kr(END) All News National North Korea Economy/Finance Biz Culture/K-pop Sports Images Videos Top News Most Viewed Korean Newspaper Headlines Today in Korean History Yonhap News Summary Editorials from Korean Dailies Korea in Brief Useful Links Weather Advertise with Yonhap News Agency
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| Watch McDonald's test humanoid robots on the front line - … | https://www.digitaltrends.com/computing… | 1 | Apr 16, 2026 00:00 | active | |
Watch McDonald's test humanoid robots on the front line - Digital TrendsURL: https://www.digitaltrends.com/computing/mcdonalds-test-humanoid-robots/ Description: A McDonald’s in the Chinese megacity of Shanghai is testing humanoid robots in roles usually the preserve of human workers, with other types of robots also let loose inside the restaurant to greet and entertain diners. Truth be told, the robots don’t look particularly advanced, but a video (below) showing them in action does hint […] Content:
A McDonald’s in the Chinese megacity of Shanghai is testing humanoid robots in roles usually the preserve of human workers, with other types of robots also let loose inside the restaurant to greet and entertain diners. Truth be told, the robots don’t look particularly advanced, but a video (below) showing them in action does hint at a future where bipedal bots and other machines handle routine tasks at fast food restaurants, from welcoming customers and taking orders to delivering food and cleaning the floor. A McDonald’s in Shanghai has begun deploying humanoid robots (from KEENON Robotics) to serve customers.> These humanoid robots provide information, greet guests, and help enliven the atmosphere.> Food delivery robots serve meals to customers and collect used trays.in the… pic.twitter.com/IEFzucz3IE The McDonald’s trial, using robots supplied by Chinese firm Keenon Robotics, comes at a time of economic contradiction in China, where businesses in some sectors are struggling to hire even as millions of young people face difficulty finding work. It’s this tension that makes the McDonald’s trial stand out, with restaurant operators interested in deploying a reliable, potentially low-cost workforce in a strategy that raises fears of displacement among human workers in the service sector, which up to now has been a popular route into the workforce. The reality, however, is more complicated. China’s workforce is shrinking as the population ages, while many younger job seekers are reluctant to take on low-paid, repetitive work. In that case, robot technology could be used to fill gaps rather than simply replace people. Still, the presence of robots in such a visible, everyday setting highlights how quickly that balance could shift. While it could be a while before McDonald’s deploys humanoid robots in a more meaningful way, adding them to restaurants as greeters and entertainers could potentially draw curious diners, especially families with kids who might want to interact with the machines while waiting for their meal to arrive. Even if the fast food giant eventually wants robots to run its restaurants, such a scenario is almost certainly many years away, simply because the technology isn’t yet up to it. What feels more likely, at least in the short term, is a hybrid setup where human workers handle the majority of tasks while the robots take on more basic, customer-facing roles out front. Subtlety is overrated, and MSI just proved that. The Taiwanese laptop maker has rolled out a sweeping refresh, unveiling more than a dozen new gaming laptops spread across its Cyborg, Crosshair, Raider, Stealth, and Titan lineups. The models cover 15-inch, 16-inch, and 18-inch form factors, ensuring there’s something for every gamer or professional user, making it hard for buyers to run out of excuses for not upgrading this year. Google made an unexpected cameo on Macs with the launch of a native Gemini app. What’s even more interesting (and a bit funny) is that the app arrived at Apple’s long-promised Siri upgrade (and a rumored standalone app for the voice assistant). The free app is available on macOS 15 and above. Though the app isn’t available on the App Store (yet), you can download it from Google’s official landing page. Nothing launched a genuinely useful app called Warp earlier today, with a simple idea: allowing Android users to share files, links, and copied texts directly to their Mac, Windows, or Linux machines without including any cables or convoluted workarounds. Nothing announced the app for Chrome and Edge (Chromium-based web browsers) and Android smartphones, floating it on both the Chrome Web Store and the Google Play Store (via 9To5Google). However, a few hours later, the app is nowhere to be found, with the official listings returning errors. Upgrade your lifestyleDigital Trends helps readers keep tabs on the fast-paced world of tech with all the latest news, fun product reviews, insightful editorials, and one-of-a-kind sneak peeks.
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| HD Hyundai will test welding humanoid robots at shipyards - … | https://www.upi.com/Top_News/World-News… | 1 | Apr 16, 2026 00:00 | active | |
HD Hyundai will test welding humanoid robots at shipyards - UPI.comDescription: South Korea's HD Hyundai said Monday it would test welding humanoid robots at shipyards operated by its affiliates, including a shipbuilder. Content:
SEOUL, March 23 (UPI) -- South Korea's HD Hyundai said Monday it would test welding humanoid robots at shipyards operated by its affiliates, including the world's leading shipbuilder HD Hyundai Heavy Industries. HD Hyundai noted that its subsidiaries have recently signed an agreement with U.S.-based artificial intelligence company Persona AI, a high-profile startup on industrial humanoid robots. Under the partnership, HD Hyundai will leverage its shipyard data to come up with robot training technologies for field testing. Meanwhile, Persona AI is poised to focus on developing a bipedal humanoid platform designed to stably move in complex shipyard environments, according to HD Hyundai. The Seoul-based conglomerate said that the project aims to test robots capable of performing high-level tasks such as welding by replicating the expertise and working patterns of highly skilled personnel. "Humanoids tailored for shipyards will serve as a key foundation for future smart facilities by enhancing worker safety while improving production efficiency," HD Hyundai said in a statement. "We plan to lead a new paradigm in the shipbuilding industry by introducing humanoids into ship construction sites." The group did not disclose a timeline for deploying the robots in actual operations. Such a move is expected to face strong opposition from labor unions. The share price of HD Hyundai dipped 9.23% on Monday on the Seoul bourse. The country's benchmark KOSPI dropped 6.49% amid rising tensions between Washington and Tehran. Read More Labor union rallies behind Korea Zinc before key shareholder battle Korea Aerospace Industries' new CEO takes office South Korea seeks to attract global visitors with 'K-Chicken Belt' Topics BusinessTechnology Latest Headlines World News // 21 minutes ago South Korea pet insurance market grows but uptake remains low April 15 (Asia Today) -- S. Korea's pet insurance market has expanded more than threefold in the past three years, but low enrollment rates continue to limit its growth. World News // 26 minutes ago IAEA chief says North Korea expands uranium enrichment April 15 (Asia Today) -- Rafael Grossi said that North Korea has built a new uranium enrichment facility, signaling a significant expansion of its nuclear capabilities. World News // 33 minutes ago South Korea import prices post biggest jump in 28 years April 15 (Asia Today) -- S. Korea's import prices rose 16.1% in March from a month earlier, the sharpest monthly increase in more than 28 years, according to the Bank of Korea. World News // 45 minutes ago South Korea moves to stabilize farm supplies amid price risks April 15 (Asia Today) -- S. Korea has secured stable supplies of agricultural fertilizer through July and is expanding subsidies to offset rising costs farming materials. World News // 54 minutes ago South Korean charities push tax incentives for legacy giving April 15 (Asia Today) -- More than 200 charities in South Korea are urging lawmakers to adopt tax incentives for legacy donations to expand the country's culture of giving. World News // 1 hour ago North Korea avoids 'Day of the Sun' term in state media April 15 (Asia Today) -- N. Korea has avoided using the term "Day of the Sun" in state media coverage marking the birthday of Kim Il Sung, signaling a shift to current leader. World News // 1 hour ago South Korea pushes looser rules for high-tech sectors April 15 (Asia Today) -- Lee Jae-myung said South Korea should shift to a "negative regulation" system in advanced technology sectors to strengthen global competitiveness. World News // 12 hours ago Iran threatens shipping in Red Sea as Trump says talks likely to restart April 15 (UPI) -- As a U.S. blockade of Iranian ports continues, Iran threatened Wednesday to halt shipping in the Red Sea, the Persian Gulf and the Gulf of Oman. World News // 5 hours ago Milei's approval falls in Argentina as inflation picks up again BUENOS AIRES, April 15 (UPI) -- Public discontent with Argentine President Javier Milei is rising as inflation accelerates again and many people say they have yet to feel the benefits of the government's economic reforms. World News // 5 hours ago Separatists in Cameroon pause fighting for Pope Leo XIV visit April 15 (UPI) -- Pope Leo XIV landed in Cameroon Wednesday, and English-speaking separatists in the country announced a pause in fighting for "safe travel passage." SEOUL, March 23 (UPI) -- South Korea's HD Hyundai said Monday it would test welding humanoid robots at shipyards operated by its affiliates, including the world's leading shipbuilder HD Hyundai Heavy Industries. HD Hyundai noted that its subsidiaries have recently signed an agreement with U.S.-based artificial intelligence company Persona AI, a high-profile startup on industrial humanoid robots. Under the partnership, HD Hyundai will leverage its shipyard data to come up with robot training technologies for field testing. Meanwhile, Persona AI is poised to focus on developing a bipedal humanoid platform designed to stably move in complex shipyard environments, according to HD Hyundai. The Seoul-based conglomerate said that the project aims to test robots capable of performing high-level tasks such as welding by replicating the expertise and working patterns of highly skilled personnel. "Humanoids tailored for shipyards will serve as a key foundation for future smart facilities by enhancing worker safety while improving production efficiency," HD Hyundai said in a statement. "We plan to lead a new paradigm in the shipbuilding industry by introducing humanoids into ship construction sites." The group did not disclose a timeline for deploying the robots in actual operations. Such a move is expected to face strong opposition from labor unions. The share price of HD Hyundai dipped 9.23% on Monday on the Seoul bourse. The country's benchmark KOSPI dropped 6.49% amid rising tensions between Washington and Tehran.
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| HD Hyundai will test welding humanoid robots at shipyards - … | https://www.upi.com/Top_News/World-News… | 1 | Apr 16, 2026 00:00 | active | |
HD Hyundai will test welding humanoid robots at shipyards - UPI.comURL: https://www.upi.com/Top_News/World-News/2026/03/23/HDHyundai-robot-welding/7311774270066/ Description: South Korea's HD Hyundai said Monday it would test welding humanoid robots at shipyards operated by its affiliates, including a shipbuilder. Content:
SEOUL, March 23 (UPI) -- South Korea's HD Hyundai said Monday it would test welding humanoid robots at shipyards operated by its affiliates, including the world's leading shipbuilder HD Hyundai Heavy Industries. HD Hyundai noted that its subsidiaries have recently signed an agreement with U.S.-based artificial intelligence company Persona AI, a high-profile startup on industrial humanoid robots. Under the partnership, HD Hyundai will leverage its shipyard data to come up with robot training technologies for field testing. Meanwhile, Persona AI is poised to focus on developing a bipedal humanoid platform designed to stably move in complex shipyard environments, according to HD Hyundai. The Seoul-based conglomerate said that the project aims to test robots capable of performing high-level tasks such as welding by replicating the expertise and working patterns of highly skilled personnel. "Humanoids tailored for shipyards will serve as a key foundation for future smart facilities by enhancing worker safety while improving production efficiency," HD Hyundai said in a statement. "We plan to lead a new paradigm in the shipbuilding industry by introducing humanoids into ship construction sites." The group did not disclose a timeline for deploying the robots in actual operations. Such a move is expected to face strong opposition from labor unions. The share price of HD Hyundai dipped 9.23% on Monday on the Seoul bourse. The country's benchmark KOSPI dropped 6.49% amid rising tensions between Washington and Tehran. Read More Labor union rallies behind Korea Zinc before key shareholder battle Korea Aerospace Industries' new CEO takes office South Korea seeks to attract global visitors with 'K-Chicken Belt' Topics BusinessTechnology Latest Headlines World News // 21 minutes ago South Korea pet insurance market grows but uptake remains low April 15 (Asia Today) -- S. Korea's pet insurance market has expanded more than threefold in the past three years, but low enrollment rates continue to limit its growth. World News // 26 minutes ago IAEA chief says North Korea expands uranium enrichment April 15 (Asia Today) -- Rafael Grossi said that North Korea has built a new uranium enrichment facility, signaling a significant expansion of its nuclear capabilities. World News // 33 minutes ago South Korea import prices post biggest jump in 28 years April 15 (Asia Today) -- S. Korea's import prices rose 16.1% in March from a month earlier, the sharpest monthly increase in more than 28 years, according to the Bank of Korea. World News // 45 minutes ago South Korea moves to stabilize farm supplies amid price risks April 15 (Asia Today) -- S. Korea has secured stable supplies of agricultural fertilizer through July and is expanding subsidies to offset rising costs farming materials. World News // 54 minutes ago South Korean charities push tax incentives for legacy giving April 15 (Asia Today) -- More than 200 charities in South Korea are urging lawmakers to adopt tax incentives for legacy donations to expand the country's culture of giving. World News // 1 hour ago North Korea avoids 'Day of the Sun' term in state media April 15 (Asia Today) -- N. Korea has avoided using the term "Day of the Sun" in state media coverage marking the birthday of Kim Il Sung, signaling a shift to current leader. World News // 1 hour ago South Korea pushes looser rules for high-tech sectors April 15 (Asia Today) -- Lee Jae-myung said South Korea should shift to a "negative regulation" system in advanced technology sectors to strengthen global competitiveness. World News // 12 hours ago Iran threatens shipping in Red Sea as Trump says talks likely to restart April 15 (UPI) -- As a U.S. blockade of Iranian ports continues, Iran threatened Wednesday to halt shipping in the Red Sea, the Persian Gulf and the Gulf of Oman. World News // 5 hours ago Milei's approval falls in Argentina as inflation picks up again BUENOS AIRES, April 15 (UPI) -- Public discontent with Argentine President Javier Milei is rising as inflation accelerates again and many people say they have yet to feel the benefits of the government's economic reforms. World News // 5 hours ago Separatists in Cameroon pause fighting for Pope Leo XIV visit April 15 (UPI) -- Pope Leo XIV landed in Cameroon Wednesday, and English-speaking separatists in the country announced a pause in fighting for "safe travel passage." SEOUL, March 23 (UPI) -- South Korea's HD Hyundai said Monday it would test welding humanoid robots at shipyards operated by its affiliates, including the world's leading shipbuilder HD Hyundai Heavy Industries. HD Hyundai noted that its subsidiaries have recently signed an agreement with U.S.-based artificial intelligence company Persona AI, a high-profile startup on industrial humanoid robots. Under the partnership, HD Hyundai will leverage its shipyard data to come up with robot training technologies for field testing. Meanwhile, Persona AI is poised to focus on developing a bipedal humanoid platform designed to stably move in complex shipyard environments, according to HD Hyundai. The Seoul-based conglomerate said that the project aims to test robots capable of performing high-level tasks such as welding by replicating the expertise and working patterns of highly skilled personnel. "Humanoids tailored for shipyards will serve as a key foundation for future smart facilities by enhancing worker safety while improving production efficiency," HD Hyundai said in a statement. "We plan to lead a new paradigm in the shipbuilding industry by introducing humanoids into ship construction sites." The group did not disclose a timeline for deploying the robots in actual operations. Such a move is expected to face strong opposition from labor unions. The share price of HD Hyundai dipped 9.23% on Monday on the Seoul bourse. The country's benchmark KOSPI dropped 6.49% amid rising tensions between Washington and Tehran.
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| Why Do Humanoid Robots Still Struggle With the Small Stuff? … | https://www.quantamagazine.org/why-do-h… | 1 | Apr 16, 2026 00:00 | active | |
Why Do Humanoid Robots Still Struggle With the Small Stuff? | Quanta MagazineURL: https://www.quantamagazine.org/why-do-humanoid-robots-still-struggle-with-the-small-stuff-20260313/ Description: The last decade has seen vast improvements in humanoid robots, but graduating to widespread use might require going back to the fundamentals. Content:
An editorially independent publication supported by the Simons Foundation. Get the latest news delivered to your inbox. Create a reading list by clicking the Read Later icon next to the articles you wish to save. Type search term(s) and press enter Popular Searches March 13, 2026 Companies are developing and now promoting a future full of humanoid robots. Henry Flores for Quanta Magazine Contributing Writer March 13, 2026 The last time I covered the science of humanoid robots, the state of the art looked downright Orwellian — by which I mean, “four legs good, two legs bad.” It was 2015. Boston Dynamics’ first “Spot” quadruped had taken YouTube by storm, confidently trotting up stairs and recovering from vicious kicks. Also popular at the time: humanoids falling down. Constantly. I felt sorrier for those tottering metal lobsters than I ever did for Spot. Bipedal locomotion is hard. Cut to now. Humanoids have apparently become so advanced that Tesla is mothballing some electric car models to make way for its Optimus humanoid robot, and start-ups are preselling android butlers with a straight face. Hype aside, I was genuinely curious: Did a paradigm shift happen in the field when I wasn’t looking? Sure, “AI” happened (that is, in the post-ChatGPT sense). I certainly hadn’t overlooked that. But I had no idea what it possibly had to do with robots not falling down anymore. AI breakthroughs have made humanoid robots more capable than ever. But they still struggle with everyday tasks like stairs and doors. For a reality check, I called Scott Kuindersma, who recently left Boston Dynamics after many years there, and Jonathan Hurst of Agility Robotics. Both scientists had been present and involved during the robot-faceplant days. Surely today’s robotic bipedal marvels can ascend a few stairs and open a door without breaking a nonexistent sweat, something they famously struggled with a decade ago. I asked each researcher: Can your flagship robot — Boston Dynamics’ Atlas or Agility’s Digit, two of the most credible and pedigreed humanoids on Earth — handle any set of stairs or doorway? “Not reliably,” Hurst said. “I don’t think it’s totally solved,” Kuindersma said. Don’t get me wrong: I don’t believe that some sock-faced robot zombie is close to taking over my household chores. But stairs and doors? It’s 2026. Why are humanoids still this … hard? To be fair, a paradigm shift did happen. Three, actually. First, deep learning — neural networks running on fast GPU chips — turbocharged computer vision and reinforcement learning, which radically improved the speed and sophistication with which robots could perceive and interact with their environments. Then in 2016, a revolution in actuation (roboticist-speak for “making parts move”) began: Heavy hydraulic mechanisms were replaced by smaller, “proprioceptive” electric motors that gave legged robots animal-like nimbleness. Most recently came the large language models. Adapting chatbot technology for robots, it turns out, lets them autonomously plan and perform multistep tasks, such as coring an apple or emptying a dishwasher (in demos, at least). In philosophy, “qualia” refers to the subjective qualities of our experience: what it’s like for Alice to see blue or for Bob to feel delighted. Qualia are “the ways things seem to us,” as the late philosopher Daniel Dennett put it. In these essays, our columnists follow their curiosity, and explore important but not necessarily answerable scientific questions. These advances created the night-and-day difference between “Running Man,” the hulking, halting version of Atlas that won second place in 2015’s DARPA Robotics Challenge, and the svelte, smooth Atlas recently shown breakdancing and autonomously moving irregular items from one bin to another (while dealing with interference from a hockey stick–wielding human). That fluid gait, for example, comes from deep reinforcement learning. Roboticists once coordinated each movement with various hand-engineered algorithms, using equations to model the (simplified) physics of the robot. Now they train neural networks to act as “whole-body controllers” by running countless digital simulations of the humanoid. This process teaches the network a “policy” for how to translate feedback from its environment into actions. “We use reinforcement learning to build a policy that’s handling the body coordination, collision avoidance, balance, all that stuff,” Kuindersma said. There’s no longer any need to model a robot’s leg as a linear inverted pendulum, for example. “That’s just gone by the wayside,” he said. Get Quanta Magazine delivered to your inbox The Atlas robot from Boston Dynamics shows off in a video from early 2025. Boston Dynamics/Anadolu Agency via Getty Images This strategy was aided by the proprioceptive actuators pioneered by Sangbae Kim of the Massachusetts Institute of Technology in his Cheetah series of robots. “Reinforcement learning has existed for a long time, you know. People tried it before,” Kim said. “But if you use conventional [motors], the robot just breaks” every time it fails to perfectly execute a policy in the real world — or encounters an obstacle or disturbance. Kim’s actuators got around the problem with controllable “compliance,” or flexible springiness. Over the past decade, they’ve gotten cheaper and more widely accessible. “Reinforcement learning solved a lot of the [bipedal] locomotion problem, but the hardware was the enabler,” Kim said. To have robots which work like humans, I think we have to master physics. Pulkit Agrawal If reinforcement learning and compliant actuation were gifts to humanoid robotics, multimodal AI put a bow on it. In 2023, Google DeepMind introduced “vision-language-action” (VLA) models, which can take in video and natural language and produce movement commands as outputs. “If you say ‘I’m thirsty,’ it knows you probably want to drink, and it can [generate] the steps that [the robot] needs to take: Go find a thing, and then pick it up in this way,” said Carolina Parada, head of robotics at Google DeepMind. “This is something that, before three years ago, you would have to go hard-code.” In a stroke, VLAs united previously disparate approaches to robotic perception, planning, and control into one general-purpose pipeline. Robust embodiment, check. Generalizable intelligence, check. (A start, anyway.) So why don’t they add up to humanoids being scientifically “solved” — at least in principle? Pulkit Agrawal, who studies robot learning at the appropriately named Improbable AI Lab at MIT, had an answer when I reached him there last month. “To have robots which work like humans,” he said, “I think we have to master physics.” He wasn’t referring to cosmic matters like general relativity or quantum gravity, nor to the virtual “world models” that currently excite leading AI researchers such as Yann LeCun. Instead, Agrawal is talking about mastering something a high school science student ought to be familiar with: force and inertia. Press images of the Neo from 1X (left) and Tesla’s Optimus (right) imagine a future of humanoid helpers. Courtesy of 1X; Tesla The whole point of the humanoid form factor, after all, is to deliver what Kim calls “multipurpose mobile manipulation,” or the ability to move almost anywhere (including on stairs and through doors) and handle almost anything (from unloading pallets to screwing in light bulbs), without hurting anyone in the process. In short, what we do every day. “These things are about [controlling] forces, if you want to do them at speeds of a human,” Agrawal said. “Force control has been a thing in classical [robotics]. But in modern machine learning land, it’s not been that widespread.” Force control is simple in principle. Picture a robot arm drawing on a whiteboard — without smashing the tip of the marker. Roboticists have known how to make this happen for more than 40 years: They program the arm to behave as if it has an imaginary spring and shock absorber attached to it. “One can make the spring really soft in the direction pointing into the whiteboard, and stiffer along the surface of the whiteboard,” Kuindersma said. “That way the robot maintains the right pressure with the marker while precisely writing the lines and curves of the letters.” This feedback can be driven by force sensors built into the robot’s joints, but the catch is that the classical approaches require a lot of knowledge about the robot, environment, and task in order to work, he further explained. That approach to controlling force works great for industrial robots with specific tasks to perform, and it even helped with humanoid locomotion. But it was impossible to generalize. Kim’s proprioceptive electric actuators, also called quasi-direct drive actuators, simplified things. Not only were they designed to absorb unexpected impacts without damage, they were also very “transparent,” which meant that the motor converted electrical current into a proportional amount of force (and vice versa) with relatively little error. In essence, the motor itself became a force sensor, which meant “you can remove cost and complexity from your robot by eliminating dedicated force sensors,” Kuindersma said. As reinforcement learning eclipsed manual programming as a way of controlling humanoid movement, “classic” force control was not forgotten. It just got abstracted and delegated, in a way, to both hardware and AI. “From an AI point of view, it’s not like you have to be thinking about force control,” Hurst said. “It’s more like you kind of know that you need a quasi-direct drive motor to get close [to the force regulation necessary], then put [the neural network] in simulation and iterate a million times — and then you can put it on the robot and get cool behaviors.” Those neural networks are learning generalized policies that control the positions of a robot’s body parts. Force regulation often happens only indirectly in simulation training, or sometimes as a side effect when learned from video or human input. But those methods don’t explicitly teach the physics of force — at least, not yet. “A lot of the signals that are required for doing intelligent force control are not present in [video and human demonstration] data,” Kuindersma said. DeepMind’s Parada acknowledged that the VLA models basically just learn to move between specifically defined poses — and this approach goes a long way. “We’ve been surprised ourselves at how far you can push it, without any other sensing,” she said. In 2015, the most advanced humanoid robots in the world competed at the DARPA Robotics Challenge Finals. The tech has since improved. DARPA But only so far. As long as robot bodies remain relatively stiff and heavy compared to ours, “they have high inertia, and they’re not [as] compliant,” Agrawal said, which means that without force control, they will struggle with precision tasks in complicated environments. “If you’re going to touch delicate objects and you have small errors, bad things are going to happen.” Picture a regular egg and another made of solid steel: One of them needs to be picked up much more carefully. One way to get around this problem, used by many impressive systems alongside positional accuracy, is just to go slow. Imagine trying to move a chair with your car, Agrawal said: “If I go slowly, I can be precise on how I move [my position], and then I can control where the chair goes, so the [force] problem goes away.” That’s part of why Atlas moves like molasses while grasping auto parts but glides like a gymnast when it’s not touching anything except the floor. “It would be an overstatement to say that force control is absolutely required in every useful manipulation task — that’s just not true,” Kuindersma said. But he, Hurst, and Parada all readily grant that clever force workarounds won’t deliver the all-purpose mobile dexterity our robot butlers need. Even if today’s VLA-brained bots, refined by reinforcement learning, had “an internet-sized” amount of positional data to train on, “it’s very likely you [would] have to do some additional work,” Parada said. “Humans feel the forces that are working against you when you’re trying to open a bottle.” Humanoids, for the most part, still don’t, which means they have not mastered physics — at least not in the way we have, from a lifetime of interacting with our environments through the extraordinarily complex musculoskeletal and nervous systems gifted to us by evolution. That’s a big reason why even doors and stairs aren’t fully “solved” for present-day humanoids. These stairs, that door? Probably. But all stairs and doors, plus everything else? “There’s no world in which there are actually useful, autonomous [humanoid] robots that are only doing position-based control,” Kuindersma said. “Force as a first-class citizen is absolutely required.” So how do we get over the wall, scientifically speaking? Most of the experts I asked suspect that it will take a new blend of hardware and software advances. Tactile sensors for better data collection and robot hands that combine high power, compliance, and transparency with low inertia would accomplish a lot, and nobody believes that true material breakthroughs (like replacing motors with artificial muscles) will be necessary. “The hardware is exceptional, and if you’re blaming [it], you’re making excuses,” said Russ Tedrake, another longtime MIT roboticist I spoke to. “If you put a human brain through the hardware we have today — by teleoperating it, for instance — it’s incredibly capable.” Finding more intelligent ways to control it is key. The Digit robot from Agility Robotics demonstrates fine motor control in an unstructured environment. Agility Robotics When asked how to achieve that, everyone had a different answer. Agrawal is studying how to combine force control with reinforcement learning by having humanoids learn compliant behaviors in simulation, instead of moving between rigidly defined positions. Tedrake, whose work on “large behavior models” (a cousin of VLAs) produced the apple-coring robot demo, recently argued in Science Robotics for a ChatGPT-style regime of “large-scale data collection and large pretrained models.” Frank Park, who wrote the book on modern robotics — literally, the textbook titled Modern Robotics — believes that current AI approaches should be torn down to the studs and replaced with ones that make physics fundamentals (such as force and acceleration) learnable at a foundational level. “The VLA architecture is just all wrong,” he told me. “I believe that approach is doomed to fail.” In all these conversations, what struck me most wasn’t the debates about which kinds of sensors, data, or AI architecture could “solve” humanoid robotics. Rather, it was the sense that the scientific ethos of the field had changed. Hurst, who had just spun Agility Robotics out of his Oregon State University lab when we first spoke, put a fine point on it. “I remember Gill Pratt, who was the director of the MIT Leg Lab and then the program manager for the DARPA Robotics Challenge, saying that his big worry was that we’d end up using reinforcement learning and AI to make robots walk and run before we ever actually understood how it works,” he said. “And in a lot of ways, we’re kind of doing that.” (Editor’s note: Gill Pratt recalled this conversation differently. He acknowledged that machine learning could allow performance beyond our formal understanding, but not that this was a cause for worry.) Tedrake agreed but said that it’s hardly the first time we’ve taken scientific and engineering leaps without a firm grip on the fundamentals. “If you look at electricity and magnetism, there was the Volta stage where you’re sticking electrodes in frogs,” he said. “And then we had Faraday, who did exactly the right experiments, and then eventually we had Maxwell tell us the governing equations. I think we’re in the Volta stage.” So when will humanoids be solved? “Robots are still bad, and it will take time. But the bones are good. Both are true,” Tedrake said. “And it’s still hard.” Contributing Writer March 13, 2026 Get Quanta Magazine delivered to your inbox Get highlights of the most important news delivered to your email inbox Quanta Magazine moderates comments to facilitate an informed, substantive, civil conversation. Abusive, profane, self-promotional, misleading, incoherent or off-topic comments will be rejected. 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| Hyundai-backed humanoid robots to transform welding in shipyards | https://interestingengineering.com/ai-r… | 1 | Apr 16, 2026 00:00 | active | |
Hyundai-backed humanoid robots to transform welding in shipyardsURL: https://interestingengineering.com/ai-robotics/hyundai-persona-humanoid-robot-welding-shipyard Description: Hyundai partners Persona AI to develop humanoid welding robots, advancing automation across global shipyard operations Content:
From daily news and career tips to monthly insights on AI, sustainability, software, and more—pick what matters and get it in your inbox. Access expert insights, exclusive content, and a deeper dive into engineering and innovation all with fewer ads or a completely ad-free experience. All Rights Reserved, IE Media, Inc. Follow Us On Access expert insights, exclusive content, and a deeper dive into engineering and innovation all with fewer ads or a completely ad-free experience. All Rights Reserved, IE Media, Inc. The partnership targets robots for welding, mobility and precision tasks, with phased rollout across shipyard operations. Hyundai has partnered with US-based robotics firm Persona AI to develop and commercialize humanoid welding humanoids for shipyards. A joint development agreement was signed by HD Hyundai with HD Korea Shipbuilding & Offshore Engineering, HD Hyundai Robotics, and Persona AI. Under the agreement, HD KSOE will develop welding training systems using shipyard data, while HD Hyundai Robotics will handle integration. Persona AI will design a bipedal humanoid platform, with phased deployment planned across shipbuilding sites. The deal builds on a May 2025 partnership after successful prototype evaluations, which aimed to develop humanoid robots capable of performing advanced welding tasks in shipyards. Growing labor shortages in heavy industry, particularly in high-risk tasks such as welding, are increasing the urgency for rugged, autonomous humanoid robots. Aiding such a transition, HD Hyundai announced a joint development agreement on March 23, and the signing ceremony took place at the HD Hyundai Global R&D Center in South Korea, marking a step forward in efforts to automate complex shipbuilding processes. An earlier agreement was set in May 2025, following which successful evaluations of a humanoid prototype’s technical feasibility and real-world applicability were conducted. Under the deal, HD Korea Shipbuilding & Offshore Engineering will develop artificial intelligence-based welding training systems using data collected from shipyard operations and integrate them into production workflows. HD Hyundai Robotics will oversee system integration, including quality analysis, control technologies, and field testing. Persona AI will focus on developing a bipedal humanoid platform capable of stable movement in challenging shipyard environments, reports The Korea Times. The collaboration aims to produce robots capable of performing high-skill tasks such as welding, mobility, perception, and precision control, with gradual deployment planned across shipyard operations. A prototype is targeted for completion by late 2026, followed by field testing and commercial deployment in 2027. The collaboration represents a significant step toward building smart shipyards where humans and robots operate side by side. Robotics player Persona sees the partnership with HD Hyundai and its affiliates as a significant step beyond a symbolic collaboration, noting that shipyards are among the largest real-world testing environments for deploying and validating durable humanoid robotic systems. Persona is positioning humanoid robots as a solution to skilled labor shortages in demanding industrial sectors. Its systems are designed for high-intensity environments and focus on “3D” tasks—dull, dirty, and dangerous—commonly found in shipyards, construction, and energy infrastructure, reducing the physical strain on human workers. The company highlights a technological foundation influenced by advanced robotics developed through NASA, combining this legacy with practical engineering aimed at real-world deployment. Central to its approach is a modular humanoid platform equipped with a highly dexterous robotic hand derived from NASA-linked intellectual property, enabling precise work in complex, unstructured settings. The platform uses interchangeable “Personas” that allow it to adapt across industries and tasks. In shipbuilding, the robots are designed for confined-space operations, hull welding and repair work, where workforce attrition in key trades can exceed 30 percent. In the energy sector, they support pipe welding, inspection, and maintenance as aging labor pools and automation reshape operations. The company aims to deliver scalable, reliable labor through continuous operation, improved efficiency, and reduced rework, advancing automation in heavy industry. Jijo is an automotive and business journalist based in India. Armed with a BA in History (Honors) from St. Stephen's College, Delhi University, and a PG diploma in Journalism from the Indian Institute of Mass Communication, Delhi, he has worked for news agencies, national newspapers, and automotive magazines. In his spare time, he likes to go off-roading, engage in political discourse, travel, and teach languages. Exclusive content, expert insights and a deeper dive into engineering and tech. No ads, no limits. Exclusive content, expert insights and a deeper dive into engineering and tech. No ads, no limits. Premium Follow
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| ИИ-модели Google Gemini найдут физическое воплощение в роботах Agile Robots | https://3dnews.ru/1138864/iimodeli-goog… | 1 | Apr 15, 2026 16:00 | active | |
ИИ-модели Google Gemini найдут физическое воплощение в роботах Agile RobotsDescription: Компания Google заключила партнёрское соглашение с немецкой компанией Agile Robots — поисковый гигант решил сделать ставку на робототехнику как ключевой инструмент развития по направлению искусственного интеллекта.. Content:
Компания Google заключила партнёрское соглашение с немецкой компанией Agile Robots — поисковый гигант решил сделать ставку на робототехнику как ключевой инструмент развития по направлению искусственного интеллекта. Источник изображения: agile-robots.com Agile Robots специализируется на разработке интеллектуальных роботизированных манипуляторов и оснащённых сенсорами человекоподобных роботов. В рамках сотрудничества в оборудование немецкой компании будут интегрироваться ИИ-модели Google Gemini Robotics. «Партнёрство основывается на убеждении, что применение ИИ в физическом мире должно трансформироваться. Объединив оборудование Agile Robots и другие разрабатываемые в Германии решения в области робототехники с базовыми моделями Google DeepMind Gemini Robotics, обе стороны добьются успеха за счёт развёртывания роботов, сбора данных, обучения моделей и поэтапного совершенствования», — говорится в блоге компании. Google будет получать данные о работе своих продуктов в реальном мире — для технологического гиганта робототехника выступает одним из важнейших сценариев применения ИИ, где она конкурирует с Amazon и Tesla. У компании множество партнёрских соглашений по этому направлению. Мюнхенская Agile Robots к настоящему моменту развернула более 20 000 роботизированных систем по всему миру; решения Google она намеревается масштабно интегрировать в уже действующие системы. На начальном этапе это будут «высокоценные промышленные» сценарии, в том числе в производстве. Компания поможет Google и далее разрабатывать «более совершенные модели ИИ для роботов нового поколения». В прошлом году Google выпустила базовую и рассуждающую ИИ-модели Gemini Robotics и объявила о сотрудничестве с техасской Apptronik; в этом году стало известно, что подразделение Google DeepMind будет сотрудничать с Boston Dynamics в работе над роботом Atlas. Под управление Google была переведена входившая в холдинг Alphabet компания Intrinsic, которой прочат судьбу «Android в робототехнике»; в DeepMind также приняли на работу бывшего технического директора Boston Dynamics Аарона Сондерса (Aaron Saunders). Впрочем, некоторые сотрудники Google не вполне довольны сотрудничеством поискового гиганта с Boston Dynamics — у компании есть действующие контракты с Министерством обороны США. Источник: Укажите имя пользователя: и пароль: Войти © 1997—2026 Электронное периодическое издание "3ДНьюс" | Свидетельство о регистрации СМИ Эл ФС 77-22224 выдано Федеральной Службой по надзору за соблюдением законодательства в сфере массовых коммуникаций и охране культурного наследия При цитировании документа ссылка на сайт с указанием автора обязательна. Полное заимствование документа является нарушениемроссийского и международного законодательства и возможно только с согласия редакции 3DNews. Во время посещения сайта вы соглашаетесь с использованием нами файлов cookie, метрических программ, Пользовательским соглашением и даёте согласие на обработку и трансграничную передачу персональных данных.
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| Humanoid robots can now download and learn new skills through … | https://interestingengineering.com/ai-r… | 1 | Apr 15, 2026 16:00 | active | |
Humanoid robots can now download and learn new skills through appsURL: https://interestingengineering.com/ai-robotics/openmind-robot-app-store Description: OpenMind launches a robot app store enabling humanoids and quadrupeds to gain new skills via apps. Content:
From daily news and career tips to monthly insights on AI, sustainability, software, and more—pick what matters and get it in your inbox. Access expert insights, exclusive content, and a deeper dive into engineering and innovation all with fewer ads or a completely ad-free experience. All Rights Reserved, IE Media, Inc. Follow Us On Access expert insights, exclusive content, and a deeper dive into engineering and innovation all with fewer ads or a completely ad-free experience. All Rights Reserved, IE Media, Inc. OpenMind’s new robot app store allows humanoid and quadruped robots to expand their skills through apps. OpenMind, a robotics software company, has launched a new robot app store designed to let humanoid and quadruped robots gain new skills and abilities. The platform is live now and aims to eventually host thousands of apps that can expand the capabilities of robots beyond their built-in hardware. According to a Forbes report, the app store is built on OM1, OpenMind’s modular operating system, which allows developers to create apps that package specific skills for distribution across multiple robot platforms. OpenMind is working with partners including UBbtech, Agibot, Deep Robotics, Fourier, Booster, Dobot, LimX, and Magic Lab. “Computers and phones come with an operating system to provide the basics, but the real magic is the ability for everyone to personalize their phones and computers through apps and programs,” said Jan Liphardt, founder and CEO of OpenMind. “That’s how generic hardware comes to life and becomes your phone and your laptop. Your humanoid will be no different: thousands of apps, each representing skills from nursing and math education to cleaning and home safety, will give you almost unlimited choices.” Current apps cover a range of practical and experimental functions, from companionship, elder care, and home security to novelty apps like selfie-taking robots. The company expects the quality and complexity of apps to grow over time, similar to the early days of smartphone app stores. The platform emphasizes that software can evolve independently of hardware, enabling robots to learn new tasks and improve over time. Liphardt said, “Robots need a skill and cognition layer that evolves faster than hardware. The App Store is how robots become universal platforms whose skills can change over time to fit your needs.” OpenMind’s initial app catalog includes Omni-Guardian, which turns a robot into a companion and sentry capable of detecting intruders; Nova, which listens, sees, and moves to assist with daily tasks; WALL-E, which monitors digital assets and social feeds; Luckandroll OM1, enabling robots to interact with humans and coordinate with other robots; and Guardian, which can follow a user and take selfies. While some apps are experimental or low-effort, the approach mirrors the early days of iOS and Android app stores, where quirky and test apps dominated before the ecosystem matured. Liphardt notes that practical apps, such as floor cleaning or laundry assistance, will appear as robotics capabilities advance. The OpenMind developer ecosystem already includes over 1,000 developers worldwide and is open to additional developers and robot manufacturers. The company expects the store to expand rapidly as more apps and partners join, providing a growing library of skills for commercial and personal robots. By creating a software-focused platform, OpenMind is pushing the robotics industry toward modularity, flexibility, and user-driven innovation. This launch represents a significant step toward turning robots into universal, upgradable machines capable of performing diverse tasks in homes and workplaces. With over a decade-long career in journalism, Neetika Walter has worked with The Economic Times, ANI, and Hindustan Times, covering politics, business, technology, and the clean energy sector. Passionate about contemporary culture, books, poetry, and storytelling, she brings depth and insight to her writing. When she isn’t chasing stories, she’s likely lost in a book or enjoying the company of her dogs. Exclusive content, expert insights and a deeper dive into engineering and tech. No ads, no limits. Exclusive content, expert insights and a deeper dive into engineering and tech. No ads, no limits. Premium Follow
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| ИИ-модели Google Gemini найдут физическое воплощение в роботах Agile Robots … | https://pcnews.ru/news/ii_modeli_google… | 1 | Apr 15, 2026 16:00 | active | |
ИИ-модели Google Gemini найдут физическое воплощение в роботах Agile Robots - PCNEWS.RUDescription: Все компьютерные новости на PCNews.ru. Вся новая информация, о компьютерах и информационных технологиях. Синдикация новостей, статей, пресс-релизов со всех сайтов компьютерной (ИТ или IT) тематики. Content:
Компания Google заключила партнёрское соглашение с немецкой компанией Agile Robots — поисковый гигант решил сделать ставку на робототехнику как ключевой инструмент развития по направлению искусственного интеллекта. Источник изображения: agile-robots.com Agile Robots специализируется на разработке интеллектуальных роботизированных манипуляторов и оснащённых сенсорами человекоподобных роботов. В рамках сотрудничества в оборудование немецкой компании будут интегрироваться ИИ-модели Google Gemini Robotics. «Партнёрство основывается на убеждении, что применение ИИ в физическом мире должно трансформироваться. Объединив оборудование Agile Robots и другие разрабатываемые в Германии решения в области робототехники с базовыми моделями Google DeepMind Gemini Robotics, обе стороны добьются успеха за счёт развёртывания роботов, сбора данных, обучения моделей и поэтапного совершенствования», — говорится в блоге компании. Google будет получать данные о работе своих продуктов в реальном мире — для технологического гиганта робототехника выступает одним из важнейших сценариев применения ИИ, где она конкурирует с Amazon и Tesla. У компании множество партнёрских соглашений по этому направлению. Мюнхенская Agile Robots к настоящему моменту развернула более 20 000 роботизированных систем по всему миру; решения Google она намеревается масштабно интегрировать в уже действующие системы. На начальном этапе это будут «высокоценные промышленные» сценарии, в том числе в производстве. Компания поможет Google и далее разрабатывать «более совершенные модели ИИ для роботов нового поколения». В прошлом году Google выпустила базовую и рассуждающую ИИ-модели Gemini Robotics и объявила о сотрудничестве с техасской Apptronik; в этом году стало известно, что подразделение Google DeepMind будет сотрудничать с Boston Dynamics в работе над роботом Atlas. Под управление Google была переведена входившая в холдинг Alphabet компания Intrinsic, которой прочат судьбу «Android в робототехнике»; в DeepMind также приняли на работу бывшего технического директора Boston Dynamics Аарона Сондерса (Aaron Saunders). Впрочем, некоторые сотрудники Google не вполне довольны сотрудничеством поискового гиганта с Boston Dynamics — у компании есть действующие контракты с Министерством обороны США. © 3DNews
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| Robot Talk Episode 134 – Robotics as a hobby, with … | https://robohub.org/robot-talk-episode-… | 1 | Apr 15, 2026 00:00 | active | |
Robot Talk Episode 134 – Robotics as a hobby, with Kevin McAleer - RobohubURL: https://robohub.org/robot-talk-episode-134-robotics-as-a-hobby-with-kevin-mcaleer/ Content:
Claire chatted to Kevin McAleer from kevsrobots about how to get started building robots at home. Kevin McAleer is a hobbyist robotics fanatic who likes to build robots, share videos about them on YouTube and teach people how to do the same. Kev has been building robots since 2019, when he got his first 3d printer and wanted to make more interesting builds. Kev has a degree in Computer Science, and because his day job is relatively hands-off, this hobby allows his creativity to have an outlet. Kev is a huge fan of Python and Micropython for embedded devices, and has a website – kevsrobots.com where you can learn more about how to get started in robotics.
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| The gig workers who are training humanoid robots at home … | https://www.technologyreview.com/2026/0… | 1 | Apr 14, 2026 16:00 | active | |
The gig workers who are training humanoid robots at home | MIT Technology ReviewDescription: People in Nigeria and India are strapping iPhones onto their heads and recording themselves doing chores. Content:
People in Nigeria and India are strapping iPhones onto their heads and recording themselves doing chores. When Zeus, a medical student living in a hilltop city in central Nigeria, returns to his studio apartment from a long day at the hospital, he turns on his ring light, straps his iPhone to his forehead, and starts recording himself. He raises his hands in front of him like a sleepwalker and puts a sheet on his bed. He moves slowly and carefully to make sure his hands stay within the camera frame. Zeus is a data recorder for Micro1, a US company based in Palo Alto, California that collects real-world data to sell to robotics companies. As companies like Tesla, Figure AI, and Agility Robotics race to build humanoids—robots designed to resemble and move like humans in factories and homes—videos recorded by gig workers like Zeus are becoming the hottest new way to train them. Micro1 has hired thousands of contract workers in more than 50 countries, including India, Nigeria, and Argentina, where swathes of tech-savvy young people are looking for jobs. They’re mounting iPhones on their heads and recording themselves folding laundry, washing dishes, and cooking. The job pays well by local standards and is boosting local economies, but it raises thorny questions around privacy and informed consent. And the work can be challenging at times—and weird. Zeus found the job in November, when people started talking about it everywhere on LinkedIn and YouTube. “This would be a real nice opportunity to set a mark and give data that will be used to train robots in the future,” he thought. Zeus is paid $15 an hour, which is good income in Nigeria’s strained economy with high unemployment rates. But as a bright-eyed student dreaming of becoming a doctor, he finds ironing his clothes for hours every day boring. “I really [do] not like it so much,” he says. “I’m the kind of person that requires … a technical job that requires me to think.” Zeus, and all the workers interviewed by MIT Technology Review, asked to be referred to only by pseudonyms because they were not authorized to talk about their work. Humanoid robots are notoriously hard to build because manipulating physical objects is a difficult skill to master. But the rise of large language models underlying chatbots like ChatGPT has inspired a paradigm shift in robotics. Just as large language models learned to generate words by being trained on vast troves of text scraped from the internet, many researchers believe that humanoid robots can learn to interact with the world by being trained on massive amounts of movement data. Editor’s note: In a recent poll, MIT Technology Review readers selected humanoid robots as the 11th breakthrough for our 2026 list of 10 Breakthrough Technologies. Robotics requires far more complex data about the physical world, though, and that is much harder to find. Virtual simulations can train robots to perform acrobatics, but not how to grasp and move objects, because simulations struggle to model physics with perfect accuracy. For robots to work in factories and serve as housekeepers, real-world data, however time-consuming and expensive to collect, may be what we need. Investors are pouring money feverishly into solving this challenge, spending over $6 billion on humanoid robots in 2025. At-home data recording is becoming a booming gig economy around the world. Data companies like Scale AI and Encord are recruiting their own armies of data recorders, while DoorDash pays delivery drivers to film themselves doing chores. In China, workers in dozens of state-owned robot training centers wear virtual-reality headsets and exoskeletons to teach humanoid robots how to open a microwave and wipe down the table. “There is a lot of demand, and it’s increasing really fast,” says Ali Ansari, CEO of Micro1. He estimates that robotics companies are now spending more than $100 million each year to buy real-world data from his company and others like it. Workers at Micro1 are vetted by an AI agent named Zara that conducts interviews and reviews samples of chore videos. Every week, they submit videos of themselves doing chores around their homes, following a list of instructions about things like keeping their hands visible and moving at natural speed. The videos are reviewed by both AI and a human and are either accepted or rejected. They’re then annotated by AI and a team of hundreds of humans who label the actions in the footage. “There is a lot of demand, and it’s increasing really fast.” Because this approach to training robots is in its infancy, it’s not clear yet what makes good training data. Still, “you need to give lots and lots of variations for the robot to generalize well for basic navigation and manipulation of the world,” says Ansari. But many workers say that creating a variety of “chore content” in their tiny homes is a challenge. Zeus, a scrappy student living in a humble studio, struggles to record anything beyond ironing his clothes every day. Arjun, a tutor in Delhi, India, takes an hour to make a 15-minute video because he spends so much time brainstorming new chores. “How much content [can be made] in the home? How much content?” he says. There’s also the sticky question of privacy. Micro1 asks workers not to show their faces to the camera or reveal personal information such as names, phone numbers, and birth dates. Then it uses AI and human reviewers to remove anything that slips through. But even without faces, the videos capture an intimate slice of workers’ lives: the interiors of their homes, their possessions, their routines. And understanding what kind of personal information they might be recording while they’re busy doing chores on camera can be tricky. Reviews of such footage might not filter out sensitive information beyond the most obvious identifiers. For workers with families, keeping private life off camera is a constant negotiation. Arjun, a father of two daughters, has to wrangle his chaotic two-year-old out of frame. “Sometimes it’s very difficult to work because my daughter is small,” he says. Sasha, a banker turned data recorder in Nigeria, tiptoes around when she hangs her laundry outside in a shared residential compound so she won’t record her neighbors, who watch her in bewilderment. “It’s going to take longer than people think.” While the workers interviewed by MIT Technology Review understand that their data is being used to train robots, none of them know how exactly their data will be used, stored, and shared with third parties, including the robotics companies that Micro1 is selling the data to. For confidentiality reasons, says Ansari, Micro1 doesn’t name its clients or disclose to workers the specific nature of the projects they are contributing to. “It is important that if workers are engaging in this, that they are informed by the companies themselves of the intention … where this kind of technology might go and how that might affect them longer term,” says Yasmine Kotturi, a professor of human-centered computing at the University of Maryland, Baltimore County. Occasionally, some workers say, they’ve seen other workers asking on the company Slack channel if the company could delete their data. Micro1 declined to comment on whether such data is deleted. “People are opting into doing this,” says Ansari. “They could stop the work at any time.” With thousands of workers doing their chores differently in different homes, some roboticists wonder if the data collected from them is reliable enough to train robots safely. “How we conduct our lives in our homes is not always right from a safety point of view,” says Aaron Prather, a roboticist at ASTM International. “If those folks are teaching those bad habits that could lead to an incident, then that’s not good data.” And the sheer volume of data being collected makes reviewing it for quality control challenging. But Ansari says the company rejects videos showing unsafe ways of performing a task, while clumsy movements can be useful to teach robots what not to do. Then there’s the question of how much of this data we need. Micro1 says it has tens of thousands of hours of footage, while Scale AI announced it had gathered more than 100,000 hours. “It’s going to take a long time to get there,” says Ken Goldberg, a roboticist at the University of California, Berkeley. Large language models were trained on text and images that would take a human 100,000 years to read, and humanoid robots may need even more data, because controlling robotic joints is even more complicated than generating text. “It’s going to take longer than people think,” he says. When Dattu, an engineering student living in a bustling tech hub in India, comes home after a full day of classes at his university, he skips dinner and dashes to his tiny balcony, cramped with potted plants and dumbbells. He straps his iPhone to his forehead and records himself folding the same set of clothes over and over again. His family stares at him quizzically. “It’s like some space technology for them,” he says. When he tells his friends about his job, “they just get astounded by the idea that they can get paid by recording chores.” Juggling his university studies with data recording, as well as other data annotation gigs, takes a toll on him. Still, “it feels like you’re doing something different than the whole world,” he says. An exclusive conversation with OpenAI’s chief scientist, Jakub Pachocki, about his firm's new grand challenge and the future of AI. Exclusive: Niantic's AI spinout is training a new world model using 30 billion images of urban landmarks crowdsourced from players. Axiom Math is giving away a powerful new AI tool. But it remains to be seen if it speeds up research as much as the company hopes. One-off tests don’t measure AI’s true impact. We’re better off shifting to more human-centered, context-specific methods. Discover special offers, top stories, upcoming events, and more. Thank you for submitting your email! It looks like something went wrong. We’re having trouble saving your preferences. Try refreshing this page and updating them one more time. If you continue to get this message, reach out to us at customer-service@technologyreview.com with a list of newsletters you’d like to receive. © 2026 MIT Technology Review
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| Google partners with Agile Robots, growing its AI robotics footprint | https://www.cnbc.com/2026/03/24/google-… | 1 | Apr 14, 2026 08:00 | active | |
Google partners with Agile Robots, growing its AI robotics footprintURL: https://www.cnbc.com/2026/03/24/google-agile-robots-ai-robotics.html Description: Google's DeepMind division has been partnering with more robotics companies in recent months. Content:
In this article Google is adding another robotics partnership to its belt as it leans into robotics as a key bet for artificial intelligence. Agile Robots develops intelligent, sensor-based robotic arms and humanoid robots. The company announced a partnership with Google DeepMind to integrate its Gemini Robotics foundation models with Agile Robots’ hardware. "The partnership is built on a belief that applying AI in the physical world will be transformative," the Tuesday blog post states. "By bringing together Agile Robots' hardware and other AI robotic solutions developed in Germany, with Google DeepMind's Gemini Robotics foundation models, the two teams will improve performance via robot deployment, data collection, model training and iteration." The new partnership means Google will get real-world deployment data as it sees robotics as one of the large use cases for AI, competing against companies like Amazon and Tesla. It also shows the company is making several robotics partnerships as it leans into manufacturing as key use case. Munich-based Agile Robots already has more than 20,000 deployed robotic systems globally and it will integrate Google's tech in existing industrial robots at scale, the blog post says. The partnership will first focus on "high-value industrial" use cases such as manufacturing tasks. "This research partnership is an important step in bringing the impact of AI to the real world," said Carolina Parada, Senior Director and Head of Robotics, Google DeepMind, in Tuesday's blog post. She added that Agile Robots will help Google develop "more advanced AI models for the next generation of robots." In mid-2025, Google debuted two new AI models, Gemini Robotics and Gemini Robotics-ER (extended reasoning), bringing generative AI into physical action commands to control robots. Google said in a blog post at the time that it would partner with Apptronik, a Texas-based robotics developer, to "build the next generation of humanoid robots with Gemini 2.0." In January, Google's DeepMind said it would work with Hyundai's Boston Dynamics, formerly a division of Google, to develop new AI models for its Atlas robot. Last month, Google DeepMind announced that Intrinsic, a robotics software company, will be moved from the "Other Bets" category into the main company with hopes of being "The Android of robotics." The company said it will focus on the manufacturing industry and work with Google's Gemini and infrastructure teams, including potentially helping it with building out Google's own data centers. An early sign that the company was getting serious about robotics was in its hiring of key talent last year. In November, Google's DeepMind unit hired the former CTO of Boston Dynamics Aaron Saunders. However, Google's increased attention to robotics has also brought along internal skepticism. Boston Dynamics, for example, has long-standing contracts with the Defense Department, and some DeepMind employees reportedly brought up concern at an all-hands meeting earlier this year, according to Business Insider. It's not just a trend at Google. Robotics is surfacing as a key use case for AI across the tech industry. In February, Bedrock Robotics, an autonomous vehicle technology startup for construction machinery founded by veterans of Waymo and Segment, raised $270 million in a new fundraising round, valuing the two-year-old start-up at $1.75 billion. The round was led by Alphabet's investment arm CapitalG, Valor Atreides A.I. Fund; Nvidia's venture arm and previous backer 8VC. Got a confidential news tip? We want to hear from you. Sign up for free newsletters and get more CNBC delivered to your inbox Get this delivered to your inbox, and more info about our products and services. © 2026 Versant Media, LLC. All Rights Reserved. A Versant Media Company. Data is a real-time snapshot *Data is delayed at least 15 minutes. Global Business and Financial News, Stock Quotes, and Market Data and Analysis. Data also provided by
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| AI-Powered Robots Begin Real Battlefield Testing - Gizmochina | https://www.gizmochina.com/2026/03/26/h… | 1 | Apr 14, 2026 08:00 | active | |
AI-Powered Robots Begin Real Battlefield Testing - GizmochinaURL: https://www.gizmochina.com/2026/03/26/humanoid-military-robots-battlefield-ai-soldiers/ Description: Humanoid military robots like Phantom MK-1 are now being tested in real battlefields. Explore AI soldiers, tech, and future warfare trends. Content:
The use of AI-powered robots in warfare is no longer just an idea; it is becoming a reality. Modern battlefields are now being used to test advanced machines designed to reduce human risk and improve efficiency. These developments show how quickly robotics and artificial intelligence are moving from labs into real-world situations. One of the most advanced examples is the Phantom MK-1 humanoid robot. It is designed to move like a human and operate in difficult terrains where traditional machines struggle. The robot stands around 175 cm tall, weighs about 80 kg, and can carry up to 20 kg. It uses cameras and sensors to understand its surroundings and can move at speeds of up to 6 km/h. These robots are not fully independent. They are being tested to study mobility, performance, and how AI behaves under pressure. Military robots today use a mix of AI and human control. This is called a âhuman-in-the-loopâ system. AI helps with tasks like identifying objects, navigating terrain, and suggesting actions. However, humans still control critical decisions, especially when it comes to using weapons. Humanoid robots are only part of the story. Uncrewed Ground Vehicles (UGVs) are already widely used. In January 2026 alone, more than 7,000 missions were carried out using robots. These machines mainly handle logistics such as delivering supplies, evacuating injured soldiers, and scouting areas. Most robots are currently used for support tasks rather than direct combat. Despite rapid growth, there are still limitations. Robots face issues like limited battery life, high costs, and difficulty understanding complex situations. There are also concerns about hacking and misuse. Looking ahead, experts believe future warfare could involve large groups of connected robots working together across land, air, and sea. This shift is not just about warfare; it is a major step forward in robotics and AI. Machines are slowly moving from tools to active partners, shaping the future of technology. The Phantom MK-1 is built by a San Francisco-based startup called Foundation, founded by former military personnel and engineers focused on defense robotics. The company has already secured about $24 million in contracts with the US Army, Navy, and Air Force, making it an official defense partner. Beyond this robot, the global race for military robotics is accelerating; countries like the United States, China, Israel, and Russia are actively developing and deploying robotic systems. China has tested armed robot dogs in military drills, while the US has long used systems like PackBot and TALON in combat zones. Even countries like Estonia and Turkey are building advanced unmanned ground and aerial combat systems, showing that the future battlefield is rapidly becoming automated. Read More: (via)
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| Humanoid robot to power new robotics experiments at Durham University | https://interestingengineering.com/ai-r… | 1 | Apr 14, 2026 00:00 | active | |
Humanoid robot to power new robotics experiments at Durham UniversityURL: https://interestingengineering.com/ai-robotics/durham-university-debuts-humanoid-robot-ai-research Description: Durham University introduced a humanoid robot to support research in AI, robotics, autonomy, and human-robot interaction studies. Content:
From daily news and career tips to monthly insights on AI, sustainability, Aerospace, and more—pick what matters and get it in your inbox. Access expert insights, exclusive content, and a deeper dive into engineering and innovation. Engineering-inspired textiles, mugs, hats, and thoughtful gifts We connect top engineering talent with the world's most innovative companies. We empower professionals with advanced engineering and tech education to grow careers. We recognize outstanding achievements in engineering, innovation, and technology. All Rights Reserved, IE Media, Inc. Follow Us On Access expert insights, exclusive content, and a deeper dive into engineering and innovation. Engineering-inspired textiles, mugs, hats, and thoughtful gifts We connect top engineering talent with the world's most innovative companies We empower professionals with advanced engineering and tech education to grow careers. We recognize outstanding achievements in engineering, innovation, and technology. All Rights Reserved, IE Media, Inc. The robot will help researchers explore how intelligent systems can better understand and respond to the world around them. Durham University has introduced a new humanoid robot to support advanced research in artificial intelligence, robotics, and human-robot interaction, reflecting a growing trend of universities adopting humanoid platforms for real-world research and experimentation. The university announced this move via its official website on April 1. The robot, named Alan, is a Unitree G1 Edu humanoid that will be used by researchers and students as a shared research platform to explore how robots can operate alongside humans, perform complex tasks, and function autonomously in dynamic environments. The platform is designed specifically for education and research institutions, allowing universities to experiment with artificial intelligence and robotics software on a full humanoid system. Humanoid robots are particularly valuable in research because they are designed to operate in environments built for humans. This allows researchers to test robots in realistic settings, such as laboratories, offices, and public spaces, without specialized infrastructure. The Unitree G1 platform has been used in a variety of robotics research and demonstrations, showcasing capabilities such as autonomous walking, playing games, interacting with objects, and performing complex movement tasks. The Unitree G1 has 23 degrees of freedom and full-body mobility, enabling it to perform tasks that require balance, manipulation, and coordination. Alan will primarily serve as a shared research platform within Durham University’s Computer Science department, particularly supporting the work of the VIViD research group. Researchers plan to use the humanoid robot to study how robots can recognize people and objects, understand complex scenes, imitate human actions, and make decisions in everyday environments. The platform will enable researchers to explore how intelligent robotic systems perceive and interact with their environments. The robot may also support research in assistive robotics, an area focused on developing robots that can work safely and usefully alongside people in real-world settings. This includes exploring how robots could assist humans in daily activities while operating safely in shared environments. In addition to these areas, the Unitree G1 will contribute to broader research projects across the department. Research involving humanoid robots has expanded rapidly in recent years, with platforms like the Unitree G1 used in experiments spanning sports and motion learning to industrial automation and autonomous navigation. One of the next research areas is exploring how the robot can perform simple tasks and make real-time decisions without relying heavily on external computing support. This activity would allow the humanoid robot to operate more independently and function more effectively in real-world environments. As a physical research platform, the robot enables researchers to test ideas in a practical, controlled way rather than solely through simulations or software models. The Unitree G1 will also support the department’s ongoing work in artificial intelligence, robotics, and visual computing, while providing opportunities for collaboration across research groups and projects. Atharva is a full-time content writer with a post-graduate degree in media & amp; entertainment and a graduate degree in electronics & telecommunications. He has written in the sports and technology domains respectively. In his leisure time, Atharva loves learning about digital marketing and watching soccer matches. His main goal behind joining Interesting Engineering is to learn more about how the recent technological advancements are helping human beings on both societal and individual levels in their daily lives. Exclusive content, expert insights and a deeper dive into engineering and tech. No ads, no limits. Exclusive content, expert insights and a deeper dive into engineering and tech. No ads, no limits. Premium Follow
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| Humanoid Robots Are Coming Home: The New Era Begins with … | https://ourhaventech.com/humanoid-robot… | 0 | Apr 13, 2026 08:00 | active | |
Humanoid Robots Are Coming Home: The New Era Begins with Prices Starting at $20,000 (11.11.2025)Description: Humanoid Robots Are Coming Home: The New Era Begins with Prices Starting at $20,000 (11.11.2025) This week in the robotics world: From Figure 03’s revolutiona... Content: |
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| Learning Humanoid Loco-manipulation with Constraints as Terminations - Archive ouverte … | https://hal.science/hal-05553678v1 | 1 | Apr 12, 2026 08:00 | active | |
Learning Humanoid Loco-manipulation with Constraints as Terminations - Archive ouverte HALURL: https://hal.science/hal-05553678v1 Description: Deep Reinforcement Learning (RL) is now commonly used for controlling legged robots. Several recent studies have demonstrated impressive results in solving increasingly complex robotic tasks such as navigation in unstructured environments or loco-manipulation. However, this complexity often comes with intricate learning setups requiring tedious reward shaping and features to help convergence. In this work, we tackle these issues and achieve loco-manipulation with a humanoid robot using a RL algorithm that enforces constraints through stochastic terminations during policy learning. We keep the number of rewards low by reformulating them as constraints when they can be intuitively expressed that way. Moreover, we study the relevance of various learning features encountered in the literature and show that providing observations without noise or privileged information to the critic are two straightforward ways to boost locomotion performances on rough terrains. We also demonstrate that the proposed minimalist architecture is not limited to pure locomotion but extends to a loco-manipulation task involving upper limbs. Videos are available at humanoid-cat.github.io. Content:
Deep Reinforcement Learning (RL) is now commonly used for controlling legged robots. Several recent studies have demonstrated impressive results in solving increasingly complex robotic tasks such as navigation in unstructured environments or loco-manipulation. However, this complexity often comes with intricate learning setups requiring tedious reward shaping and features to help convergence. In this work, we tackle these issues and achieve loco-manipulation with a humanoid robot using a RL algorithm that enforces constraints through stochastic terminations during policy learning. We keep the number of rewards low by reformulating them as constraints when they can be intuitively expressed that way. Moreover, we study the relevance of various learning features encountered in the literature and show that providing observations without noise or privileged information to the critic are two straightforward ways to boost locomotion performances on rough terrains. We also demonstrate that the proposed minimalist architecture is not limited to pure locomotion but extends to a loco-manipulation task involving upper limbs. Videos are available at humanoid-cat.github.io. Connectez-vous pour contacter le contributeur https://hal.science/hal-05553678 Soumis le : lundi 16 mars 2026-08:47:28 Dernière modification le : mardi 17 mars 2026-03:18:45 Contact Ressources Informations Questions juridiques Portails CCSD
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| Want to make robots run faster? Try letting AI take … | https://www.theverge.com/2022/3/17/2298… | 1 | Apr 12, 2026 08:00 | active | |
Want to make robots run faster? Try letting AI take control | The VergeDescription: Researchers at MIT have used machine learning to help their four-legged robots run faster. AI uses trial and error to develop styles of locomotion that are unusual to look at but faster than those coded by humans. Content:
Posts from this topic will be added to your daily email digest and your homepage feed. See All Tech Posts from this topic will be added to your daily email digest and your homepage feed. See All AI Posts from this topic will be added to your daily email digest and your homepage feed. See All News AI can help develop methods of locomotion that are unconventional but fast AI can help develop methods of locomotion that are unconventional but fast Posts from this author will be added to your daily email digest and your homepage feed. See All by James Vincent Quadrupedal robots are becoming a familiar sight, but engineers are still working out the full capabilities of these machines. Now, a group of researchers from MIT says one way to improve their functionality might be to use AI to help teach the bots how to walk and run. Usually, when engineers are creating the software that controls the movement of legged robots, they write a set of rules about how the machine should respond to certain inputs. So, if a robot’s sensors detect x amount of force on leg y, it will respond by powering up motor a to exert torque b, and so on. Coding these parameters is complicated and time-consuming, but it gives researchers precise and predictable control over the robots. AI uses trial and error to develop its own style of running An alternative approach is to use machine learning — specifically, a method known as reinforcement learning that functions through trial and error. This works by giving your AI model a goal known as a “reward function” (e.g., move as fast as you can) and then letting it loose to work out how to achieve that outcome from scratch. This takes a long time, but it helps if you let the AI experiment in a virtual environment where you can speed up time. It’s why reinforcement learning, or RL, is a popular way to develop AI that plays video games. This is the technique that MIT’s engineers used, creating new software (known as a “controller”) for the university’s research quadruped, Mini Cheetah. Using reinforcement learning, they were able to achieve a new top-speed for the robot of 3.9m/s, or roughly 8.7mph. You can watch what that looks like in the video below: As you can see, Mini Cheetah’s new running gait is a little ungainly. In fact, it looks like a puppy scrabbling to accelerate on a wooden floor. But, according to MIT PhD student Gabriel Margolis (a co-author of the research along with postdoc fellow Ge Yang), this is because the AI isn’t optimizing for anything but speed. “RL finds one way to run fast, but given an underspecified reward function, it has no reason to prefer a gait that is ‘natural-looking’ or preferred by humans,” Margolis tells The Verge over email. He says the model could certainly be instructed to develop a more flowing form of locomotion, but the whole point of the endeavor is to optimize for speed alone. “Programming how a robot should act in every possible situation is simply very hard” Margolis and Yang say a big advantage of developing controller software using AI is that it’s less time-consuming than messing about with all the physics. “Programming how a robot should act in every possible situation is simply very hard. The process is tedious because if a robot were to fail on a particular terrain, a human engineer would need to identify the cause of failure and manually adapt the robot controller,” they say. By using a simulator, engineers can place the robot in any number of virtual environments — from solid pavement to slippery rubble — and let it work things out for itself. Indeed, the MIT group says its simulator was able to speed through 100 days’ worth of staggering, walking, and running in just three hours of real time. Some companies that develop legged robots are already using these sorts of methods to design new controllers. Others, though, like Boston Dynamics, apparently rely on more traditional approaches. (This makes sense given the company’s interest in developing very specific movements — like the jumps, vaults, and flips seen in its choreographed videos.) There are also faster-legged robots out there. Boston Dynamics’ Cheetah bot currently holds the record for a quadruped, reaching speeds of 28.3 mph — faster than Usain Bolt. However, not only is Cheetah a much bigger and more powerful machine than MIT’s Mini Cheetah, but it achieved its record running on a treadmill and mounted to a lever for stability. Without these advantages, maybe AI would give the machine a run for its money. Posts from this author will be added to your daily email digest and your homepage feed. See All by James Vincent Posts from this topic will be added to your daily email digest and your homepage feed. See All AI Posts from this topic will be added to your daily email digest and your homepage feed. See All News Posts from this topic will be added to your daily email digest and your homepage feed. See All Robot Posts from this topic will be added to your daily email digest and your homepage feed. See All Science Posts from this topic will be added to your daily email digest and your homepage feed. See All Tech A free daily digest of the news that matters most. This is the title for the native ad This is the title for the native ad © 2026 Vox Media, LLC. All Rights Reserved
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