Description: SoftBank Group will buy ABB's robotics business for $5.4 billion, aiming to integrate robotics with artificial intelligence. The move follows ABB's struggles in sales and profitability within the robots unit.
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SoftBank Group has agreed to acquire the robotics business of Swiss engineering group ABB for $5.4 billion, marking a major step in the Japanese investor's strategy to merge robotics and artificial intelligence (AI), which Founder and CEO Masayoshi Son calls “Physical AI.” This acquisition, announced on Wednesday, is the latest effort by CEO Son to establish Softbank as a core player in the development of artificial intelligence. Although SoftBank pushed into humanoid robotics a decade ago with its Pepper robot before scaling back, its recent investments in the sector include Berkshire Grey and AutoStore, alongside leading a $40 billion funding round in ChatGPT-maker OpenAI and $6.5 billion purchase of chip design company Ampere in March, news agency Reuters reported. The deal means ABB has abandoned its original decision to spin off and separately list its industrial automation business, which competes with Japan's Fanuc and Yaskawa, as well as Germany's Kuka, in the manufacturing of factory robots. The decision is the first major move under ABB CEO Morten Wierod, who took charge last year, following years of struggling sales and falling profitability within the robots unit. The robotics division, which employs 7,000 people and generated sales of $2.3 billion last year or 7% of ABB's total revenues — saw limited operational crossover with the rest of the company, which primarily focused on electrification and automation. ABB announced to shareholders in April its decision to spin off robotics but decided to sell instead because the SoftBank deal provided money immediately, Wierod told Reuters. The acquisition is expected to close in mid- to late-2026 and will generate cash proceeds of roughly $5.3 billion, ABB told Reuters. "We always said that robotics is a market with much higher volatility. And that's what we've seen over the years, both when it comes to growth, but also margins," Wierod said. “So it is a bit of a different market than, say, the rest of ABB today, which is focusing on electrification and automation.” ABB will spend the proceeds from the sale on developing new technology and production capacity in electrification and automation, and may also consider funding new acquisitions, Wierod said. "We do have firepower to also do bigger acquisitions, so we're not excluding bigger deals," he added. Catch all the Business News , Corporate news , Breaking News Events and Latest News Updates on Live Mint. Download The Mint News App to get Daily Market Updates. Download the Mint app and read premium stories Log in to our website to save your bookmarks. It'll just take a moment. Oops! Looks like you have exceeded the limit to bookmark the image. Remove some to bookmark this image.
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Softbank Takes Over ABB Robotics In A $5.4 Billion Deal …
Description: SoftBank Group (OTC: SFTBY) (OTC: SFTBF) said on Wednesday it will buy the robotics division of Swiss engineering firm ABB (OTC: ABBNY) in a $5.4 billion deal, as the Japanese firm looks to boost its artificial intelligence portfolio.
Description: SoftBank Robotics said it will start sales of its commercial flame-cooking robot, FLAMA, in Japan, with exclusive domestic sales handled by subsidiary Gourmet X.
Description: Food service robot startup Bear Robotics has raised $81 million (roughly Rs. 616 crore) in a Series B funding round with investors that include Cleveland Avenue...
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Softbank to merge with AI robotics company in which it …
Description: SoftBank Group Corp. plans to buy the remaining portion of AI and robotics developer Berkshire Grey Inc. that it doesn’t already own in a roughly $375...
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SoftBank-backed Bear Robotics raises $81 mln for waitering robot rollout
Description: SoftBank Group Corp-backed food service robot startup Bear Robotics has raised $81 million in a Series B funding round with investors that include Cleveland Ave...
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Canon Solutions America and SoftBank Robotics America Partner to Expand …
Description: MELVILLE, N.Y., June 9, 2021 /PRNewswire/ -- As part of its commitment to expanding its digital automation solutions and services, Canon Solutions...
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SoftBank Robotics поддерживает Matternet для расширения доставки дронами по всей …
Description: 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.
Description: /PRNewswire-PRWeb/ -- Three Sixty Seven Advisors is pleased to announce the successful transaction between Green Clean Commercial, a leading national provider...
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Searching for your content... Contact Us 11AM ET Sunday – 8PM ET Friday Mar 25, 2026, 11:15 ET Share this article Three Sixty Seven served as the exclusive advisor to SoftBank Robotics America for this transaction. TAMPA, Fla., March 25, 2026 /PRNewswire-PRWeb/ -- Three Sixty Seven Advisors is pleased to announce the successful transaction between Green Clean Commercial, a leading national provider of janitorial services, and SoftBank Robotics America. Three Sixty Seven served as the exclusive advisor to SoftBank Robotics America for this transaction. Brady Watkins, President at SoftBank Robotics America, stated: "This acquisition represents a significant strategic milestone for SoftBank Robotics America as we accelerate the integration of automation and robotics into the janitorial services sector. Establishing a strong operating platform was a critical first step in executing our long-term vision, and we were deliberate in selecting the right advisory partner to help us achieve that objective. We engaged Three Sixty Seven Advisors because of their recognized leadership within the middle-market facility services industry and their deep expertise in the commercial janitorial space. Their relationships, market insight, and disciplined execution were instrumental in identifying and securing the right platform for this initiative." Elliot Stipes, CEO at Green Clean Commercial, stated: "Smart Building X (SBX) represents an important strategic leap for the future of the company. The facility services industry is moving toward intelligent buildings, automation, and measurable outcomes. SBX allows us to deliver that future immediately, supported by advanced technology and aligned with a global innovation leader." Ryan Penna, Vice President at Three Sixty Seven, stated: "SoftBank Robotics America engaged Three Sixty Seven to identify and acquire a leading janitorial platform to anchor a transformative growth strategy; integrating SBRA's established automation and robotics capabilities into traditional facility services. This transaction represents a deliberate and forward-thinking move to redefine how technology and service delivery intersect within the industry. We are excited about the future of this partnership and look forward to seeing the meaningful growth, innovation, and industry impact this combination will generate. This transaction further reinforces Three Sixty Seven's role at the forefront of M&A across facility services." ABOUT SOFTBANK ROBOTICS AMERICA SoftBank Robotics America is the North American arm of SoftBank Robotics, driving technology forward by becoming a worldwide leader in robotics solutions. Headquartered in San Francisco, SoftBank Robotics America is a trusted partner and robot integrator that helps clients think beyond the technology, to incorporate the people and processes that solve the most pressing challenges and deliver best run operations. SoftBank Robotics America brings value and relevancy to senior living, hospitality, aviation, class A office space, multi-family, education, facilities management, and commercial cleaning. The goal is to develop a strong partnership and foundation for automation that will realize maximum strategic value on investment in robotics. ABOUT GREEN CLEAN COMMERCIAL Green Clean Commercial was founded in 2008, with the vision for transparency, trust in relationships, and successfully delivering results. Green Clean Commercial has consistently proven that people are at the heart of a great operation and when combined with innovative leading-edge technology, Green Clean Commercial makes it more efficient and effective. These winning principles have enabled GCC to expand nationally, serving public and private sectors including Fortune 500 and 100 clients ABOUT THREE SIXTY SEVEN ADVISORS Three Sixty Seven Advisors is a middle-market mergers and acquisitions advisory firm that leverages its industry experience and depth of relationships to assist their clients in helping realize the best outcome in every transaction. Its team of accomplished professionals has experience working across a wide array of industry verticals, creating a broad range of perspectives and viewpoints, which has helped deliver the top results for clients. Services provided by Three Sixty Seven include sell-side mergers & acquisitions, buy-side mergers & acquisitions, and corporate debt advisory for middle market companies & sponsors throughout the US from their headquarters in Tampa, FL. Media Contact Ryan Penna, Three Sixty Seven Advisors, 1 (516) 582-1046, [email protected], www.threesixtyseven.com SOURCE Three Sixty Seven Advisors Do not sell or share my personal information:
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Agility Robotics podnosi poprzeczkę. Zobacz, jak robot Digit dźwiga ciężary
Description: Dla człowieka 29 kg to nie jest jakiś wielki ciężar. Jasne, to zależy też od jednostki, ale większość z nas raczej nie miałaby problemu, gdyby musiała
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Humanoid przeszedł rygorystyczny test siły, wykonując martwy ciąg z obciążeniem wynoszącym 65 funtów (około 29 kilogramów). To było prawdziwe wyzwanie konstrukcyjne i programistyczne. Siła siłowników to jedno, ale kluczową rolę odegrała tutaj zaawansowana koordynacja całego „ciała”, która pozwoliła maszynie dynamicznie reagować na zmiany środka ciężkości. Martwy ciąg został wybrany przez inżynierów z Oregonu nie bez powodu. To ćwiczenie, które w świecie biologii angażuje niemal każdą grupę mięśniową, a w świecie robotyki wymaga perfekcyjnej synchronizacji ramion, nóg i tułowia. Każdy centymetr ruchu w górę to tysiące kalkulacji w czasie rzeczywistym, mających na celu utrzymanie stabilności i zapobieżenie wywróceniu się maszyny. Sekret sukcesu Digita tkwi w procesie szkolenia opartym na zaawansowanych symulacjach. Zamiast ryzykować uszkodzenie drogiego sprzętu w laboratorium, inżynierowie najpierw trenują „mózg” robota w środowisku wirtualnym. Tam cyfrowy odpowiednik Digita tysiące razy podnosi wirtualne ciężary o różnej masie i rozkładzie środka ciężkości. Dzięki temu system uczy się, jak korygować postawę, jak mocno zacisnąć chwytaki i jak balansować torsem jeszcze zanim realny robot dotknie fizycznego obciążenia. Pozwala to na odejście od sztywnego, ręcznego programowania ruchów na rzecz elastycznych zasad, pozwalających maszynie „czuć” ciężar i reagować na niego w sposób naturalny. To maszyna zaprojektowana do ciężkiej, powtarzalnej pracy w warunkach przemysłowych. Najnowsza iteracja robota przynosi szereg usprawnień, które mają uczynić go niezastąpionym elementem nowoczesnej logistyki: W wizji Agility Robotics, Digit ma uzupełniać autonomiczne wózki transportowe (AMR). Podczas gdy wózki zajmują się przewożeniem towarów na duże odległości, Digit przejmuje najbardziej precyzyjne zadania: zdejmowanie paczek z półek, układanie ich w stosy czy ładowanie wózków. Całość jest monitorowana przez platformę chmurową Arc, która pozwala zarządzać całą flotą robotów z jednego miejsca, dbając o ich konserwację i koordynację zadań. Czytaj też: Robotyczne mrówki z Harvardu. Budują i burzą bez planu, polegając na instynkcie otoczenia Pokaz siły Digita to jasny sygnał, że Chińczycy nie mają monopolu na robienie wrażenia w branży robotyki. Agility Robotics położyło właśnie kolejną cegiełkę pod przyszłość, w której to roboty będą wykonywać ciężkie prace w fabrykach, pozwalając ludziom skupić się na rzeczach mniej obciążających ich ciała. Oczywiście jak to zwykle bywa, na razie mieliśmy do czynienia z demonstracją w ściśle kontrolowanych warunkach, więc minie jeszcze trochę czasu, zanim komercyjne maszyny staną się równie silne. Źródło: Agility Robotics Portal technologiczny z ponad 29-letnią historią, piszący o nauce i technice, smartfonach, motoryzacji, fotografii. Technologie mamy we krwi!
Description: Figure AI, startup nel campo della robotica umanoide su cui ha investito anche OpenAI, ha svelato il suo ultimo progetto, Figure 02. (ANSA)
Description: Vider un lave-vaisselle, ranger les assiettes, et recommencer. Rien de spectaculaire, et pourtant : c’est précisément par là que Figure AI veut convaincre avec Figure 03, son robot humanoïde de troisième génération. Pensé pour s’attaquer aux corvées du quotidien, l'humanoïde mise sur une nouvelle IA maison, Helix 02, et sur une conception taillée pour la production en série.
Description: Eine Zukunft, in der Menschen und humanoide Roboter Seite an Seite leben, rückt immer näher in den Bereich des Möglichen. Tesla hat nun die nächste Generati...
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Sony AI table tennis robot outplays elite human players - …
Ace rotates its paddle as it prepares to return the ball back to its human opponent, Yamato Kawamata, during a match in December 2025. Credit: Sony AI. In an article published today in Nature, Sony AI introduce Ace, the first robot to beat elite human players in competitive physical sport. Although AI systems have shown advanced performance in digital domains and board games (such as complex video games, chess and Go), translating this to physical performance has remained a significant challenge. Such a feat requires perception, planning, and control to work in a high-speed domain on the scale of milliseconds. Table tennis is a demanding and complex real-world test for robotics, requiring rapid decision-making, precise physical execution, and continuous adaptation to an unpredictable opponent. The ball’s high speed, spin, and complex trajectories are central to competitive play. Director of Sony AI in Zürich, and project lead for Ace, Peter Dürr said “this research has shown that an autonomous robot can, in fact, win at a competitive sport, matching or exceeding the reaction time and decision making of humans in a physical space. Table tennis is a game of enormous complexity that requires split-second decisions as well as speed and power. This research breakthrough highlights the potential of physical AI agents to perform real-time interactive tasks, and represents a significant step toward creating robots with broader applications in fast, precise, and real-time human interactions.” A complete view of table tennis robot, Ace, including arm and track. Credit: Sony AI. Ace combines event-based vision sensors and a control system based on model-free reinforcement learning, as well as state-of-the-art high-speed robot hardware. Ace was designed with three novel components: Members of the Ace research team and table tennis officials pose with the robot and its human opponent, Mayuka Taira, following an official match in December 2025. https://robohub.org/wp-content/uploads/2026/04/Video-4_Sony-AI_Ace-Net-Bounce-Trajectory.mp4From Figure 4 in the Nature manuscript “Outplaying elite table tennis players with an autonomous robot” this film shows the robot making a split section change to its trajectory when the ball hits the net. Credit: Sony AI and Nature. For the results reported in the Nature publication, Ace was evaluated in matches against five elite players and two professional table tennis players, under International Table Tennis Federation (ITTF) regulations. Ace achieved three victories in five matches against the elite players, along with competitive performances in the remaining matches. There were some interesting results from the evaluations, including the fact that Ace was able to return a wide range of spins, consistently achieving over 75% return rate up to spins of 450 rad/s. The control systems behind Ace also allowed for quick reaction to unusual shots, such as balls bouncing off the net. This behavior illustrates the ability of the approach to generalize to situations that are both rare and hard to model in simulation. Following submission of the Nature manuscript, the team conducted additional competitive matches in December 2025 and March 2026, beating professional players in the process. Compared with earlier evaluations, Ace demonstrated higher shot speeds, more aggressive placement closer to the table edge, and faster-paced rallies, reflecting continued performance gains under competitive conditions. Find out more about the project in this video from Sony AI.
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AWS and Neura Robotics Team Up to Close Physical AI's …
Description: Amazon Web Services (AWS) and Neura Robotics announced a strategic partnership at Hannover Messe aimed at taking Physical AI from development into global
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Amazon Web Services (AWS) and Neura Robotics announced a strategic partnership at Hannover Messe aimed at taking Physical AI from development into global deployment. AWS serves as the primary cloud provider for the German robotics company and hosts the Neuraverse platform — the infrastructure for AI training, real-time data processing, and shared intelligence across robot fleets. The collaboration connects three areas: cloud infrastructure, AI development, and real-world validation in Amazon fulfillment centers. The Neura Gym training environments will be integrated with Amazon SageMaker to accelerate AI training pipelines. In parallel, Neura is joining the AWS Partner Network and jointly opening up new go-to-market activities for cognitive robotics solutions. Amazon is simultaneously evaluating the deployment of Neura robotic systems in selected logistics centers. The partnership addresses one of the most critical problems in Physical AI: while large language models have access to trillions of data points from the internet, robots have only a fraction of that. The collaboration targets the central challenge of Physical AI directly: the lack of training data. Robots that are meant to perceive, think, and act in the real world require continuous learning loops between simulation and reality. Neura’s Intelligence Layer enables robots to adapt and reliably collaborate with humans. Combined with AWS’s global cloud infrastructure, this creates the full stack to scale Physical AI rapidly. The Neuraverse platform on AWS establishes the foundation to train, test, and continuously improve robotic intelligence across customer, partner, and internal use cases. As the world’s leading cloud provider, AWS brings not only computing power but a comprehensive portfolio of AI and machine learning services to the partnership. For Neura, this means faster, more efficient, and reproducible AI training across platforms and fleets. AWS was chosen for its unmatched compute availability and managed service networks that translate Physical AI from theory into practice. “Physical AI will only reach its full potential if intelligence can be trained, validated, and continuously improved in the real world. With AWS, we gain the infrastructure to scale the Neuraverse globally. With Amazon, we have the opportunity to bring Physical AI into one of the most advanced operational environments in the world. This is how Physical AI moves from vision to global reality – from Europe, together for the world,” said David Reger, CEO and founder of Neura Robotics. Jason Bennett, VP and Global Head of Startups and Venture Capital at AWS, adds: “Neura represents exactly the kind of transformative thinking required to unlock the full potential of Physical AI. Their open platform approach addresses the industry’s most critical challenge–the data gap–and we’re excited to support their mission with AWS’s scalable cloud infrastructure. As Neura scales production, AWS will provide the reliable, global foundation needed to power the Neuraverse and enable real-time intelligence sharing across their entire fleet.” The AWS partnership marks another milestone in Neura’s growing ecosystem of global technology partners — encompassing cloud infrastructure, AI, semiconductors, and industrial deployment. These include Kawasaki as well as industry giants such as Schaeffler, Bosch, and Qualcomm Technologies. The shared goal: to enable millions of cognitive robots by 2030. Aus Datenschutz-Gründen ist dieser Inhalt ausgeblendet. Die Einbettung von externen Inhalten kann in den Datenschutz-Einstellungen aktiviert werden: Datenschutz-Einstellungen
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Why Robots Are Studying Primates - The Economic Times
Description: 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.
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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 …
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
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.
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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 • …
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.
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…
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.
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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
Description: S. Korean tech company Naver is expanding its AI capabilities with robots operating throughout its headquarters, as the firm ramps up investment.
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 …
Description: The industry leader says Canada is leaving opportunity on the table in robotics.
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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
Description: 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.
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Seven deadly sins in artificial intelligence for digital medicine | …
Description: 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.
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.
Description: La startup américaine Figure AI vient de franchir une étape majeure dans l’histoire de la robotique humanoïde. Avec son nouveau modèle d’intelligence
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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
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
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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
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.
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...
Description: Компания временно приостановила производство гуманоидных роботов Optimus из-за проблем с конструкцией рук и предплечий.
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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
Description: 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
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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 ?
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...
Description: 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.
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
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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 …
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.
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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Description: Agibot deploys humanoid G2 robots in live factory, handling precise tasks and advancing real-world industrial AI adoption.
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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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