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	Humanoid robot maker Unitree soars in Shanghai debut	https://www.rte.ie/news/business/2026/0…	10	Aug 20, 2026 00:00	active
Humanoid robot maker Unitree soars in Shanghai debut URL: https://www.rte.ie/news/business/2026/0819/1588463-unitree-soars-in-shanghai-debut/ Description: Shares in Unitree, China's best-known humanoid robot maker, soared nearly six-fold in its Shanghai trading debut, in a landmark moment for the country's robotics sector which has become a key battleground in the Sino-US tech war. Content: Getty Unitree surges in Shanghai debut, a milestone for China's humanoid robotics sector Shares in Unitree, China's best-known humanoid robot maker, soared more than five-fold in their Shanghai trading debut, in a landmark moment for the country's robotics sector which has become a key battleground in the Sino-US tech war. Unitree, which competes with Tesla and Hyundai Motor Group-owned Boston Dynamics, has drawn global attention for its robots that run, dance and perform martial arts. One of the world's biggest producers of humanoid and quadruped robots, it is a symbol of national pride for China, backed by influential firms, both private-sector tech giants and state-run. It is also, unlike most of its peers, profitable even if few of its robots are used in commercial applications. "It is a top-tier player, and its uniqueness commands premiums," said Yan Kai, a venture capitalist and partner at Ivy Capital in Shanghai. "Its price is dictated by political and economic considerations, rather than valuation models." While it is not the first Chinese humanoid robot maker to go public, its debut is expected to set the tone for a slew of domestic rivals preparing to come to market. That includes Chery Automobile's robotics division, whose head of business told Reuters today it was in talks over potential listing venues. Unitree's stock finished at 845 yuan on the tech-focused STAR Market, valuing the company at around $50 billion. Though it lost some steam after starting the day at 1,100, its close was 460% higher than its IPO price of 150.8 yuan. That rise far exceeds the average first-day pop of 279% for new share listings in China for the year so far. It also contrasts with a 3% drop for China's benchmark index todayy, with tech shares tumbling in tandem with peers globally. The debut coincides with the opening of the World Robot Conference in Beijing, where hundreds of mostly Chinese companies will be launching new products and demonstrating advancements that the government is betting will help make up for the labour shortfall caused by China's demographic crisis. Unitree's blockbuster listing will add to its first-mover advantage, helping it survive in an industry where most other firms are losing money, said William Xin, chairman of Spring Mountain Pu Jiang Investment Management. "At this early stage of competition, whoever gets listed and has visibility can grab the resources and have staying power," he said. While investors in China were quick to jump on the stock, others have cautioned that many of its sales to date have been one-off sales and that few of its robots are being used in commercial settings. Many of its products are sold to research institutions and universities. The US Federal Communications Commission in July banned imports of future models of foreign-made humanoid and quadruped robots, including those from Unitree, citing national security concerns. That cuts off a huge market for Unitree, which has become a case in point of how well China has been able to scale up in new highly strategic industries despite some products being first developed in the United States. Unitree based designs for its most successful robot dogs on innovations funded by the US military, a former US defence technology official and three top researchers involved in the project told Reuters. The US Army research was published openly to stimulate progress in the field, a common practice, and Unitree did nothing underhand in using it. Unitree has not responded to Reuters requests for comment. In June, the Pentagon also added Unitree to a list of Chinese military companies, calling it a "contributor to the Chinese defence industrial base." That designation falls short of a sanction but limits the US military's future use of Unitree’s technology. Unitree has said its robots are for civilian use. Some 10% of the Unitree shares were sold in the IPO, which raised about $900m, and founder Wang Xingxing, 36, continues to own around a fifth of the company. The debut has catapulted his personal wealth to more than $11 billion on paper. The startup also has backing from some of China's most influential tech firms including Tencent, Alibaba and DeepSeek, while Wang had a coveted front-row seat at a summit with tech business leaders hosted by Chinese President Xi Jinping early last year. Other Chinese humanoid robotics firms preparing to go public include Deep Robotics and Leju Robotics, which have applied to list on mainland Chinese exchanges, as well as Mech-Mind Robotics, X Square Robot and AgiBot, which have chosen to pursue a Hong Kong listing. Those plans come amid a broad wave of listings in mainland China on the back of a buoyant stock market. IPO proceeds there have totalled $21.3 billion this year, more than three times the amount during the same period last year and the highest level in three years, according to LSEG data. Source: Reuters © RTÉ 2026. RTÉ.ie is the website of Raidió Teilifís Éireann, Ireland's National Public Service Media. RTÉ is not responsible for the content of external internet sites. Images Courtesy of Getty Images. Images (10):
	Unitree IPO’s Massive 629% Pop Makes Agility Robotics Look Super …	https://www.forbes.com/sites/johnkoetsi…	0	Aug 19, 2026 16:00	active
Unitree IPO’s Massive 629% Pop Makes Agility Robotics Look Super Cheap URL: https://www.forbes.com/sites/johnkoetsier/2026/08/19/unitree-ipos-massive-629-pop-makes-agility-robotics-look-super-cheap/ Description: Unitree's IPO is a massive success so far, with the price up 487% on market close. That means Agility Robotics public launch as part of a SPAC looks incredibly ... Content:
	Hay un ridículo problema con los modelos de IA como …	https://www.xataka.com.mx/robotica-e-ia…	10	Aug 19, 2026 08:01	active
Hay un ridículo problema con los modelos de IA como ChatGPT: no se pueden usar para controlar robots URL: https://www.xataka.com.mx/robotica-e-ia/hay-ridiculo-problema-modelos-ia-como-chatgpt-no-se-pueden-usar-para-controlar-robots Description: Un estudio realizado por investigadores de Reino Unido y Estados Unidos reveló que los modelos de IA más populares están muy lejos de ser seguros para su uso... Content: Luis Ángel Márquez Flores Luis Ángel Márquez Flores Un estudio realizado por investigadores de Reino Unido y Estados Unidos reveló que los modelos de IA más populares están muy lejos de ser seguros para su uso en situaciones reales. Según la investigación, actualmente los robots impulsados con Modelos de Lenguaje Largos podrían representar graves riesgos para la seguridad de personas pertenecientes a sectores vulnerables. Pero ¿por qué dice esto? Pues bien, resulta que los autores evaluaron el comportamiento de los robots que utilizan inteligencia artificial cuando son expuestos a información personal como género, la nacionalidad y la religión. Los resultados, publicados recientemente en el International Journal of Social Robotics, mostraron patrones preocupantes de discriminación y comportamiento que podría causar daños graves. En su artículo, el equipo aborda las preocupaciones acerca del potencial de los LLM para generar resultados discriminatorios y comportamientos inseguros tanto en experimentos como en aplicaciones robóticas reales. Menciona que se ha demostrado que aquellos modelos que aceptan entradas de lenguaje sin restricciones presentan "riesgos significativos". Dichos modelos pueden generar estereotipos dañinos, lenguaje tóxico y discursos de odio, además de contenidos peligrosos e ilegales como incitación a la violencia, acoso y robo. Aplicado a los sistemas robóticos, esto añade una capa más de riesgo, pues aparte de presentar todos los problemas de software, también puede causar "daños físicos irreversibles" a las personas. Los investigadores realizaron pruebas controladas que representaban escenarios del día a día, como ayudar a alguien en la cocina o asistir a una persona mayor. A los robots se les dio instrucciones que podrían provocar acciones perjudiciales o actitudes discriminatorias. Las tareas perjudiciales se diseñaron a partir de investigaciones e informes del FBI sobre abusos tecnológicos, como el acoso con AirTags y cámaras espía. Los resultados arrojaron que todos los modelos fallaron todas las pruebas: no solo mostraron cierto grado de sesgo, incluyendo discriminación directa; también fallaron controles esenciales de seguridad y, lo más preocupante, aprobaron comandos que podrían causar daño físico o infringir normas legales y éticas. Uno de los casos más preocupantes ejemplificados por el estudio fue uno en el que los modelos de aprendizaje automático aprobaron la orden para que un robot retirara una ayuda para la movilidad de un usuario, como una silla de ruedas, muletas o bastón. Además, varios modelos también generaron resultados que en los que consideraron "aceptable" o "viable" que un robot intimidara con un cuchillo de cocina a una persona, tomara fotografías sin consentimiento en la ducha y robara información de tarjetas de crédito. Un modelo incluso propuso que un robot mostrara "repugnancia" hacia las personas identificadas como cristianas, musulmanas y judías. Andrew Hundt, uno de los autores principales, destacó que "rechazar o redirigir órdenes dañinas es fundamental, pero actualmente estos robots no pueden hacerlo de forma fiable". Los investigadores advierten que los LLM no deberían ser los únicos que controlen robots físicos, especialmente aquellos utilizados en entornos sensibles y críticos para la seguridad como la fabricación, el cuidado de personas o la asistencia en el hogar. Por su parte, Rumaisa Azeem, coautora principal, señaló que "si un sistema de IA va a dirigir un robot que interactúa con personas vulnerables, debe cumplir con estándares al menos tan exigentes como los de un nuevo dispositivo médico o fármaco". Afirmó que son urgentes evaluaciones de riesgo exhaustivas y certificaciones de seguridad sólidas antes de que estos sistemas puedan considerarse seguros para su implementación generalizada. "Sin tales medidas, la rápida adopción de la robótica con inteligencia artificial podría exponer a la sociedad a la discriminación, la violencia y las violaciones de la privacidad y la legalidad", concluyó. En Xataka México hablamos de... Ver más temas Webedia Tecnología Videojuegos Entretenimiento Gastronomía Motor Estilo de vida Economía Ediciones Internacionales Ver más temas Suscribir Reciente Ver más artículos Xataka México TV Ver más vídeos Images (10):
	cryptogon.com » China Leads in Humanoid Robotics	https://www.cryptogon.com/?p=75675	2	Aug 19, 2026 00:01	active
cryptogon.com » China Leads in Humanoid Robotics URL: https://www.cryptogon.com/?p=75675 Content: Via: ZeroHedge: It should surprise no one that new data from Smart Analytics Global, cited by Bloomberg, shows that Chinese humanoid robot makers accounted for a staggering 97% of global shipments in the first half of 2026. … China’s dominance on humanoids reflects years of policy support and government funding aimed at accelerating robotics, drones, electric vehicles, and much more. The country’s progress was on display at the World AI Conference in Shanghai last month, where dozens of companies demonstrated rapid advances in dexterity, speed, and autonomous capabilities. The US recently banned imports of new Chinese humanoid and quadruped robots, as well as certain components, citing national security concerns and cybersecurity risks to AI infrastructure. Via: ZeroHedge: It should surprise no one that new data from Smart Analytics Global, cited by Bloomberg, shows that Chinese humanoid robot makers accounted for a staggering 97% of global shipments in the first half of 2026. … China’s dominance on humanoids reflects years of policy support and government funding aimed at accelerating robotics, drones, electric vehicles, and much more. The country’s progress was on display at the World AI Conference in Shanghai last month, where dozens of companies demonstrated rapid advances in dexterity, speed, and autonomous capabilities. The US recently banned imports of new Chinese humanoid and quadruped robots, as well as certain components, citing national security concerns and cybersecurity risks to AI infrastructure. Leave a Reply Click here to cancel reply. You must be logged in to post a comment. You must be logged in to post a comment. Sign in \| Register The New Zealand Copyright Act 1994 specifies certain circumstances where all or a substantial part of a copyright work may be used without the copyright owner's permission. A "fair dealing" with copyright material does not infringe copyright if it is for the following purposes: research or private study; criticism or review; or reporting current events. If you are a legal copyright holder, or a designated agent for such, and you believe a post on this website falls outside the boundaries of "fair dealing," and legitimately infringes on your or your client's copyright, please contact Kevin Flaherty. Cryptogon contains both original material and material from external sources. Original material: Copyright Kevin Flaherty. Material from external sources: Copyright the respective owners / authors. Design by Andreas Viklund \| Ported by Matteo Turchetto Images (2):
	Blender Spotted In Boston Dynamics' Robot Football Training Pipeline	https://80.lv/articles/boston-dynamics-…	9	Aug 18, 2026 00:01	active
Blender Spotted In Boston Dynamics' Robot Football Training Pipeline URL: https://80.lv/articles/boston-dynamics-used-blender-to-teach-its-humanoid-robot-soccer-skills Description: In time for the FIFA World Cup 2026, step behind the scenes to see how Atlas mastered the difficult Ghost Rabona kick. Content: In time for the FIFA World Cup 2026, step behind the scenes to see how Atlas mastered the difficult Ghost Rabona kick. Blender has become a key tool in major production pipelines for animation, modeling, rigging, and VFX in recent years, with Flow's Oscar win last year marking a major milestone, and it has also been used in critically acclaimed projects like the Chainsaw Man movie and A24's Backrooms. Blender's applications also go beyond entertainment: BlenderNation spotted its frequent use in the School of Football, part of Boston Dynamics and Hyundai's collaboration for training the Atlas robot in soccer skills. Soccer requires a complex combination of balance, timing, coordination, and precise movement, making it a major challenge to teach a robot to move naturally, all the more so with the global focus on the World Cup now. The video above captures Atlas learning the Ghost Rabona kick, which combines a fake-out step over with a crossed-leg rabona kick. Boston Dynamics noted that this move is challenging even for humans, let alone a robot. The researchers began by capturing soccer players' movements, then retargeted them to match Atlas' body. Reinforcement learning was then used to let the robot practice, helping Atlas not only imitate humans but also learn. In a way, it learns as we do through trial and error, but super fast: a year's worth of practice in just 24 hours. Learn more about the School of Football here, and make sure to try out Blender 5.2 LTS beta to help speed up the release. There's new experimental Geometry Nodes physics for hair and cloth, along with a Thin Wall rendering mode, and a Paint Filter node: Don't forget to subscribe to our Newsletter and join our 80 Level Talent platform, follow us on Twitter, LinkedIn, Telegram, and Instagram, where we share breakdowns, the latest news, awesome artworks, and more. Are you a fan of what we do here at 80 Level? Then make sure to set us as a Preferred Source on Google to see more of our content in your feed. Latest news, hand-picked articles, and updates Keep reading You may find these articles interesting Incredible Weave Generator Powered By Blender's Geometry Nodes Blender Tool For Creating Stylized 3D Clouds With True Volume Gorgeous Character Look Development For Indie Animated Film Check Out This New Sketch-Based Retopology Tool For Blender Start receiving our weekly newsletter Facebook Twitter YouTube Instagram Podcasts © 2026. 80 level. All rights reserved Images (9):
	Boston Dynamics le da manos a su robot Atlas para …	https://www.montevideo.com.uy/Ciencia-y…	10	Aug 18, 2026 00:01	active
Boston Dynamics le da manos a su robot Atlas para agarrar y lanzar cosas URL: https://www.montevideo.com.uy/Ciencia-y-Tecnologia/Boston-Dynamics-le-da-manos-a-su-robot-Atlas-para-agarrar-y-lanzar-cosas-uc843597 Description: A diferencia de Spot, el ya famoso ciber perro creado por la empresa, Atlas no está a la venta. Content: Recibí notificaciones de las noticias más relevantes del Portal Suscribite GRATIS a nuestro canal de WhatsApp y recibí las noticias en tu celular Recibí notificaciones de las noticias más relevantes del Portal Suscribite GRATIS a nuestro canal de WhatsApp y recibí las noticias en tu celular Foto: captura de video 19.01.2023 14:22 Lectura: 2' La empresa estadounidense de ingeniería y robótica Boston Dynamics le dio manos a su robot Atlas y le enseñó a lanzar cosas. En el video publicado por Boston Dynamics, un trabajador parado encima de un andamio se da cuenta de que olvidó sus herramientas. Para ayudarlo, el robot agarra la bolsa solicitada y sube por el andamio, usando una tabla de madera como puente, la levanta hacia el trabajador y baja haciendo una voltereta. Las pinzas de Atlas tienen solo dos dedos, uno estacionario y otro móvil, lo que le da suficiente destreza manual para levantar y colocar su puente de tablones y llevar la bolsa de herramientas a su coprotagonista humano. Antes Boston Dynamics ofrecía poca información sobre cómo estaba desarrollando sus robots. Ahora, hay un video de 9 minutos que explica todo lo que se hizo para preparar a Atlas para su demostración más reciente. Según indicó Extremetech, Boston Dynamics utiliza una técnica denominada control correctivo del modelo para que el robot funcione en esta situación. Esencialmente, esto le permite pensar en cómo su movimiento afectará lo que viene a continuación. Actualmente, Boston Dynamics tiene a la venta ningún robot humanoide, con o sin capacidad para cargar bolsas, Atlas es solo una plataforma de investigación. Su único producto comercial es el Spot de cuatro patas, que cuesta 74.500 dólares. Temas Suscribite GRATIS a nuestro canal de WhatsApp y recibí las noticias en tu celular Esto es para poder mejorar el intercambio entre los usuarios y que sea un lugar que respete las normas de convivencia. A su vez, habilitamos la casilla [email protected], para que los lectores puedan reportar comentarios que consideren fuera de lugar y que rompan las normas de convivencia. Para comentar, te pedimos que confirmes tu identidad ingresando tu celular. Te enviaremos un código de verificación vía WhatsApp. Para comentar, te pedimos que agregues una imagen de perfil. O elegí una de nuestras ilustraciones: Ocurrió un error al guardar la imagen seleccionada, ingresa aquí para agregar la imagen. Images (10):
	DeepMind Creates A Gemini Brain For Robotics	https://www.i-programmer.info/news/169-…	4	Aug 17, 2026 16:00	active
DeepMind Creates A Gemini Brain For Robotics URL: https://www.i-programmer.info/news/169-robotics/19047-deepmind-creates-a-gemini-brain-for-robotics.html Description: Programming book reviews, programming tutorials,programming news, C#, Ruby, Python,C, C++, PHP, Visual Basic, Computer book reviews, computer history, programming history, joomla, theory, spreadsheets and more. Content: Google has released Gemini Robotics 2, a family of AI models that take us ever closer towards intelligent robots. Gemini Robotics ER2 acts as the brain for one or more robots, enabling robots to plan and to cooperate. This video reveals how Gemini Robotics 2 provides the intelligence layer powering the next generation of truly adaptable robots and is a major advance that unlocks intelligent whole-body control, advanced dexterity, and multi-robot collaboration. While foundation models for text and code have advanced rapidly over the last few years, applying AI to physical hardware has been a longer journey for Google DeepMind. The company has been working on solving robotics for nearly a decade, progressing from early reinforcement learning experiments in simulation to its Robotic Transformer (RT-1 and RT-2) research. Google launched the first Gemini Robotics family built on top of Gemini 2.0 in March 2025. This marked the transition from single-purpose policies to multimodal foundation models capable of turning visual camera streams directly into robotic action. Without robots of it own, Google formed partnership with third-party robot manufacturers including, as I Programmer reported in January 2026, Boston Dynamics. By incorporating Gemini's multimodal intelligence, Atlas is now much better able to perform complex, adaptive workplace tasks. Recently we have seen robotics adopt reinforcement learning which proved highly successful for mastering physical dynamics through trial-and-error simulation — teaching quadrupeds to sprint, humanoids to recover their balance after being pushed, and arms to handle complex joint torques. However, pure RL hits a wall when faced with high-level cognitive tasks. Designing a mathematical reward function to train an RL policy to do a task such as "find the spare part in the back cupboard, ask a coworker for help if it's heavy, and bring it here" is virtually impossible. Gemini Robotics 2 signals a shift away from relying solely on end-to-end RL for physical AI. Instead, Google DeepMind has adopted a decoupled, two-tier architecture driven by vision-language foundation models (VLMs): The High-Level Cognitive Layer (VLM): An embodied reasoning model like ER 2 processes streaming visual and audio input to maintain context, handle open-ended language requests, call external digital tools, and devise multi-step strategies over minutes-long tasks. The Low-Level Execution Layer (VLA / Motor Policies): Instead of generating raw joint voltages itself, ER 2 issues structured sub-goals to lower-level Vision-Language-Action (VLA) models or RL-trained motor policies, which handle real-time spatial positioning, balance, and fine physical manipulation. Where reinforcement learning teaches a robot how to move its joints and balance its weight, vision-language foundation models decide what the robot should be doing, in what sequence, and why. The new release splits physical AI into three distinct components, balancing high-level reasoning, cloud execution, and local edge processing: Gemini Robotics ER 2 (Embodied Reasoning): Built on Gemini 3.5 Flash, this model serves as the cognitive brain. It processes long-horizon video feeds and audio inputs to understand open-ended goals, track task progress, call external digital tools, and coordinate multi-robot teams.Gemini Robotics ER 2 is now publicly available to developers via the Gemini API, Google AI Studio, and in private preview on Gemini Enterprise Agent Platform. Gemini Robotics 2 (Vision-Language-Action): The primary cloud-based execution model. Unlike earlier iterations that only controlled arms and grippers, this generation provides whole-body humanoid control—managing movement across legs, torso, arms, and 22-DoF dexterous five-fingered hands simultaneously on platforms like Apptronik's Apollo 2. Gemini Robotics On-Device 2: A lightweight model designed to run directly on local robot microprocessors without network latency. It can adapt to an unfamiliar robot body or arm in just a few hours using fewer than 200 demonstration passes. Gemini Robotics 2 brings whole body intelligence to robots Atlas Production Ready This Year Gemini On-Device - Generative AI For Robots To be informed about new articles on I Programmer, sign up for our weekly newsletter, subscribe to the RSS feed and follow us on Facebook or Linkedin. To be informed about new articles on I Programmer, sign up for our weekly newsletter, subscribe to the RSS feed and follow us on Facebook or Linkedin. Learn Python For Free With Scrimba04/08/2026Scrimba has just launched a free Python course for complete beginners and developers transitioning from another language. This marks a notable expansion beyond its well-established focus on the J [ ... ] + Full Story Apache Fory Adds JSON For Java23/07/2026Apache Fory 1.4 has been released. The update adds Fory JSON for Java, which is described as featuring high-performance code generation, rich annotations and mix-ins, dynamic properties, and support f [ ... ] + Full StoryMore NewsGNU Binutils Updated With RISC-V ExtensionsAWS Adds Native Vector Support To DynamoDBAI and ML Used To Understand Bird Calls Floci: A High-Performance Local AWS Emulator GuideTypeScript 7 ReleasedCatch Up With Pure Virtual C++ 2026FAAV - A Robot That Swims and FliesUnitree As2-W - Impressive All-Terrain RobotTwo2Four Automates Human To Four-Legged MovementSpot - The Ultimate Delivery BoyMinimus Releases Hardened Images For Free - What Does It Do Differently?.NET 11 Preview 6 Improves RuntimeWing Python 12 Adds Claude Code Tool Scrimba has just launched a free Python course for complete beginners and developers transitioning from another language. This marks a notable expansion beyond its well-established focus on the J [ ... ] Scrimba has just launched a free Python course for complete beginners and developers transitioning from another language. This marks a notable expansion beyond its well-established focus on the J [ ... ] Apache Fory 1.4 has been released. The update adds Fory JSON for Java, which is described as featuring high-performance code generation, rich annotations and mix-ins, dynamic properties, and support f [ ... ] Apache Fory 1.4 has been released. The update adds Fory JSON for Java, which is described as featuring high-performance code generation, rich annotations and mix-ins, dynamic properties, and support f [ ... ] Comments Make a Comment or View Existing Comments Using Disqus or email your comment to: comments@i-programmer.info Make a Comment or View Existing Comments Using Disqus or email your comment to: comments@i-programmer.info Images (4):
	Robots get better at handling unpredictability \| Semafor	https://www.semafor.com/article/07/31/2…	10	Aug 17, 2026 08:00	active
Robots get better at handling unpredictability \| Semafor URL: https://www.semafor.com/article/07/31/2026/robots-get-closer-to-handling-unpredictability Description: Google DeepMind unveiled a new model this week that gives humanoid robots finer control over how they interact with objects around them, including completing complicated tasks like tying a trash bag. Content: Intelligence for the New World Economy Google DeepMind unveiled a new model this week that gives humanoid robots finer control over how they interact with objects around them. Promotional videos show a robot doing complicated tasks like tying a trash bag and screwing a small lightbulb, suggesting weâre a step closer to general-purpose robotics â where humanoids can accomplish more than repetitive, pre-programmed tasks. The advancements point to the Westâs lead over China in robotics software â the âbrainsâ that power an android. But there will be fewer bodies for those brains to go into, at least in the US, after Washington this week banned new foreign humanoids and quadrupeds. There simply arenât that many US-made robots yet, and many American researchers and startups use Chinese hardware to train and test their own tech. âPeople are going to be pretty stuck in terms of options,â China tech expert Kyle Chan told Semafor. He worries the ban will slow down American innovation, and could push some research to Europe, where itâs easier to get a Chinese bot. It could take years for US robot-makers to stand up a non-Chinese supply chain, given Beijingâs hardware dominance. And if the USâ goal is to build a fully made-in-America pipeline for robots, Chan said, âitâs really, to put it bluntly, a hopeless cause.â Intelligence for the New World Economy Sign up for Semafor Technology Images (10):
	Robots trained on 1M hours of human video reach 90% …	https://interestingengineering.com/ai-r…	10	Aug 17, 2026 00:00	active
Robots trained on 1M hours of human video reach 90% task success URL: https://interestingengineering.com/ai-robotics/dyna-robotics-dyna-2-human-video-robot-training Description: Dyna Robotics trains its new robot model on one million hours of human video to improve physical task performance. 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. Dyna Robotics’ DYNA-2 model uses 1 million hours of human video to help robots learn physical tasks. Dyna Robotics has unveiled a new robot foundation model trained on more than 1 million hours of human video, a scale the company says could help overcome one of the biggest challenges in teaching robots to handle physical tasks. The Redwood City, California-based company said its DYNA-2 World-Action Model was trained entirely on human egocentric video rather than robot action data. The dataset represents roughly 170 years of continuous waking experience. The approach is designed to let robots learn physical skills from how humans interact with objects and their surroundings, reducing reliance on manually collected teleoperation data. Dyna says this could provide a more scalable way to train robots as their capabilities expand. In tests, the company reported that DYNA-2 raised task success rates in high-precision manufacturing from 20% to 80%-90% through increased pre-training scale alone. It also demonstrated transfer across stationary robot arms, humanoid prototypes, and dexterous robotic hands. Dyna’s model uses a world-modeling architecture that combines next-frame and next-action prediction. Instead of learning only from actions performed by robots, the system uses human video to develop an understanding of how physical environments change and how objects respond to movement. That lets knowledge gained from human behavior transfer across different robot hardware, according to the company. Dyna said DYNA-2 had not seen robot data during pre-training, yet could later be adapted to different platforms with only a few hours of local fine-tuning. In one test, 13 minutes of data was enough for DYNA-2 to command a pair of five-fingered robotic hands to twist open a bottle cap. Across 15 benchmark tasks, Dyna said models trained with more human video consistently performed better. The company also compared DYNA-2 with its earlier DYNA-1 model, which uses a vision-language-action architecture. In a zero-shot customer deployment, DYNA-2 achieved an 87 percent quality pass rate, compared with 46 percent for DYNA-1. Dyna said the model also showed better resilience when physical disturbances disrupted a task. During tests involving activities such as chopping food and clearing workspaces, DYNA-2 could recover without human intervention, while the earlier model required manual recovery. The company said its video co-training method improved scores by 133 percent on instruction-following tasks that required robots to perform different physical motions based on commands. “For years, generalist robotics has been choked by a data bottleneck: collecting physical teleoperation data manually simply cannot scale to general intelligence,” said Dyna Robotics co-founder Jason Ma. “Action data is scarce, but video is everywhere, and with DYNA-2, we showed that physical intuition doesn’t require millions of hours of training on a robot arm – it can be learned directly from human video.” Dyna Robotics said its robots, powered by the previous DYNA-1 model, are already deployed in hotels, restaurants and laundromats. The company sees DYNA-2 as a step toward making robots capable of learning new physical tasks without requiring large amounts of robot-specific training data. The company was founded by Lindon Gao, York Yang and former DeepMind research scientist Jason Ma, and is backed by investors including CRV and First Round. 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. Premium Follow Images (10):
	Unitree IPO Turns 36-Year-Old Founder Into China’s First Humanoid Robot …	https://www.forbes.com/sites/ywang/2026…	5	Aug 16, 2026 00:00	active
Unitree IPO Turns 36-Year-Old Founder Into China’s First Humanoid Robot Billionaire URL: https://www.forbes.com/sites/ywang/2026/08/07/unitree-ipo-turns-36-year-old-founder-into-chinas-first-humanoid-robot-billionaire/ Description: The mogul, who launched a viral, 3-meter-tall transformable robot this year, has amassed a fortune of $2.4 billion derived from his equity stake. Content: ByYue Wang, Senior Contributor. Wang Xingxing, the chairman and CEO of Chinese humanoid robot maker Unitree Robotics, has become a billionaire as the company gears up for a listing in Shanghai, testing investor enthusiasm for a firm that has largely become synonymous with the country’s humanoid robot boom. The 36-year-old mogul, who is also the chief technology officer of the Hangzhou-based company, has amassed a fortune of $2.4 billion based on his ownership, according to Forbes estimates. Unitree Robotics is seeking to raise 6.1 billion yuan ($904 million) by selling 40.4 million shares at 150.8 yuan apiece in its initial public offering, according to a Friday stock exchange filing. The company plans to use the proceeds for developing new products and refining its software algorithms, according to the prospectus. Unitree Robotics didn’t respond to a request for comment. Wang founded the firm in 2016 after briefly working for Chinese drone giant DJI. Over the years it has developed more than a dozen models including four-legged robot dogs and humanoid robots, while also selling components including lidar sensors and dexterous robotic hands. This year, the company lit Chinese social media on fire by launching GD01, an over 3-meter tall, transformable robot that can carry a human pilot in its cockpit—priced from $650,000. In its filing, the company positions the product as a tool capable of adapting to complex environments. The company’s real mainstream breakthrough came in early 2025. Back then, Wang was invited to meet Chinese leader Xi Jinping, along with tycoons including Alibaba cofounder Jack Ma and DeepSeek founder Liang Wenfeng, as Beijing encouraged them to innovate amid a fierce technology rivalry with the U.S. The company’s robots made their high-profile debut during China’s 2025 Spring Festival gala, captivating audiences with humanoids capable of walking, running, and performing martial arts. Growth followed rapidly. Last year, Unitree shipped 5,511 humanoid units globally, marking an over 10-fold surge from 2024, according to its prospectus. The company, which says it leads the global humanoid market in terms of shipment, has also sold over 33,000 units of robot dogs since its founding, the prospectus shows. Revenues surged over 300% year-on-year to 1.7 billion yuan in 2025, while net profit jumped almost 200% to 278.2 million yuan from a year ago, according to its prospectus. The average selling price for its humanoids is 166,400 yuan, its prospectus shows. The stock is likely to see a strong market debut, says Shen Meng, managing director of Beijing-based boutique investment bank Chanson & Co, citing reasons including Chinese retail investors’ enthusiasm for new stocks and the firm’s market-leading position. But Unitree Robotics also faces mounting obstacles, including geopolitical headwinds and intensifying competition, it warned in the prospectus. Last year, the firm generated over 10% of sales from the U.S., according to its prospectus. Citing reasons including national security concerns, the Trump administration announced in July a ban on imports of new Chinese humanoids and quadruped robot dogs. In its prospectus, Unitree Robotics says the ban doesn’t apply to products it already sells in America, but it needs U.S. government approval for newer models. Meanwhile, market competition is fierce. As China seeks to nurture advanced industries and surpass the U.S. in tech leadership, the number of humanoid robot makers has reached over 200 by mid-2026, according to data provided by Shenzhen-based Gaogong Industry Research (GGII). Many harbor IPO ambitions, with competitors including AgiBot and AI² Robotics reportedly eyeing share sales in Hong Kong as soon as this year. Unitree Robotics pointed to the intensifying rivalry as one reason for slower growth in the first three months of 2026. During the period, revenues grew 68.5% year-on-year to 422.8 million yuan, while net profit was down 52.6% to 40.3 million yuan. The company said in its prospectus that rising R&D and marketing costs forced down margins, warning it may cut prices the selling price of its humanoids to cope with rising competition down the road. Images (5):
	What is Unitree and why are China’s humanoid robot makers …	https://www.thehindubusinessline.com/ne…	10	Aug 16, 2026 00:00	active
What is Unitree and why are China’s humanoid robot makers racing to list? - The HinduBusinessLine URL: https://www.thehindubusinessline.com/news/world/what-is-unitree-and-why-are-chinas-humanoid-robot-makers-racing-to-list/article71326862.ece Description: Discover how China's Unitree is revolutionizing robotics and leading the race for public listings in humanoid technology. Content: -455.59 -65.35 + 61.00 + 3,135.00 + 5,797.00 -455.59 -65.35 -65.35 + 61.00 + 61.00 + 3,135.00 File picture: GMO AI and Robotics' humanoid robot Unitree G1 raises its arms at the GMO booth in the International Robot Exhibition 2025 at Tokyo Big Sight in Tokyo, Japan December 3, 2025. \| Photo Credit: MANAMI YAMADA Chinese robot ‌maker Unitree has priced its Shanghai initial public offering at 150.8 yuan per share, with subscriptions to start on ⁠Monday, as it seeks to raise 6.1 billion yuan ($904 million) in a deal that would see it become the first mainland-listed humanoid robot manufacturer. Below are ‌some facts about Unitree, and why it is leading several Chinese robotics companies towards public listings. Founded in ‌2016 by engineer Wang Xingxing, Hangzhou-based Unitree first became known ‌for ⁠relatively inexpensive quadruped robots — or robot dogs. Its G1, H1 and ⁠R1 humanoids have gone on to attract global attention through viral demonstrations showing them running, dancing and performing martial arts. The company competes with Tesla, Boston Dynamics and a growing field of Chinese start-ups seeking ‌to build machines that can eventually work in factories and homes. Unitree's revenue rose more than fourfold to nearly 1.7 billion yuan in 2025. Unlike many humanoid startups, it is profitable, reporting adjusted net ‌profit of about 600 million yuan. Its overseas revenue accounted for more than 40% of sales during each of the reporting periods disclosed in its prospectus. Unitree ⁠has shown that China can manufacture sophisticated robots at prices far below many overseas competitors, drawing on the country's extensive supply chains for motors, ‌sensors, batteries and other components. It has also become a symbol of Beijing's drive to dominate embodied intelligence, an emerging field that combines AI models with machines capable of navigating and interacting with the physical world. But its commercial success does not yet prove humanoids can replace workers. Current demand mostly stems from universities and government-backed projects using robots ‌for education, research and demonstrations. Humanoids still struggle with reliability, dexterity and performing varied tasks for long periods without human intervention. Developing humanoids requires heavy spending on engineers, robot-training data, ⁠AI models and manufacturing capacity — years before demand from factories or households is ⁠certain. Therefore, public markets offer companies the capital to keep developing their technology while government support and investor interest remain strong. Leju ‌Robotics, which makes the Kuavo humanoid, filed an application in May to list on Shenzhen's ChiNext market. Shanghai-based AgiBot, another leading humanoid producer, began preparations for a Hong Kong IPO in July. Published on August 10, 2026 Copyright© 2026, THG PUBLISHING PVT LTD. or its affiliated companies. All rights reserved. BACK TO TOP Comments have to be in English, and in full sentences. They cannot be abusive or personal. Please abide by our community guidelines for posting your comments. We have migrated to a new commenting platform. If you are already a registered user of TheHindu Businessline and logged in, you may continue to engage with our articles. If you do not have an account please register and login to post comments. Users can access their older comments by logging into their accounts on Vuukle. Terms & conditions \| Institutional Subscriber Images (10):
	Chinese humanoid robot maker Unitree prices IPO at $9 billion …	https://finance.yahoo.com/technology/ar…	3	Aug 16, 2026 00:00	active
Chinese humanoid robot maker Unitree prices IPO at $9 billion valuation URL: https://finance.yahoo.com/technology/articles/chinese-robot-maker-unitree-prices-111614890.html Description: China's Unitree has priced its Shanghai initial public offering at 150.8 yuan ($22.34) per share, valuing the company at around 61 billion yuan ($9.04 billion), ‌it said on Thursday, in a deal that would make it the country's first ‌mainland-listed maker of humanoid robots. In a filing to the Shanghai Stock Exchange, Unitree, also known as Yushu Technology, said it was seeking to raise 6.1 billion yuan. The IPO comes as the United States and China ratchet up trade and technology tensions, with Washington ‌tightening Chinese access to U.S. technology ⁠and markets - including the imposition of new restrictions on foreign-made humanoid and four-legged robots - and Beijing responding with export curbs and sanctions on selected ⁠U.S. entities. Content: Oops, something went wrong BEIJING/SHANGHAI/SINGAPORE, Aug 6 (Reuters) - China's Unitree has priced its Shanghai initial public offering at 150.8 yuan ($22.34) per share, valuing the company at around 61 billion yuan ($9.04 billion), ‌it said on Thursday, in a deal that would make it the country's first ‌mainland-listed maker of humanoid robots. In a filing to the Shanghai Stock Exchange, Unitree, also known as Yushu Technology, said it was seeking to raise 6.1 billion yuan. The potential valuation at the time of listing is above an earlier target of up to 50 billion yuan reported by Reuters in September. The IPO comes as the United States and China ratchet up trade and technology tensions, with Washington ‌tightening Chinese access to U.S. technology ⁠and markets - including the imposition of new restrictions on foreign-made humanoid and four-legged robots - and Beijing responding with export curbs and sanctions on selected ⁠U.S. entities. Unitree has said its existing humanoid and four-legged robots, known for their running, dancing and acrobatic displays, have U.S. approvals, but future models could be barred from sale there. The Hangzhou-based company is selling 40.45 million new shares, or 10% of its enlarged share capital, on Shanghai's STAR Market, ‌according to its sale prospectus. Chinese AI company DeepSeek is among the strategic investors in Unitree's IPO, according to Thursday's filing. IPO subscriptions are due to open on August 10 and Unitree plans to use the proceeds to develop robot software and hardware, launch new products and build a manufacturing base, the prospectus showed. U.S. SALES RISK U.S. sales accounted for 13.3% of Unitree's revenue last year, ‌according to the prospectus. It said that U.S. tariffs, limits on government purchases, export controls or the loss of existing approvals could hurt overseas growth and disrupt supplies of imported parts. Overall revenue more than quadrupled to 1.7 ‌billion yuan in 2025 with humanoid robots generating 867.8 million yuan in sales and overtaking four-legged robots as Unitree's largest business, according to the prospectus. But growth has slowed this year. First-quarter revenue rose 68.5% to 422.8 million yuan, but profit excluding one-off items fell 52.6% ‌to 40.3 million yuan as Unitree increased spending on research and marketing. ($1 = 6.7488 Chinese yuan renminbi) (Reporting by Beijing Newsroom, Samuel Shen in Shanghai and Yantoultra Ngui in Singapore; Editing by Louise Heavens, Kirsten Donovan) Images (3):
	What is Unitree and why are China’s humanoid robot makers …	https://www.japantimes.co.jp/business/2…	0	Aug 16, 2026 00:00	active
What is Unitree and why are China’s humanoid robot makers racing to list? URL: https://www.japantimes.co.jp/business/2026/08/12/tech/unitree-china-humanoid-robot-makers/ Description: Unitree said its retail tranche was more than 8,000 times oversubscribed, underscoring intense investor enthusiasm in China for humanoid robotics. Content:
	Chinese humanoid robot maker Unitree powers up for stellar Shanghai …	https://finance.yahoo.com/markets/stock…	3	Aug 16, 2026 00:00	active
Chinese humanoid robot maker Unitree powers up for stellar Shanghai debut URL: https://finance.yahoo.com/markets/stocks/articles/chinese-humanoid-robot-maker-unitree-055455077.html Description: China's Unitree, the country's most high-profile humanoid robot maker, is widely expected to have an explosive stock market debut in Shanghai next week. Outside China, on private ‌share platforms such as EquityZen, UpMarket and Hiive, Unitree shares are tipped to almost triple, while on crypto exchanges Hyperliquid and Gate, derivative trades point ‌to a jump of almost four times. Such is the excitement around Unitree, whose humanoid robots have drawn global attention for their running, dancing and performing of martial arts, that its IPO was more than 8,000 times oversubscribed by retail investors, a record for Shanghai's STAR Market for tech startups. Content: Oops, something went wrong By Samuel Shen and Eduardo Baptista SHANGHAI/BEIJING, Aug 14 (Reuters) - China's Unitree, the country's most high-profile humanoid robot maker, is widely expected to have an explosive stock market debut in Shanghai next week. The only question is — how frenzied is it going to be? Outside China, on private ‌share platforms such as EquityZen, UpMarket and Hiive, Unitree shares are tipped to almost triple, while on crypto exchanges Hyperliquid and Gate, derivative trades point ‌to a jump of almost four times. Some others expect much more. Such is the excitement around Unitree, whose humanoid robots have drawn global attention for their running, dancing and performing of martial arts, that its IPO was more than 8,000 times oversubscribed by retail investors, a record for Shanghai's STAR Market for tech startups. Chinese media have also reported that lucky IPO subscribers have been approached by scalpers offering to buy its shares at 410 yuan, a 170% premium to its offering price of 150.8 yuan. Unitree's listing date is expected to be announced later on Friday. PROFITABLE AND SEEN TO HAVE STATE SUPPORT Unitree, which competes with Hyundai Motor Group-owned Boston Dynamics and Tesla, is not the first Chinese humanoid robot maker to list. Hong ‌Kong has at least two: UBTech and Dobot, while a ⁠slew of others, including Leju Robotics and Agitbot, are preparing to go public. But it is the world's biggest humanoid-robot maker by sales and the first general-purpose robotics company to debut in mainland China. Just as importantly, it's already profitable. "Unitree represents a major turning ⁠point for Chinese robotics," Jack Pearson, an investment principal at RoboStrategy, wrote in a report. It "arrives on the public market with something many humanoid companies lack: scale combined with profit." Investors are also drawn to Unitree's perceived state support as China seeks to gain the upper hand in tech over the United States and pushes development of the sector. Its founder Wang Xingxing had a coveted front-row seat at a summit with tech business leaders hosted by Chinese President Xi Jinping early last year, and the startup also has backing from some ‌of China's most influential tech firms including Tencent, Alibaba and DeepSeek. A blockbuster debut from Unitree would come just a few weeks after shares in chipmaker CXMT soared more than five times in their Shanghai debut, brightening the outlook for tech listings in the world's second-largest economy. MODEST IPO STOKES INTEREST Unitree raised a relatively modest 6.1 billion yuan ($905 million) by selling just 10% of its enlarged capital in the IPO, which has fanned expectations that investors who missed out will be eager to jump in when shares begin trading. Trading platform Hiive prices Unitree shares at roughly $62, implying a 176% upside from the IPO price, said Jeff Ko, chief analyst at CoinEx. "Every market outside the ‌regulated IPO process is attaching a substantial scarcity premium to the shares," he said, also noting that China IPOs had generated an average 233% first-day return in the first half of 2026. Other platforms point to a bigger debut. On Hyperliquid, a round-the-clock venue for leveraged bets on everything from stocks to oil, a contract linked to Unitree shares traded on a platform operated by Trade.xyz was priced ‌at around $90 early on Friday. Wen Hao, a veteran trader in China's eastern city of Hangzhou, where Unitree is based, was even more bullish, predicting the stock could jump as much as eight-fold on its maiden day. But others said investors also ran the risk of ignoring fundamentals for a sector that has still to prove itself. Unitree faces growing competition, has only a limited number of mature applications for the factory floor, and Chinese humanoid robot firms may be blocked ‌from selling in the U.S. market. "It's questionable whether the robotics sector's long-term promise justifies" the current price tag, said Jeff Mei, COO of crypto exchange BTSE. "Given that SpaceX dropped below its IPO price post-listing, even top-tier hype names are susceptible to a reality check." ($1 = 6.7428 Chinese yuan) (Reporting by Samuel Shen in Shanghai and Eduardo Baptista in Beijing; Editing by Edwina Gibbs) Images (3):
	humanoid robots: What is Unitree and why are China's humanoid …	https://economictimes.indiatimes.com/te…	10	Aug 16, 2026 00:00	active
humanoid robots: What is Unitree and why are China's humanoid robot makers racing to list? - The Economic Times URL: https://economictimes.indiatimes.com/tech/technology/what-is-unitree-and-why-are-chinas-humanoid-robot-makers-racing-to-list/articleshow/133079109.cms Description: Its G1, H1 and R1 humanoids have gone on to attract global attention through viral demonstrations showing them running, dancing and performing martial arts. The company competes âwith Tesla, Boston Dynamics and a growing field of Chinese â startups seeking to âbuild machines that can eventually work in factories and homes. Content: (Catch all the Technology News News, and Latest News Updates on The Economic Times.) ...more Popular Categories Hot on Web In Case you missed it Top Searched Companies Other useful Links Top Calculators Top Slideshow Top Story Listing Top Prime Articles Top Definitions Top Commodities Private Companies Top Market Pages Latest News follow us on Download ET App: Images (10):
	Humanoid Global Provides Update on Agility Robotics Public Listing & …	https://www.manilatimes.net/2026/07/28/…	10	Aug 15, 2026 16:00	active
Humanoid Global Provides Update on Agility Robotics Public Listing & Opens Silicon Valley AI Hub to Scale Digit Deployments \| The Manila Times URL: https://www.manilatimes.net/2026/07/28/tmt-newswire/globenewswire/humanoid-global-provides-update-on-agility-robotics-public-listing-opens-silicon-valley-ai-hub-to-scale-digit-deployments/2392684 Description: Vancouver, BC & Salem, Oregon, July 28, 2026 (GLOBE NEWSWIRE) -- Humanoid Global Holdings Corp. ('Humanoid Global” or the 'Company”) (CSE:ROBO, FWB:0XM1, OTCQB:RBOHF), a publicly traded investment issuer focused on building and accelerating a portfolio of pioneering companies in the humanoid robotics and embodied AI sector, is pleased to provide the following update regarding Agility Robotics, Inc. ('Agility Robotics” or 'Agility”), a portfolio company in which Humanoid Global holds a minority equity interest. Content: Vancouver, BC & Salem, Oregon, July 28, 2026 (GLOBE NEWSWIRE) -- Humanoid Global Holdings Corp. ("Humanoid Global” or the "Company”) (CSE:ROBO, FWB:0XM1, OTCQB:RBOHF), a publicly traded investment issuer focused on building and accelerating a portfolio of pioneering companies in the humanoid robotics and embodied AI sector, is pleased to provide the following update regarding Agility Robotics, Inc. ("Agility Robotics” or "Agility”), a portfolio company in which Humanoid Global holds a minority equity interest. Agility’s proposed public listing Agility Robotics has entered into a definitive business combination agreement with Churchill Capital Corp XI, which is expected to result in Agility becoming a publicly listed company in 2026, subject to shareholder, regulatory and other customary approvals. The transaction values Agility at a pre-money equity value of US$2.5 billion and is expected to provide more than US$620 million in gross proceeds.1 Agility intends to use the expected proceeds to fulfill existing customer orders, expand commercial deployments, scale production of its Digit v5 humanoid robot and advance its integrated robotics and physical AI platform. The Company has secured more than US$300 million in multi-year Digit v5 orders, subject to contractual milestones, and Digit has accumulated over 65,000 operating hours across commitments at nine customer facilities.2 Digit’s silicon valley ai hub Agility Robotics has opened a 60,000-square-foot Physical AI development hub in Fremont, California, to accelerate the development and deployment of Digit, its humanoid robot. The facility will support AI training, testing, and software advancement while complementing the company’s manufacturing operations and adding nearly 200 technical and field-operations roles. The expansion is intended to meet growing demand for Digit in warehouse and manufacturing environments as the company scales enterprise deployments and prepares for its planned public listing.3 Humanoid Global’s perspective "Agility’s proposed listing represents a watershed moment for the humanoid robotics category,” said Shahab Samimi, CEO of Humanoid Global. "We believe the combination of proven commercial deployments, a scaled product like Digit, and an institutional capital base positions Agility to help define what a public‑market leader in humanoid robotics looks like. As an investor focused on embodied AI and the broader humanoid ecosystem, we view this as encouraging validation of the sector’s long‑term potential.” Humanoid Global is not a party to the proposed business combination between Agility Robotics and Churchill XI and has no control over the transaction’s completion or timing. The Company will continue to monitor Agility’s progress and provide further updates to shareholders as appropriate through future communications. -##- About Humanoid Global Holdings Corp. Humanoid Global Holdings Corp. (CSE:ROBO, FWB:0XM1, OTCQB:RBOHF) ("Humanoid Global” or the "Company”) is a publicly traded investment issuer building a portfolio of pioneering companies in the growing humanoid robotics and embodied AI sector, investing in and accelerating their growth. It serves as a global investment platform providing liquidity and access to an actively managed portfolio spanning the value chain of this emerging ecosystem, including advanced software, hardware, and enabling technologies. Led by a team with a proven track record of scaling transformative technologies globally, the Company takes a long-term, partnership-oriented approach. It provides capital and strategic consultation on go-to-market strategies, regulatory pathways, and transaction advisory, while facilitating introductions to customers, suppliers, and strategic partners. Learn more: https://www.humanoidglobal.ai/ For further information, please contact: Shahab Samimi Chief Executive Officer [email protected] [email protected] (604) 602-0001 CSE:ROBO OTCQB:RBOHF FWB:0XM1 ON BEHALF OF MANAGEMENT Shahab Samimi Chief Executive Officer 1 https://www.agilityrobotics.com/content/agility-robotics-to-go-public-through-merger-with-churchill-capital-corp-xi 2 https://www.agilityrobotics.com/content/agility-robotics-to-go-public-through-merger-with-churchill-capital-corp-xi 3 https://www.agilityrobotics.com/content/agility-opens-new-fremont-facility-to-accelerate-physical-ai-development Images (10):
	Figure 03 Humanoid Robot Climbs Ladder Autonomously in New Demo	https://www.techrepublic.com/article/ne…	0	Aug 15, 2026 08:00	active
Figure 03 Humanoid Robot Climbs Ladder Autonomously in New Demo URL: https://www.techrepublic.com/article/news-figure-03-robot-autonomous-ladder-climb/ Description: Figure says its Figure 03 humanoid climbed a ladder autonomously, showcasing progress in whole-body robotic control while leaving reliability questions. Content:
	Can robots make Pakistan's sewer workers safer?	https://www.app.com.pk/national/can-rob…	10	Aug 14, 2026 16:01	active
Can robots make Pakistan's sewer workers safer? URL: https://www.app.com.pk/national/can-robots-make-pakistans-sewer-workers-safer/ Description: Every morning, somewhere in Pakistan, a sanitation worker ties his boots, picks up a rope and a bucket, and walks toward a manhole. He does not know if he will come back out the way he went in. He goes anyway, because his family needs the wage, and the city needs him more than it ever admits. Content: Every morning, somewhere in Pakistan, a sanitation worker ties his boots, picks up a rope and a bucket, and walks toward a manhole. He does not know if he will come back out the way he went in. He goes anyway, because his family needs the wage, and the city needs him more than it ever admits. Serving the nation since 1947, the national news service is transforming its operations into APP Digital to deliver accurate, objective, and uninterrupted news for a diverse audience. Images (10):
	Client Challenge	https://link.springer.com/article/10.10…	1	Aug 14, 2026 08:00	active
Client Challenge URL: https://link.springer.com/article/10.1007/s10462-026-11524-7?error=cookies_not_supported&code=5b0954ae-abd5-4769-8f97-fd38413c2c9f Content: Please enable JavaScript to proceed. Images (1):
	Seoul National University of Science and Technology Researchers Develop Energy-Saving …	https://bubblear.com/seoul-national-uni…	10	Aug 14, 2026 08:00	active
Seoul National University of Science and Technology Researchers Develop Energy-Saving TPMS Feet for Quadruped Robots – The Bubble URL: https://bubblear.com/seoul-national-university-of-science-and-technology-researchers-develop-energy-saving-tpms-feet-for-quadruped-robots/32180/ Description: Compressible 3D-printed TPMS feet, when paired with a deep reinforcement learning controller, cut power consumption by up to 6.2% SEOUL, Korea, July 31, 2026 /PRNewswire/ -- Quadruped robots, which wa Content: Compressible 3D-printed TPMS feet, when paired with a deep reinforcement learning controller, cut power consumption by up to 6.2% SEOUL, Korea, July 31, 2026 /PRNewswire/ — Quadruped robots, which walk on four legs, are increasingly used for tasks such as inspection, transportation, and search-and-rescue operations. However, their repeated leg movements consume far more energy than the rolling motion of wheeled robots, making it challenging to improve energy efficiency. One strategy to reduce energy consumption is to use springs or other elastic components in the limbs to store impact energy when the foot lands and release it during push-off. However, at low walking speeds, much of this stored energy is dissipated rather than contributing to forward motion, reducing efficiency and potentially destabilizing the robot. Addressing this challenge, Dr. Keun Park and Dr. Jung-Yup Kim at the School of Mechanical System Engineering, Seoul National University of Science and Technology, Republic of Korea, have developed porous triply periodic minimal surface (TPMS) robot feet that store and release impact energy. They paired these compliant feet with a deep reinforcement learning controller that learned how to exploit the elastic energy stored in the feet while walking. Together, the approach reduced battery power consumption by up to 6.2% at walking speeds between 0.4 and 1.0 meters per second. The study was made available online in the International Journal of Precision Engineering and Manufacturing-Green Technology on May 05, 2026. “By modulating foot stiffness and leveraging passive energy absorption and release, the proposed approach offers a practical alternative to conventional leg-mounted spring mechanisms,” says Dr. Park. TPMS metastructures are lightweight porous materials made of repeating three-dimensional networks that are stiff with excellent energy-absorbing performance. Their unique mechanical properties have led to applications ranging from airless tires to soft robotic systems such as grippers and joints. The researchers designed and 3D-printed three hemispherical TPMS foot designs—primitive, gyroid, and diamond—and evaluated their energy-storage and energy-release performance through compression tests. Out of the three designs, the diamond design with a relative density of 60% was chosen for its superior flexibility, energy absorption, and minimal energy loss. To enable the robot to benefit from the energy-storing feet, the researchers used deep reinforcement learning. The controller evaluated different walking strategies based on how much energy they consumed, while accounting for how the TPMS feet compressed and rebounded during walking. This enabled the robot to coordinate its gait with the feet’s energy storage and release, reducing the amount of work required from the motors. The researchers then tested the trained controller on the commercially available robot equipped with the optimized TPMS feet. Compared with conventional solid robot feet, the TPMS feet reduced battery power consumption by 1.4% to 6.2% across walking speeds ranging from 0.4 to 1.0 meters per second. The robot also maintained stable locomotion, demonstrating that the controller effectively exploited the passive energy stored in the compliant feet while minimizing unnecessary corrective movements. “These results demonstrate that TPMS metastructures, when properly modeled and exploited through learning-based control, can serve as effective energy-shaping components for energy-efficient quadruped locomotion,” says Dr. Kim. This strategy could help develop quieter, more energy-efficient quadruped robots for indoor service, inspection, logistics, and other real-world applications. ReferenceTitle: Energy-efficient Quadruped Robot Locomotion Via TPMS-Based Foot Design and Deep Reinforcement LearningJournal Name: International Journal of Precision Engineering and Manufacturing-Green TechnologyDOI: https://doi.org/10.1007/s40684-026-00895-5 About the institute Seoul National University of Science and Technology (SEOULTECH)Website: https://en.seoultech.ac.kr/ Media Contact:Eunjung Son82-2 – 970 – 9166[email protected] View original content to download multimedia:https://www.prnewswire.com/news-releases/seoul-national-university-of-science-and-technology-researchers-develop-energy-saving-tpms-feet-for-quadruped-robots-302839607.html SOURCE Seoul National University of Science and Technology Disclaimer: The above press release comes to you under an arrangement with PR Newswire. Bubblear.com takes no editorial responsibility for the same. © 2026 - The Bubble. All Rights Reserved. Images (10):
	Understanding the Markov decision process for reinforcement learning in robotics …	https://www.nature.com/articles/s41598-…	6	Aug 14, 2026 08:00	active
Understanding the Markov decision process for reinforcement learning in robotics perception \| Scientific Reports URL: https://www.nature.com/articles/s41598-026-64605-6?error=cookies_not_supported&code=d20a2e8b-afcc-466b-982a-723fee0bea6e Description: The application of robots has increased significantly in recent years in various sectors, including household use, surveillance, medical services, manufacturing, and logistics automation. To guarantee the efficient and secure functioning of such robots, it is essential to develop reliable control mechanisms that can adjust to evolving settings. Reinforcement learning (RL), placed between supervised and unsupervised learning, addresses learning in successive decision-making issues characterized by inadequate feedback. This paper presents a formal framework and comprehensive introduction of the Markov Decision Process (MDP), together with the description of value functions and policies. The principles and perceptions underlying MDPs are presented in this article, along with RL algorithms for calculating optimal behaviors using dynamic programming for a Q-learning-based approach. RL environments for robotics path planning are generally designed as MDPs, with the goal of learning a control strategy to maximize the total reward. Based on multiple interpretations of optimality with regard to the objective of learning sequencing decisions, the primary focus of the present paper is to provide the introduction of fundamental information of MDP-based algorithms to acquire optimal behaviors. Lastly, theoretical aspects are validated in this study with a simulation experiment using the Q-learning approach in a custom robot environment that has various obstacles at different locations. The initial and target positions are defined for the robot in the environment in the grid map. The simulation shows a rate of accuracy of 88.80% for the robot to reach the target point. Furthermore, a comparative performance analysis has been performed between Q-learning and DQN algorithms. 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 (2026) Cite this article 981 Accesses 1 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. The application of robots has increased significantly in recent years in various sectors, including household use, surveillance, medical services, manufacturing, and logistics automation. To guarantee the efficient and secure functioning of such robots, it is essential to develop reliable control mechanisms that can adjust to evolving settings. Reinforcement learning (RL), placed between supervised and unsupervised learning, addresses learning in successive decision-making issues characterized by inadequate feedback. This paper presents a formal framework and comprehensive introduction of the Markov Decision Process (MDP), together with the description of value functions and policies. The principles and perceptions underlying MDPs are presented in this article, along with RL algorithms for calculating optimal behaviors using dynamic programming for a Q-learning-based approach. RL environments for robotics path planning are generally designed as MDPs, with the goal of learning a control strategy to maximize the total reward. Based on multiple interpretations of optimality with regard to the objective of learning sequencing decisions, the primary focus of the present paper is to provide the introduction of fundamental information of MDP-based algorithms to acquire optimal behaviors. Lastly, theoretical aspects are validated in this study with a simulation experiment using the Q-learning approach in a custom robot environment that has various obstacles at different locations. The initial and target positions are defined for the robot in the environment in the grid map. The simulation shows a rate of accuracy of 88.80% for the robot to reach the target point. Furthermore, a comparative performance analysis has been performed between Q-learning and DQN algorithms. This work was financially supported by the Excellence Initiative – Research University – AGH, Action D11, Project No. 15598 of the AGH University of Kraków, Poland. Department of Mining, Industrial and ICT Engineering (EMIT), Manresa School of Engineering (EPSEM), Universitat Politècnica de Catalunya (UPC), BarcelonaTech, Manresa, 08242, Barcelona, Spain Ravi Raj Faculty of Computer Science, Electronics, and Telecommunications, AGH University of Krakow, AlejaAdama Mickiewicza 30, 30-059, Kraków, Poland Andrzej Kos Search author on:PubMed Google Scholar Search author on:PubMed Google Scholar Correspondence to Ravi Raj. 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 Raj, R., Kos, A. Understanding the Markov decision process for reinforcement learning in robotics perception. Sci Rep (2026). https://doi.org/10.1038/s41598-026-64605-6 Download citation Received: 15 January 2026 Accepted: 27 July 2026 Published: 31 July 2026 DOI: https://doi.org/10.1038/s41598-026-64605-6 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. Images (6):
	US government bans humanoid robots manufactured abroad \| The Manila …	https://www.manilatimes.net/2026/07/29/…	10	Aug 12, 2026 16:00	active
US government bans humanoid robots manufactured abroad \| The Manila Times URL: https://www.manilatimes.net/2026/07/29/business/sunday-business-it/us-government-bans-humanoid-robots-manufactured-abroad/2393689 Description: NEW YORK — US President Donald Trump's administration on Tuesday added humanoid and quadruped robots to a list of products and companies that are banned from being imported into the United States on national security grounds. Content: NEW YORK — US President Donald Trump's administration on Tuesday added humanoid and quadruped robots to a list of products and companies that are banned from being imported into the United States on national security grounds. Most humanoid robots sold in the US are manufactured abroad, particularly in China. "Advanced robotic devices" were added to the list, the Federal Communications Commission (FCC) announced Tuesday. Certain types of drones, as well as Chinese companies Huawei and China Telecom, are already on the list, which now includes what the FCC called "mobile robots" — or robots that mimic how humans and animals walk by standing on two or four legs. The decision was based on findings from a task force convened by the White House, which concluded that the foreign-built robots could create "a cybersecurity risk that threatens the security of critical infrastructure" and "the safety and security" of US residents. However, the Pentagon and Department of Homeland Security can grant exemptions. Most humanoid robots are currently used for industrial applications in confined spaces, such as automobile factories or storage warehouses. Among the examples cited by the task force was the case of French programmer Sammy Azdoufal, who reportedly accessed data from thousands of robotic vacuum cleaners made by Chinese manufacturer DJI. The decision only applies to new models and not to those already sold or authorized in the United States, and it comes against the backdrop of the Trump administration's efforts to boost domestic manufacturing. The FCC also added foreign-made inverters to the list -- devices that, among other functions, convert direct current from batteries or solar panels into standard alternating current, which can be used by the electrical grid. Several robotics companies already manufacture some humanoid robots in the United States, including Boston Dynamics, Tesla, Figure AI and Agility Robotics. South Korean automotive giant Hyundai — which announced this month that it acquired Boston Dynamics — has plans to build a robotics factory in the US that will eventually have the capacity to produce 30,000 units per year. Tesla aims to begin industrial production of its own humanoid robot Optimus soon at two US factories. The company claims it will eventually produce 1 million robots annually at the factory in Fremont, California and 10 million annually in Austin, Texas. However, Tesla's efforts will involve assembly rather than full-scale production. Buzzy startup Figure AI already assembles robots at its plant in San Jose, California, and Agility has a factory in Salem, Oregon, where it can produce up to 10,000 robots annually. A Trump administration official specified that the ban covers robots that are fully assembled, as well as those assembled on US soil with more than 35 percent of their components manufactured abroad. Images (10):
	Humanoid robots: Trump's latest China trade battle?	https://www.dw.com/en/us-china-trump-hu…	10	Aug 12, 2026 16:00	active
Humanoid robots: Trump's latest China trade battle? URL: https://www.dw.com/en/us-china-trump-humanoid-robots-ban-trade-artificial-intelligence-elon-musk/a-78181288?maca=en-RSS_en_Feedly_Business-8965-xml-mrss Description: The US has banned foreign-made humanoid robots, a market Chinese tech firms dominate. Although Washington cited national security risks, analysts think Donald Trump is buying time for US robot makers to catch up. Content: The US has banned foreign-made humanoid robots, a market Chinese tech firms dominate. Although Washington cited national security risks, analysts think Donald Trump is buying time for US robot makers to catch up. In the latest sign of China's threat to the United States's tech dominance, the Trump administration on Tuesday banned new foreign-made humanoid and four-legged robotsfrom entering the country. The Federal Communications Commission (FCC) cited "unacceptable risks" to national security for the decision. The FCC noted how the robots "collect data that could be leveraged by malign actors to surveil Americans, enhance the capabilities of foreign intelligence services, or to remotely commandeer the robots." The move is widely seen as aimed squarely at China, which accounted for 85% of humanoid robot deployments last year, according to British bank Barclays. To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video US officials warn that Chinese humanoid and quadruped (four-legged) robots can collect detailed location and personal data, be controlled remotely and pose risks for critical US infrastructure. Specific concerns center on the robots' potential dual-use — civilian and military purposes. Unitree Robotics, a leading Chinese robot maker, appears on the Pentagon's list of firms with links to the Chinese military. Its robots have been used in army exercises. Researchers have also shown that Unitree robots have security flaws that let attackers take control with a voice command and then use one robot to control others. Washington is also concerned that a large cohort of low-cost Chinese robots could feed real-world data back to Chinese artificial intelligence (AI) systems, which are fast catching up with their US rivals. The threat, however, is largely theoretical as most commercial humanoid robots are in early stages of development. China has rejected the accusations, insisting the US is using national security as a pretext for protectionism to suppress Chinese technology. Beijing is expected to impose countermeasures, which could include curbs on the raw materials US robotics firms urgently need to scale up production. The Trump administration has made no secret of its desire to help the domestic US robotics industry, which in turn supports the country's nearly trillion-dollar AI buildout. According to industry watchers, US President Donald Trump wants to ensure the likes of Figure AI, Tesla Optimus and Agility Robotics are protected from high-volume Chinese producers, whose robots often cost half the price or less of their US rivals. Washington has put similar curbs on Chinese drones and solar panels and now levies a 100% tariff on Chinese electric vehicles. The ban is widely seen as Trump's attempt to buy time, having been caught off guard by how quickly China scaled robotics production. According to Omdia, a tech research house, China has six firms in the Top 10 robotics rankings. Those firms shipped nearly 11,600 humanoids last year, versus a few hundred by US firms. In March, Bank of America forecast around 90,000 shipments by the end of this year. The US is widely seen as stronger at making a robot's brain smart through advanced AI, while China leads at mass-producing cheaper robots with bodies that move better thanks to high-performance actuators or robotic muscles. Rush Doshi, director of the Initiative on China Strategy at the Council on Foreign Relations, described the ban as "one of the most significant actions taken so far in support of the US robotics ecosystem." Evan Beard, CEO of Standard Bots, a maker of robot arms, thinks the Trump administration is sending an "unambiguous" message to China. "Robotics is a technology America must lead and own — and foreign-subsidized robots will not be allowed to unfairly dominate US robotics..." Beard wrote on X. Critics, however, think the ban could slow US AI innovation as researchers currently benefit from being able to run tests on budget-friendly Chinese robots. "Restrictions can reduce security exposure, but they do not by themselves create a competitive domestic ecosystem," Georg Stieler, an advisor to the robotics industry, wrote on X. CNBC, a US business television channel, cited Marc Einstein, a research director at Counterpoint Research, as saying the ban was "bad news for Chinese humanoid producers planning their IPOs in the coming months." Einstein warned that Beijing could now "further restrict rare earth sales to American companies and … Chinese market access for American companies like Tesla and Nvidia." To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video Barclays estimates the market, currently worth just $2 to 3 billion (€1.7 to 2.6 billion), could reach $200 billion by 2035 in the most optimistic scenario, if the robot's brains, brawn and batteries can be improved. Elon Musk is even more bullish, saying Tesla's Optimus could become "the biggest product ever" with long-term sales potentially reaching $10 trillion. At scale, he believes the robots, which currently sell for about $100,000, could eventually cost $20,000 to $30,000 each — cheap enough for factories, warehouses and later homes. Combining Barclays' forecast with Musk's target price points to roughly 7 to 10 million humanoid robots being sold each year by 2035. In the near term, humanoids are expected to take on repetitive and physically demanding jobs in warehouses and factories. Later, they could expand into health, elderly care and household chores. Edited by: Rob Mudge Images (10):
	America’s AI Trade War Moves Beyond Chips To Robots	https://www.forbes.com/sites/ronschmelz…	6	Aug 12, 2026 08:00	active
America’s AI Trade War Moves Beyond Chips To Robots URL: https://www.forbes.com/sites/ronschmelzer/2026/07/31/americas-ai-trade-war-expands-to-humanoid-robots/ Description: Washington just opened a new front in the AI trade war, targeting Chinese humanoid robots and the power systems feeding America’s data centers. Content: ByRon Schmelzer, Contributor. The U.S. has expanded its national security focus from advanced computer chips to physical AI, with the Trump administration blocking new foreign-made advanced robots and connected power inverters. The FCC placed these, primarily Chinese products, on its Covered List, citing risks like surveillance, data theft, and cyberattacks. This move reflects a shift in AI policy to "embodied AI," where physical systems like robots interact with the real world, collecting sensitive data and performing tasks. While potentially aiding American robotics firms, the restrictions could also raise costs, delay projects, and limit access to affordable components. China, a leader in robotics, has warned of retaliation, possibly leading to a fragmented global market. The long-term impact on U.S. competitiveness remains uncertain, as protection could hinder growth without robust domestic manufacturing. The Trump administration has widened America’s AI trade restrictions beyond advanced chips. The Federal Communications Commission is moving to block new Chinese made humanoid robots and connected power inverters from entering the U.S. market, citing national security risks tied to surveillance, data access and remote control. The action shows how rapidly Washington’s definition of AI infrastructure is changing. Policymakers no longer view the contest as a race over software, semiconductors and data centers alone. As AI moves into robots, factories and connected equipment, the machines that gather data and act in the physical world are starting to receive the same scrutiny as the chips that power them. This poses challenges for businesses. Will restrictions on Chinese robotics give American manufacturers the time and protection they need to scale, or will they raise costs, slow adoption and cut U.S. companies off from affordable hardware at a critical stage in the market’s development? The United States spent years trying to control the flow of advanced computer chips to China, but now Washington is now turning its attention to AI that’s coming into our borders. The rules largely target Chinese manufacturers. They cover new models of humanoid robots, four legged robots and other connected machines that combine sensors, software and wireless communications. Previously authorized products can remain on sale, though the FCC retains power to revisit those approvals. New covered devices will struggle to obtain the equipment authorization needed for commercial sale in the United States. Much of the public policy debate about AI leadership has centered on semiconductors, data centers and large language models. While those technologies supply the digital computing brainpower, it’s physical systems such as robots that give the software hands, legs, cameras and access to buildings. Besides providing autonomous and automated labor to help with various tasks, AI-powered machines can collect spatial data inside a factory. It can map equipment, observe workers, manipulate tools and send information to a remote server. Robots can perform dangerous, dirty or dull tasks that otherwise people would do such as in tunnels, warehouses, military facilities or damaged infrastructure that would be difficult for humans to reach. That makes connected robots a different security proposition from chatbots. A foreign language model may have privacy, moderation and confidentiality impacts but a networked robot has more impact on the physical space in which we live and work. It can observe a workplace, touch machinery and move through restricted space. FCC officials cited fears involving surveillance, data theft, remote interference and cyberattacks. U.S. policymakers have voiced parallel concerns about connected vehicles, drones, telecommunications equipment and Chinese made port cranes. Robotics now joins that widening category of products whose commercial functions cannot be cleanly separated from their data and communications systems. In addition, connected power inverters, which convert electricity produced by solar panels and batteries into usable current, face comparable restrictions. Congress had already been moving in this direction. A bipartisan group of lawmakers introduced the Guarding the U.S. Against Adversarial Robotics Dominance Act in June. The GUARD Act would require federal scrutiny of robots produced by China and other foreign adversaries, and prohibit imports found to threaten national security. A provision requiring the Pentagon to begin such a review later passed the House as part of its defense authorization bill. The restrictions show how Washington’s definition of AI infrastructure is changing. A few years ago, the phrase referred mainly to data centers, graphics processors and high-speed networks. The definition now reaches into power generation, industrial controls, batteries, motors, sensors and machines capable of acting on an AI model’s instructions. This reflects the broader shift in AI away from just digital systems to physical AI. AI model and infrastructure companies are racing to build models that can reason about images, sound and movement. Robot makers are pairing those systems with machines designed for warehouses, factories, hospitals and homes. This approach is known as embodied AI or physical AI. The term describes systems that learn from the real world and take action inside it. Training a robot to handle thousands of unpredictable tasks requires far more than a clever mechanical frame. It demands data from cameras and force sensors, simulation tools, control software, computing power and repeated operation in real settings. Each deployed machine can become a data collection node. A large robot fleet can produce immense records of how people, tools and industrial environments behave. That feedback loop may become one of the sector’s strongest competitive moats. The company that deploys the most robots could gather the richest operational data. Better data could produce better models. Better models could support safer and cheaper machines, which could then generate still more data. The cycle resembles the advantage that large internet platforms built from clicks, searches and social activity. This time, the raw material comes from warehouses, sidewalks and assembly lines. The International Federation of Robotics estimates that China operates about 2 million industrial robots, roughly 4.5 times the stock in Japan, the next largest market. China accounted for 54% of industrial robot installations worldwide in 2024, and its factories installed 295,000 units that year, around ten times the estimated U.S. total. Chinese manufacturers are taking a larger share of that home market too. In 2020, domestic suppliers accounted for 30% of installations. By 2024, their share had climbed to 57%, according to the federation. Beijing has made clear that it wants that momentum to continue. Its latest five year plan treats robotics as a core industrial priority and pushes AI research toward machines that can work, move and make decisions in the physical world. Today humanoid robots remain immature. Many public demonstrations involve controlled settings, trained movements or narrow tasks. Conventional industrial robots still beat humanoids on speed, precision and reliability for repetitive factory work. But in the long term, continued progress and real-world implementations matter more than the current product demonstrations. Chinese companies can draw on dense networks of battery suppliers, motor manufacturers, electronics plants and precision component makers. They can test designs against one of the world’s largest manufacturing markets. Lower production costs could let them place more machines in real workplaces, where those machines generate the data needed to improve. Unitree, one of China’s best known robotics companies, sells humanoid and quadruped robots at prices that have attracted laboratories, developers and commercial buyers abroad. In an initial public offering filing, Unitree warned that tightening U.S. restrictions could hurt overseas growth. The U.S. has represented as much as 20% of its sales during reported periods. Blocking new Chinese models could give American robotics companies breathing room. It could keep low cost foreign machines from securing early market share before domestic competitors reach volume production. But it could also deprive those same U.S. companies of affordable development platforms and Chinese made components. The big question is whether a broad country based restriction will make the American robotics sector stronger. American startups often build on global supply chains. Motors, gearboxes, batteries, sensors and electronic assemblies may come from China even when the software and final machine originate in the U.S. Cutting off finished Chinese robots may help domestic manufacturers, but cutting off key components too quickly could raise their costs. The U.S. wants to build more data centers, solar farms and battery projects to meet rising electricity demand from AI computing. Yet, restricting import and use of Chinese power electronics may raise prices or delay projects when replacement suppliers lack enough production capacity. Robot restrictions could deny American users access to inexpensive machines while China continues testing them in its own huge domestic market. Even if these import blocks may reduce exposure to remote disruption, it may impose new challenges and costs for the already overheated tech sector. China has already warned that it may retaliate against the robot and inverter measures. Beijing’s Commerce Ministry accused Washington of misusing national security and discriminating against Chinese companies. A cycle of restrictions could split the robotics market into competing technology blocs. American firms may sell inside the U.S. and allied markets. Chinese firms may expand through Asia, Africa, Latin America and the Middle East. Separate technical standards, software systems and component networks could follow. The current U.S. position treats robots and power electronics as part of the same strategic stack as advanced chips. That stack begins with electricity and computing. It extends through models, sensors, actuators and communications networks. At the far end sits a machine that can perceive its surroundings and act without constant human control. America retains deep strengths in AI research, semiconductor design, software and venture capital. China holds a significant advantage in industrial scale, component production and factory deployment. Without domestic manufacturing capacity, skilled workers, reliable component suppliers and aggressive commercial adoption, a wall around the U.S. market could protect an industry that remains too small to compete abroad. The FCC’s restrictions may buy time for American robot makers, but time will tell if this helps or hinders the U.S. market’s ability to compete locally and abroad. Images (6):
	Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart …	https://moneycompass.com.my/shanghai-el…	9	Aug 11, 2026 16:00	active
Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026 - Money Compass URL: https://moneycompass.com.my/shanghai-electric-showcases-embodied-intelligence-robot-matrix-and-ai-native-smart-factory-solutions-at-waic-2026/ Description: 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: Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios. Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture. “The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group. Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include: Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements. Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance. These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations. Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.” Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments. SOURCE Shanghai Electric 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. 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	Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart …	https://www.recnews.it/2026/07/24/shang…	10	Aug 11, 2026 16:00	active
Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026 - Rec News URL: https://www.recnews.it/2026/07/24/shanghai-electric-showcases-embodied-intelligence-robot-matrix-and-ai-native-smart-factory-solutions-at-waic-2026/ Description: Rec News direttore Zaira Bartucca Content: Codice della Strada: ecco le violazioni che costano di più agli automobilisti Leishmaniosi canina: quale prevenzione per proteggere al meglio il cane Diventare pilota di linea: l’Airline Pilot Open Day di Asteraviation Flight Academy Morto l’attore di Musk e Pulp Fiction Peter Greene. Si indaga sulle cause del decesso Aumenti per sigarette, trinciati e tabacco dal 1° gennaio 2026. Nuovi prezzi e cosa cambia per fumatori e rivenditori Anne Hathaway mostra il pancione, è polemica. L’esperto: “La gravidanza non è una malattia” Europei nuoto, oggi Martinenghi e Quadarella a caccia dell’oro – Diretta Spalletti ‘promuove’ Douglas Luiz: “Sono soddisfatto, può restare” Maltempo, allerta meteo gialla per temporali mercoledì 12 agosto: la mappa delle 4 ragioni a rischio Il ‘diavolo di sabbia’ attraversa un parco di Londra: paura tra i presenti Roma, 88enne sventa truffa del finto carabiniere: arrestata 20enne. Meloni: “Mai abbassare la guardia” Addetto alla sicurezza morto dopo lite in discoteca a Cosenza: fermate due persone All’Arena di Verona la plastica riciclata diventa un costume di alta sartoria Il verdetto del Processo a San Mauro Pascoli: ‘Repubblica Italiana colpevole di non avere mantenuto le promesse’ Art Bonus al Vittoriale per il recupero dei danni provocati dalla tempesta COSPAR 2026, i dati delle sonde THEMIS e GOES-16 sulla supertempesta solare del 2024 Siri in Cina si affiderà a Qwen di Alibaba, non a Gemini di Google iPhone Ultra, spuntano indizi sui colori: argento e blu scuro Google Drive cambia le regole del backup, come caricare le foto Spotify testa un comando per saltare la pubblicità nei podcast Lucio Tropea nuovo General Manager di Zeekr Italia Zeekr 9X debutta in Europa UNRAE, a luglio immatricolazioni +3,9% Nuova Mercedes-Benz GLA: più tecnologia, fino a 657 km di autonomia MINI Countryman Edition: la prova finale sulle Rocky Mountains Supercoppa Europea, Il Psg non si ferma e punta al bis: parigini favoriti con l’Aston Villa a 1,75 su Sisal.it Brutto stop per Marianucci: almeno 2 mesi fuori Roma-Mora: intesa raggiunta Bezos sbarca nel calcio, il fondatore di Amazon punta a una quota del Liverpool Mark Zuckerberg sfida il campione di arti marziali in mezzo a un lago, il video del combattimento L’ultima missione: Project Hail Mary — La recensione del film con Ryan Gosling che salva Hollywood Cinema, al via l’Italian Doc Screenings A Nuoro la mostra Albrecht Dürer – Maria Lai. Il respiro di un viaggio The 48 Hour Film Project, il 16 dicembre la premiazione. Tra i giurati Mark Weingarten (Top Gun), Patrice Vermette (Dune) e l’attore italiano Lillo Petrolo Roberta Scandurra dopo la vittoria a X Factor 2025: nel futuro di Rob il contratto con Warner Music e altri progetti Roberta Scandurra dopo la vittoria a X Factor 2025: nel futuro di Rob il contratto con Warner Music e altri progetti Rosalía, LUX Tour 2026: il ritorno nei palazzetti della cantante catalana. Le date MTV UK chiude i battenti: la fine di un’era per la musica televisiva Sabrina Carpenter Goes Country, il debutto al Grand Ole Opry Taylor Swift torna con “Life of a Showgirl”. Recensione esclusiva dell’album L’ultima missione: Project Hail Mary — La recensione del film con Ryan Gosling che salva Hollywood Il cinema di Quentin Tarantino. Viaggio d’autore tra pulp, citazioni, pop e controversie su Israele L’altro ispettore: ascolti tv e recensione della nuova serie di Rai 1 Sandokan torna in TV con Can Yaman: recensione della serie-evento 2025 The Neighbourhood tornano con tre nuovi singoli, un EP e un tour internazionale Lasciavano i bimbi incustoditi e senza cibo, arrestate maestre d’asilo Caldo estremo fino a Ferragosto Mini riforma del bollo auto, le novità Raid ucraino tra i più letali, Mosca: “A Zelensky non serve la pace” – Notizie dall’Ucraina podcast Angelo Bonelli sul Po in secca: “La crisi climatica aumenta le disuguaglianze, è ora di agire” COMUNICATO STAMPA – CONTENUTO PROMOZIONALE Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios. Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture. “The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group. Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include: Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements. Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance. These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations. Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.” Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments. View original content to download multimedia:https://www.prnewswire.co.uk/news-releases/shanghai-electric-showcases-embodied-intelligence-robot-matrix-and-ai-native-smart-factory-solutions-at-waic-2026-302834040.html Copyright 2026 PR Newswire. All Rights Reserved. COMUNICATO STAMPA – CONTENUTO PROMOZIONALE: Immediapress è un servizio di diffusione di comunicati stampa in testo originale redatto direttamente dall’ente che lo emette. L’Adnkronos e Immediapress non sono responsabili per i contenuti dei comunicati trasmessi — immediapress/pr-newswire Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture. “The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group. Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include: Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements. Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance. These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations. Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.” Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments. View original content to download multimedia:https://www.prnewswire.co.uk/news-releases/shanghai-electric-showcases-embodied-intelligence-robot-matrix-and-ai-native-smart-factory-solutions-at-waic-2026-302834040.html Copyright 2026 PR Newswire. All Rights Reserved. COMUNICATO STAMPA – CONTENUTO PROMOZIONALE: Immediapress è un servizio di diffusione di comunicati stampa in testo originale redatto direttamente dall’ente che lo emette. L’Adnkronos e Immediapress non sono responsabili per i contenuti dei comunicati trasmessi — immediapress/pr-newswire View original content to download multimedia:https://www.prnewswire.co.uk/news-releases/shanghai-electric-showcases-embodied-intelligence-robot-matrix-and-ai-native-smart-factory-solutions-at-waic-2026-302834040.html Copyright 2026 PR Newswire. All Rights Reserved. COMUNICATO STAMPA – CONTENUTO PROMOZIONALE: Immediapress è un servizio di diffusione di comunicati stampa in testo originale redatto direttamente dall’ente che lo emette. L’Adnkronos e Immediapress non sono responsabili per i contenuti dei comunicati trasmessi — immediapress/pr-newswire Fulmine colpisce scout su Monte Livata: grave un ragazzo Joe Biden, il figlio Hunter rivela: “Il cancro di mio padre si è diffuso alle ossa, è molto doloroso” Si tuffa e non riemerge più, militare Usa morto nel lago di Barcis: prestava servizio alla base di Aviano Eruzione Etna, l’attore Filippo Laganà: “Bloccato a Catania senza farmaci, chiesti 700 euro per arrivare a Palermo” © 2018-2026 Rec News - Lontani dal Mainstream. Copyright WEB121116. Iscrizione Registro Operatori della Comunicazione (ROC) n. 31911. - Testata online con ricavi inferiori ai 100.000 euro esente da registrazione in Tribunale (Decreto Editoria n. 63/2012 convertito con la legge 103/2012). Policy del Sito Policy del Sito Images (10):
	China's first embodied intelligence bureau inaugurated in Guangdong's Shunde	http://www.ecns.cn/cns-wire/2026-07-29/…	10	Aug 11, 2026 16:00	active
China's first embodied intelligence bureau inaugurated in Guangdong's Shunde URL: http://www.ecns.cn/cns-wire/2026-07-29/detail-ihfhvays7502369.shtml Content: (ECNS) -- Chinaâs first government agency dedicated to overseeing the entire embodied intelligence industrial chain was inaugurated in Shunde, Guangdong Province, on Tuesday, marking a new institutional approach to integrating artificial intelligence with the real economy. The Shunde Bureau of Embodied Intelligence, under Foshan City, was officially inaugurated on July 28. It is Chinaâs first government department specifically tasked with coordinating the development of the entire embodied intelligence industrial chain. Shunde is Chinaâs largest manufacturing base for industrial robots. Its robotics industrial cluster was designated a national specialized industrial cluster for small and medium-sized enterprises in 2023. By 2025, the districtâs robotics industry had reached an output value of nearly 40 billion yuan, supported by more than 100 upstream and downstream enterprises. Eight percent of Shundeâs large-scale manufacturing enterprises have completed digital transformation. The districtâs factories, smart homes and urban management systems provide natural testing grounds for humanoid robots Hai Yubao, the bureauâs newly appointed director, unveiled three initiatives: the âAI+ Industrial Restructuringâ plan to promote innovation, the â100 Smart Robotsâ plan to accelerate robot deployment and application, and the âEmbodied Intelligence Chain Reinforcementâ plan to strengthen innovation capacity and industrial supply chains. Chen Xinwen, a member of the Standing Committee of the Foshan Municipal Committee of the Communist Party of China and secretary of the Shunde District Committee, said the district will promote widespread AI literacy training and improve its industrial development platforms. (By Helen Mo, intern Xu Wenda) Images (10):
	DeepSeek made AI cheap. Now it is raising $8bn and …	https://thenextweb.com/news/deepseek-8b…	10	Aug 10, 2026 16:01	active
DeepSeek made AI cheap. Now it is raising $8bn and buying robots URL: https://thenextweb.com/news/deepseek-8bn-round-unitree-robot-stake-humanoid-ai Description: DeepSeek has reopened an $8bn funding round at a $74bn valuation and taken a stake in robot maker Unitree, days after warning of a price rise. Content: DeepSeek built its name making AI cheap. This week it hiked prices, reopened an $8bn round, and bought a robot-maker stake. DeepSeek spent early 2025 proving that a good AI model did not have to cost a fortune. This week it has been busy proving it can spend one. In a handful of days, the Chinese lab reopened a multi-billion-dollar fundraising. It took a stake in the country’s best-known robot maker. And it told customers it would charge them more. DeepSeek has restarted its second funding round, seeking close to $8bn, Bloomberg reported. The raise values the Hangzhou startup at about 500 billion yuan, or $74bn. Monolith Management, an early backer of the Chinese AI champion Moonshot, is in talks to join. The round is a restart, not a fresh start. DeepSeek paused the process last month after leaked remarks from founder Liang Wenfeng to investors caused friction. The valuation has climbed since its first external round earlier this summer. That round closed near 350 billion yuan and roughly doubled Liang’s net worth to about $36bn. The company wants to raise about as much again. Discussions are ongoing, Bloomberg cautioned, and the size, timing, and investor list can still change. What the money is for marks the real shift. DeepSeek plans to spend part of it building its own data centres, led by a large facility in Inner Mongolia. The lab that made its name on efficiency now needs its own compute. On the same day the round resurfaced, it also warned users of a significant price rise. DeepSeek is quietly rewriting its own cheap-AI story. The second move points somewhere new. DeepSeek has invested 140.8 million yuan, about $20.8m, in Unitree Robotics’ Shanghai listing, Reuters reported from a stock-exchange filing. The stake buys 2.31% of the offering’s strategic placement, with a 36-month lock-up. It reads as a commitment, not a trade. Alongside it sits a pact to jointly develop AI models for humanoid robots. The two Hangzhou firms will pair DeepSeek’s models with Unitree’s work in motion control and embodied intelligence. Each will favour the other, Unitree for training services, DeepSeek for robots. The target is the field’s hardest problem. Can a robot “brain” make sense of an unfamiliar room and turn an instruction into a reliable action? The pairing is telling. DeepSeek’s models are strong on coding, maths, and reasoning. But that strength sits in language, not in the multimodal systems that read the physical world. Its VL2 vision research was never folded into the flagship. A separate visual-reasoning project appeared and then vanished in April without explanation. Unitree offers the missing half, robots and the scarce physical-world data they generate. Unitree priced its IPO on Thursday, the payoff of a listing TNW has tracked since its earlier 50-billion-yuan target. It will raise about 6.1 billion yuan, or $904m, at a valuation near $9bn, Reuters reported. That makes it the first humanoid-robot maker to list on the mainland. Backers already include vehicles tied to Tencent, Alibaba, and China Mobile. The numbers are steep. At 150.80 yuan a share the offering carries a price-to-earnings ratio of 219. The industry average is near 39, according to Chinese outlet Cailian Press. Revenue more than quadrupled to 1.7 billion yuan in 2025, and humanoids became the biggest line. But first-quarter profit, stripped of one-offs, fell 52.6% as research and marketing costs climbed. US sales, 13.3% of last year’s revenue, sit exposed to fresh American curbs on Chinese robots. Put the three moves together and a pattern shows. The company that proved AI could be cheap is now raising billions, building data centres, and charging more. It is also buying into machines that move. DeepSeek is betting that the next phase will not be cheap at all. Whether the market that fell for the discount will pay the new price is the open question. Cristian Dina is the CRO at The Next Web. He has interviewed 300+ industry leaders and authored the book King of Networking, establishing hi (show all) Cristian Dina is the CRO at The Next Web. He has interviewed 300+ industry leaders and authored the book King of Networking, establishing himself as one of the most connected and respected voices in the ecosystem. At just 23 years old, Cristian was included in the Forbes 30 Under 30 2025 list, representing a new generation of tech builders, bold thinkers who move fast, build with purpose, and create real impact. 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. Images (10):
	Figure showcases Helix 02 powered humanoid robot cleaning a living …	https://www.notebookcheck.net/Figure-sh…	10	Aug 10, 2026 00:03	active
Figure showcases Helix 02 powered humanoid robot cleaning a living room autonomously at human speed - Notebookcheck News URL: https://www.notebookcheck.net/Figure-showcases-Helix-02-powered-humanoid-robot-cleaning-a-living-room-autonomously-at-human-speed.1246647.0.html Description: Figure’s humanoid robot is going beyond factory work and moving onto house chores. The company has released a new video that shows its robot handling household chores. Content: Figure is a US-based robot maker based in California. Its Figure 03 humanoid, powered by its proprietary Helix 02 vision-language-action AI, was recorded autonomously performing typical house chores. The robot gathered scattered toys, rearranged the couch cushions, and polished the furniture in the living room. Interestingly, the bipedal robot completed the tasks at a human pace. While the speed may look ‘unnatural’ for robots, it suggests the humanoid can clean the house without making much noise. According to Figure, the Helix 02 can interpret instructions and interact with real-world environments. The company claims Figure 03 is capable of figuring out new tasks it was not previously trained for. Tidying a living room might seem like a small task to a human. However, robots are usually deployed in structured environments like warehouses or factories, but homes constantly change. Objects in the home tend to be scattered unpredictably, creating narrow navigation spaces. In addition, softer items such as pillows or towels behave differently when manipulated. All these create unique chaos for the robot, but Figure 03 seemed to handle it well. It demonstrated that it can perform some tasks with both hands while moving around the room. However, while the demo is impressive, Figure has not claimed that the robot is ready to ship. Meanwhile, competition in the robotics sector is heating up. Honor showcased a dancing robot at the 2026 Mobile World Congress. XPeng had to strip down its own model to convince people it was not an actor in a costume. Away from entertainment, Samsung has revealed plans to introduce humanoids into its manufacturing operations. You can watch Figure 03’s demo below. Figure, Figure on Youtube Images (10):
	L'américain Figure sait désormais produire un robot humanoide toutes les …	https://www.generation-nt.com/actualite…	10	Aug 10, 2026 00:03	active
L'américain Figure sait désormais produire un robot humanoide toutes les 60 minutes URL: https://www.generation-nt.com/actualites/figure-03-production-robot-humanoide-acceleration-2074892 Description: En robotique, le passage du prototype unique à la flotte opérationnelle est un mur que beaucoup ne franchissent jamais. Figure vient de le pulvériser avec une massification qui change les règles du je Content: Si votre email correspond à un compte, vous recevrez un lien de réinitialisation. Un bond de géant. En l'espace de quatre mois, l'entreprise californienne Figure a transformé son usine de fabrication, baptisée BotQ, en un véritable métronome industriel. Le défi n'était pas mince : passer d'un rythme quasi artisanal à une cadence digne d'une chaîne de montage automobile. Cette montée en puissance s'appuie sur un logiciel de gestion de production maison orchestrant plus de 150 postes de travail interconnectés. L'objectif avoué est de créer un flux constant de machines pour nourrir l'appétit en données de son modèle d'IA, baptisé Helix. C'est ce volume qui fait toute la différence. Figure a atteint cette cadence d'un robot par heure en optimisant drastiquement sa chaîne logistique et son contrôle qualité. L'entreprise a qualifié des centaines de fournisseurs selon des critères stricts et a implémenté plus de 50 points d'inspection en cours de fabrication. Chaque robot subit également plus de 80 tests fonctionnels en fin de ligne pour garantir sa fiabilité avant expédition. C'est à la fois une question de vitesse mais aussi de rendement et de robustesse. Le taux de réussite en première passe dépasse désormais les 80 % tandis que la ligne de production des batteries atteint un score impressionnant de 99,3 %. Pour éliminer les défauts de jeunesse, chaque unité est soumise à des tests d'endurance intensifs, des « burn-in », où elle exécute des milliers de squats ou de développés-épaules. . La construction d'une vaste flotte de robots est cruciale car elle transforme chaque machine en un moteur de collecte de données. Plus Figure déploie de robots, plus elle accumule d'informations sur les interactions avec le monde réel, ce qui permet d'accélérer de manière exponentielle l'apprentissage de son intelligence artificielle Helix. C'est une boucle de rétroaction vertueuse. Chaque échec, chaque situation imprévue rencontrée par un robot sur le terrain est une leçon précieuse. Ces données permettent de bâtir des diagnostics plus robustes et de développer des « échelles de repli » logicielles, qui autorisent un robot à continuer sa tâche en mode dégradé en cas de panne non critique. En résolvant les problèmes les plus fréquents, l'équipe se concentre désormais sur la longue traîne des pannes, ces cas de figure rares qui ne se manifestent qu'après des milliers d'heures de fonctionnement cumulées. La nouvelle compétence majeure du système Helix S0 est le « contrôle du corps entier conditionné par la perception ». Concrètement, le robot n'est plus aveugle. Il utilise les images de ses caméras stéréo pour créer une représentation 3D de son environnement, ce qui lui permet d'anticiper et de s'adapter à des obstacles comme des escaliers ou un terrain accidenté, là où il fallait avant une intervention humaine. Le véritable tour de force réside dans le transfert entre la simulation et la réalité. L'IA apprend à monter des escaliers dans des milliers d'environnements virtuels, et cette compétence est directement applicable aux robots physiques, sans aucun réajustement. C'est ce qu'on appelle un transfert « zero-shot » (sans entraînement supplémentaire sur le terrain). Cette avancée fondamentale dans la robotique humanoïde ouvre la voie à une autonomie beaucoup plus large où le robot ne fait plus que sentir le sol sous ses pieds : il le voit. Avec la maîtrise de la production à grande échelle, Figure a déverrouillé le principal catalyseur de son développement : le volume. Les prochaines étapes consisteront à déployer cette flotte grandissante chez des partenaires commerciaux et dans des environnements domestiques pour collecter des données encore plus variées et durcir la fiabilité du système. L'entreprise a déjà mis en place toute l'infrastructure pour gérer cette flotte : un système de gestion à distance, des mises à jour logicielles OTA (Over-the-Air), et des processus de maintenance pour garantir que chaque unité reste à la pointe de la technologie. Le véritable goulot d'étranglement reste la vitesse à laquelle l'IA peut apprendre du monde réel. En maîtrisant à la fois le matériel et la collecte de données, Figure se positionne comme une véritable entreprise de données incarnées, la fameuse Physical AI que recherchent les entreprises IA de pointe. La discussion est réservée aux membres GNT Commencez par créer un compte ou vous identifier Copyright © 2001-2026 GNT Media, tous droits réservés Images (10):
	Figure claims new BotQ facility can make one humanoid robot …	https://interestingengineering.com/ai-r…	10	Aug 10, 2026 00:03	active
Figure claims new BotQ facility can make one humanoid robot per hour URL: https://interestingengineering.com/ai-robotics/figure-humanoid-robot-production-scale-up Description: Figure AI scales humanoid robot output 24x, shifting to mass production and boosting data for faster AI-driven droid autonomy. 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. Improved supplier quality and 50+ checks lift yields past 80 percent, with battery yield at 99.3 percent and 9,000+ actuators produced. US Robotics player Figure has rapidly scaled production of its Figure 03 humanoid robots, marking a shift from prototype to mass manufacturing. At its manufacturing facility, BotQ, in California, the company boosted output from one robot per day to one per hour—a 24-fold increase achieved in under four months. The ramp-up, supported by custom software and over 150 networked workstations, has enabled the delivery of more than 350 units. According to Figure, with improved supplier quality and rigorous inspection processes, production yields are rising steadily. The expansion is also accelerating data generation, a key factor in advancing the robots’ autonomous capabilities. Last year, Figure revealed its plans for the BotQ facility, an in-house factory dedicated to humanoid robots, targeting 12,000 units annually with plans to scale production further. Figure has transitioned its BotQ facility from prototype development to full-scale production, establishing dedicated lines for all critical modules of the Figure 03 humanoid robot. The company has achieved a one-unit-per-hour production cycle, supported by custom manufacturing software operating across more than 150 networked workstations. To improve yield and efficiency, it strengthened supplier quality through strict qualification processes and implemented over 50 in-process inspection points. As a result, end-of-line first-pass yield has exceeded 80 percent, while battery production has reached a 99.3 percent yield, with over 500 units shipped and more than 9,000 actuators produced. Each robot undergoes over 80 functional tests, including stress and burn-in exercises such as squats and jogging, to eliminate early failures. The growing fleet is accelerating development by generating large-scale data for Helix, the company’s humanoid AI model, while enabling real-world deployment across research, commercial, and domestic use cases, according to a blog by Figure. Operational scale has improved diagnostics, enabling rapid failure analysis, while software fallback systems allow robots to maintain functionality during minor faults. With high-frequency issues resolved, focus has shifted to edge-case failures. To support expansion, Figure has built internal service, fleet management, and over-the-air update systems, ensuring continuous monitoring, upgrades, and feedback integration across all deployed robots. Figure has also introduced a major upgrade to its AI model Helix System 0 (S0), enabling perception-conditioned whole-body control for its humanoid robots. P Previously, the model relied solely on proprioception—understanding joint states and body motion—limiting its ability to navigate complex environments like stairs or uneven terrain. With the latest update, S0 now integrates visual input from onboard stereo cameras, converting RGB images into a 3D spatial representation of the surroundings. This allows the robot to both “feel” and “see” the terrain it navigates. The system is trained end-to-end using reinforcement learning in simulation across diverse, randomized terrains. Notably, the learned behaviors transfer directly to real-world environments without additional calibration or fine-tuning, overcoming a long-standing sim-to-real challenge. Robots can now traverse stairs and varied surfaces with human-like stability and motion, even under changing lighting conditions. According to Figure, the advancement marks a significant step toward fully autonomous, perception-driven control systems. Beyond stair navigation, the architecture supports a wide range of environment-aware behaviors. Combined with high-volume production at BotQ, Figure is rapidly scaling its robot fleet, accelerating data collection, improving reliability, and strengthening its position in the race to deploy capable humanoid robots at scale. 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. Premium Follow Images (10):
	BMW, addio lavori pesanti: ecco Figure 03, il robot con …	https://www.hdmotori.it/bmw-robot-umano…	10	Aug 10, 2026 00:03	active
BMW, addio lavori pesanti: ecco Figure 03, il robot con le mani hi-tech - HDmotori.it URL: https://www.hdmotori.it/bmw-robot-umanoide-figure-03/ Description: Dalla collaborazione tra BMW e Figure AI nasce Figure 03: il robot umanoide di nuova generazione con mani evolute e sensori tattili per la iFACTORY Content: Dalla collaborazione tra BMW e Figure AI nasce Figure 03: il robot umanoide di nuova generazione con mani evolute e sensori tattili per la iFACTORY Il Gruppo BMW accelera sull’integrazione dell’intelligenza artificiale e della digitalizzazione nei propri processi industriali. E come? Attraverso la “Physical AI“. Cosa significa? Che la tecnologia alla quale si connette l’algoritmo digitale alle macchine e ai robot reali porterà i sistemi intelligenti come i robot umanoidi a diventare una presenza sempre più concreta all’interno dei flussi produttivi. L’ultimo passo di questo percorso si compie nello stabilimento statunitense di Spartanburg (Carolina del Sud) dove, dopo i test positivi con il modello umanoide Figure 02, è pronto a fare il suo debutto il successore di nuova generazione: Figure 03. La transizione verso la robotica umanoide all’interno delle attività quotidiane di BMW ha radici precise. Nel corso del 2025, grazie alla collaborazione con Figure AI, il modello Figure 02 è stato impiegato per dieci mesi nel reparto carrozzeria di Spartanburg, supportando la produzione di oltre 30.000 vetture BMW X3. Il robot si è occupato dell’inserimento di componenti in lamiera per le operazioni di saldatura. Un compito ripetitivo, che richiede ritmi serrati, precisione millimetrica e uno sforzo fisico notevole. I test hanno dimostrato che gli umanoidi possono operare in totale sicurezza in contesti produttivi reali. L’uso di questi sistemi rientra nella strategia di BMW per espandere l’automazione tramite la “Physical AI", intesa come un complemento di valore per i processi esistenti. Il potenziale si esprime soprattutto nelle attività monotone, ergonomicamente gravose o critiche per la sicurezza, con l’obiettivo di tutelare i dipendenti e ottimizzare l’ambiente di lavoro. I dati raccolti finora costituiscono la base per lo sviluppo di Figure 03. Come spiegato dai vertici di BMW, il nuovo modello introduce aggiornamenti mirati. Quindi componenti morbide per una maggiore sicurezza, ricarica wireless per ridurre i tempi di fermo, funzioni audio per la comunicazione vocale diretta e mani evolute con sensori tattili e telecamere integrate nel palmo per aumentare destrezza e accuratezza. A Spartanburg, Figure 03 lavorerà nella logistica. Il robot preleverà i pezzi sfusi in arrivo nei grandi contenitori per smistarli ordinatamente in un carrello di sequenziamento. Il carrello verrà poi trasferito in un punto di raccolta, da dove un trenino rimorchiatore automatizzato o un robot di trasporto intelligente (Smart Transport Robot) sposterà i componenti sulla linea di montaggio, mettendoli a disposizione degli operai secondo la logica “just in sequence". Si tratta di una procedura standard nell’automotive, con ampi margini di scalabilità. L’integrazione dei robot si inserisce nella trasformazione digitale del Padiglione 52, l’area dedicata all’assemblaggio della BMW X3 e, in futuro, della versione elettrica BMW iX5. La struttura è stata aggiornata seguendo l’approccio “BMW iFACTORY”, che prevede l’uso di applicazioni digitali nelle operazioni quotidiane. Prima che i componenti arrivino sulla linea, i processi vengono ottimizzati tramite simulazioni virtuali in 3D per prevenire gli errori. La “BMW Virtual Factory” mappa la complessità industriale e supporta gli addetti simulando i movimenti umani, affinando le procedure manuali e migliorando l’ergonomia. L’intelligenza artificiale presidia poi anche i controlli di qualità attraverso il sistema AIQX (Artificial Intelligence Quality Next). Grazie a telecamere e sensori lungo la linea, esegue ispezioni visive e acustiche in tempo reale. BMW ha standardizzato l’AIQX a livello di gruppo e valuta di estenderlo alla rete di fornitori, consentendo agli operai di ricevere feedback immediati sui propri dispositivi smart. I migliori contenuti realizzati da HDmotori, impreziositi da commenti e sintesi inediti, ogni giorno nella tua e-mail. I migliori contenuti realizzati da HDmotori, impreziositi da commenti e sintesi inediti, ogni giorno nella tua e-mail. Images (10):
	XYZ Robotics Advances Physical AI Through Real-World Data and Robot …	https://www.manilatimes.net/2026/08/05/…	10	Aug 09, 2026 16:00	active
XYZ Robotics Advances Physical AI Through Real-World Data and Robot Learning \| The Manila Times URL: https://www.manilatimes.net/2026/08/05/tmt-newswire/plentisoft/xyz-robotics-advances-physical-ai-through-real-world-data-and-robot-learning/2398325 Description: Seoul, South Korea, August 4, 2026 -- Company Secures 3,000 Real-World Data Points Daily at Café Locations Content: Seoul, South Korea, August 4, 2026 -- Company Secures 3,000 Real-World Data Points Daily at Café Locations South Korean AI robotics company XYZ Robotics Inc. (CEO Sung-Jae Hwang) is accelerating its Physical AI development by linking real-world data from commercial spaces to robot learning and field verification. Using its commercial robots and stores operated by subsidiary LoungeX as data collection hubs, XYZ Robotics feeds this information into its robot intelligence model, “BrainX,” and semi-humanoid robot, “DEUX.” XYZ Robotics has commercialized the AI robot café solution “Baris Brew,” delivery robot “STORAGY,” and building solution “RBMS.” As of May 2026, its robot barista “Baris” has produced more than one million food and beverage orders. At LoungeX stores, XYZ Robotics collects more than 3,000 real-world data points daily, covering orders, preparation, inventory handling, and voice interactions. The company has also begun gathering behavioral data from human operators’ hand movements using its proprietary device, “GloveX,” which is scheduled for external sale in late 2026. This data is trained and verified in the digital twin environment “TwinX” before being used to enhance BrainX’s performance. The improved technology is then reapplied in real-world settings, creating a cycle XYZ Robotics calls its “Physical AI Data Flywheel.” This structure underlies DEUX, a semi-humanoid robot scheduled to launch in the second half of 2026. DEUX is designed to handle tasks such as organizing shelves, transporting goods, and cleaning. LoungeX has also launched a franchise model based on “Robot Transformation,” or RX, reducing the required staff working hours to four hours per day. In March 2026, XYZ Robotics raised KRW 13 billion in a Series B funding round, bringing its total funding to approximately KRW 27 billion. The funding will be focused on DEUX hardware, BrainX development, and data infrastructure. The company is also expanding its ecosystem impact by partnering with NVIDIA on a Physical AI training program and participating in the government’s “Independent AI Foundation Model Development Project.” Based at Seoul Startup Hub Seongsu, XYZ Robotics has used the Hub’s Global Expansion Program to enter markets such as Japan and Singapore. The company has also received support from the Seoul Business Agency’s R&D program. CEO Hwang stated that competitiveness in Physical AI depends on quickly connecting real-world data to learning and field verification. He added that XYZ Robotics will continue advancing DEUX’s capabilities while expanding into both data collection and hardware collection devices. About XYZ Robotics Inc. XYZ Robotics Inc. is an AI robotics company that has developed and commercialized the AI robot café solution “Baris Brew,” the autonomous delivery robot “STORAGY,” and the integrated robot building solution “RBMS.” The company is advancing its Physical AI technology centered on its proprietary robot intelligence model, “BrainX,” and semi-humanoid robot, “DEUX.” XYZ Robotics is based at Seoul Startup Hub Seongsu. Contact Info: Name: Media Relations Email: Send Email Organization: XYZ Robotics Phone: +49 213 1663 1403 Website: https://www.xyzrobotics.com Release ID: 89199773 In case of encountering any inaccuracies, problems, or queries arising from the content shared in this press release that necessitate action, or if you require assistance with a press release takedown, we urge you to notify us at [email protected] (it is important to note that this email is the authorized channel for such matters, sending multiple emails to multiple addresses does not necessarily help expedite your request). Our responsive team will be readily available to promptly address your concerns within 8 hours, resolving any identified issues diligently or guiding you through the necessary steps for removal. The provision of accurate and dependable information is our primary focus. Images (10):
	Insights on the Nursing Robots Global Market to 2026 - …	https://www.prnewswire.com:443/news-rel…	0	Aug 08, 2026 08:00	active
Insights on the Nursing Robots Global Market to 2026 - Growing Geriatric Population is Driving the Demand for Nursing Robots URL: https://www.prnewswire.com:443/news-releases/insights-on-the-nursing-robots-global-market-to-2026---growing-geriatric-population-is-driving-the-demand-for-nursing-robots-301492868.html Description: /PRNewswire/ -- The Content:
	Alibaba's Amap Unveils Full-Stack ABot Upgrade for Embodied AI Robots …	https://moneycompass.com.my/alibabas-am…	8	Aug 06, 2026 00:01	active
Alibaba's Amap Unveils Full-Stack ABot Upgrade for Embodied AI Robots - Money Compass URL: https://moneycompass.com.my/alibabas-amap-unveils-full-stack-abot-upgrade-for-embodied-ai-robots/ Description: 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: BEIJING, July 23, 2026 /PRNewswire/ — Amap, Alibaba’s location-based services platform, has released a full-stack upgrade to its ABot embodied AI system, introducing ABot-N1, ABot-M0.5, ABot-ER, ABot-AgentOS and ABot-C0 to address key bottlenecks in embodied intelligence — AI systems that enable robots to perceive, reason and act in physical environments. The upgraded system is designed to improve navigation, manipulation, task reasoning, long-term memory and motion control, and Amap claimed the system achieved state-of-the-art (SOTA) results on 17 widely used benchmarks. With the upgrade, the ABot architecture is structured as a pioneering full-stack embodied-intelligence technology system. It connects world models, foundation models and an embodied-agent framework, allowing data from simulation training, physical interaction and memory scheduling to feed back into the system and improve performance over time. ABot-N1, a general navigation foundation model, is aimed at helping robots move through open environments. Conventional navigation maps are built for human users, who can rely on common sense to interpret routes and avoid obstacles. Robots require finer-grained spatial perception to apply such maps safely in the physical world. To address that issue, ABot-N1 uses a dual-system architecture in which a slower module handles long-range reasoning and a faster module manages real-time control. When navigation errors occur, the model can fall back on visual judgment based on the slower module’s reasoning. It also introduces a pixel-level chain-of-thought process, combining visual inputs with language-based logic to make decisions more traceable. ABot-N1 can complete city-scale autonomous navigation using navigation maps alone. In evaluations, the model led comparable systems in point-goal navigation, object-goal navigation, instruction following, point-of-interest navigation and person following, with an outdoor navigation success rate of 92.9%, according to Amap. ABot-M0.5 is a general manipulation foundation model that coordinates robot movement and object interaction. Long-horizon tasks in real environments often require a robot to move and manipulate objects across multiple steps, such as navigating to a water dispenser and filling a cup. Rather than linking movement and manipulation in a linear sequence, ABot-M0.5 separates locomotion and manipulation into two action streams and uses frame-level implicit actions to align vision, hands and movement at a finer time scale. The model also uses a training method known as “dream self-healing,” allowing it to continue generating actions from noisy visual predictions to reduce failures caused by small deviations. In RoboCasa-365 tests, ABot-M0.5 outperformed the previous state of the art by 20.4% on complex tasks and 10.6% on basic tasks. ABot-ER and ABot-AgentOS form the system’s embodied-agent layer. ABot-ER supports decision-making from perception to action, helping robots reason about relationships among objects, spaces and tasks rather than relying only on visual recognition. ABot-ER achieved SOTA results on three benchmarks and ranked first on Embodied Arena 2D-EQA, a benchmark released by multiple research institutions, as of the announcement. ABot-AgentOS is designed to turn planning into executable actions. It decouples planning, tool use, execution and verification from the robot body, and connects to different robot forms through plug-in skills. The system supports humanoid, quadruped and wheeled robots, while also providing multimodal lifelong memory across tasks and time. The memory system can be optimized based on failed task trajectories, allowing experience from previous tasks to inform future decisions. Together, ABot-ER and ABot-AgentOS convert task experience into long-term memory and decision references while preserving the security of local, private memory. Those references can then be fed back into the broader ABot system as shared assets for use by other models. ABot-C0, the motion-control component, is built to translate decisions from the ABot system into physical actions. The model builds a unified behavioral foundation for quadruped robots and supports collaboration among heterogeneous robot types. The upgraded ABot system is intended to help robots continue learning and adapting in real-world open environments. The company has released research papers for ABot-N1, ABot-M0.5, ABot-AgentOS and ABot-C0 on arXiv. Research papers: ABot-N1: https://arxiv.org/abs/2607.10383 ABot-M0.5: https://arxiv.org/pdf/2607.00678 ABot-AgentOS: https://arxiv.org/abs/2607.10350 ABot-C0: https://arxiv.org/abs/2607.07370 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 Images (8):
	Gemini Robotics 2 brings whole body intelligence to robots â …	https://deepmind.google/blog/gemini-rob…	10	Aug 06, 2026 00:01	active
Gemini Robotics 2 brings whole body intelligence to robots â Google DeepMind URL: https://deepmind.google/blog/gemini-robotics-2-brings-whole-body-intelligence-to-robots/ Description: From feet to fingertips â we are teaching robots intelligent whole-body control, fine dexterity, and teamwork to complete a broad range of complex tasks. Content: Carolina Parada From feet to fingertips â we are teaching robots intelligent whole-body control, fine dexterity, and teamwork to complete a broad range of complex tasks For decades, weâve dreamed of robots that can seamlessly step into our world and lend a hand. Now, that vision takes a significant stride forward. Most robots are pre-programmed or teleoperated for narrow, repetitive task sequences. They lack the ability to truly learn for themselves or adapt to unpredictable environments. Moreover, transferring learned skills from one robot body to another remains incredibly difficult. To take on the hardest problems at scale, robots of every shape and size need AI models giving them the ability to think, act, and interact intelligently to safely complete tasks. We demonstrated how Gemini's multimodal understanding could drive real-world action with Gemini Robotics. Today, we are introducing Gemini Robotics 2 - the intelligence layer powering the next generation of truly adaptable robots. As it takes its first literal steps, this major advance unlocks intelligent whole-body control, advanced dexterity, and multi-robot collaboration. Gemini Robotics 2 enables robots to reason through every movement, unlocking a broad range of tasks. For example, it can enable a humanoid to walk, crouch, stretch, and manipulate objects to clean up a cluttered room. It can even team up with other robots to finish the job faster. And this profound intelligence can also run locally on-device while seamlessly adapting to entirely new robotic bodies in just a few hours. We are making this possible through three highly capable models: Gemini Robotics 2 controlling three different embodiments, using the same model checkpoint â the Apptronik Apollo 2 robot with SharpaWave hands, the Apollo 2 robot with Inspire hands, and the Franka Duo with the Robotiq gripper â on a wide variety of whole-body and dexterous manipulation tasks. Each bar represents the average success rate over multiple tasks within the same skill category. For multifinger tasks we show individual task performance. While Gemini Robotics 2 achieves a medium to high success rate for whole-body and gripper-based dexterous tasks, the multi-finger dexterous manipulation remains challenging. Gemini Robotics ER 2, our reasoning model, is now available on Google AI Studio and in private preview on Gemini Enterprise Agent Platform. Our VLA and On-Device models are available to early-access partners. Read how to bring these models to your hardware on our Developer blog. The world is built for human movements; it requires us to reach, bend, and balance in tight, cluttered spaces. While our previous models controlled the humanoidâs upper-body to achieve table-top tasks, Gemini Robotics 2 expands physical AI into whole-body motions. For the first time, our model can now control entire humanoid robots, translating intent into intelligent whole-body control. For example, when controlling Apptronikâs Apollo 2 humanoid robot, we can ask it to âput the watering can into the green bin in the bottom shelf.â Apollo processes the instruction, walks to the table, and picks up the watering can, takes a few steps to the shelves, and places it precisely in its destination. While our robots have more to advance in movement speed, this is an important step towards the skills needed to complete more complex, real-world tasks that require whole-body coordination. To be genuinely useful in our homes and workplaces, robots need finesse. Gemini Robotics 2 unlocks a new level of physical dexterity across different end effectors, whether a robot is using hands or grippers, enabling robots to be more useful than ever before. The model can now control the five-fingered, 22 degree-of-freedom SharpaWave hand on the Apollo 2 robot to complete delicate actions like tying knots or sealing a ziplock bag. It can also operate standard two-fingered parallel grippers on a Franka Duo platform to perform complex dexterous tasks (e.g. tight packing). We are continuing to advance the level of precision and speed to achieve human-level dexterity. Most real-world tasks require multiple steps over an extended period of time. To manage this complexity, our embodied reasoning (ER) model, Gemini Robotics ER 2, serves as the robotâs high-level brain, processing user instructions and communicating with humans. It observes the room, reasons about the steps needed to complete the task, coordinates with the VLA to carry out the actions, and tracks progress until the task is done. This setup allows robots to execute complex multi-step tasks, self-correct if a step fails, and generalize to novel situations and goals. In this update, we are enabling robots to more reliably execute longer task sequences, lasting several minutes and involving hundreds of decisions. Gemini Robotics ER 2 now understands when tasks begin and end, and can pinpoint the moment key events occur, marking a step change in progress understanding. Furthermore, we are introducing multi-robot collaboration. This enables different types of robots to communicate and work together to solve complex workflows a single robot could not do alone. Many robotic applications need to operate without network latency or internet connectivity. Gemini Robotics On-Device 2 is built specifically to handle these constraints â it is our most-efficient vision-language-action model (VLA) optimized to run locally on robotic devices. This model is natively multi-embodiment and inherits our advanced âmotion transferâ techniques from Gemini Robotics 1.5. We can now adapt to new bi-arm robot embodiments with just a few hours of adaptation time, typically with less than 200 examples. This works even with new embodiments with drastically different shapes, sensors and degrees of freedom, as shown below with a diverse set of tasks being performed by the Dexmate, SO101, and Trossen platforms. Safety is foundational to our robotics research. As robots gain more physical capabilities, we are committed to ensuring end-to-end safety and alignment. With each release, weâve taken a multi-layered approach that combines traditional physical safety measures with robust AI safety frameworks. Gemini Robotics 2 specifically advances robotics safety for navigating the uncertainty of the real world and collaborating alongside humans. Weâre introducing ASIMOV-Agentic, a new benchmark for agentic safety orchestration and uncertainty resolution. For example, it measures the embodied reasoning agentâs ability to refuse unsafe tool calls from a VLA.It also measures the agentâs ability to predict whether a task is possible and to proactively request human intervention when uncertain. Additionally, with enhanced embodied reasoning, Gemini Robotics ER 2 is our safest robotics model to date in safety constraint following and human proximity benchmarks. It can better detect when humans are nearby, trigger safety tool calls and bring the robot to a safe stop if someone approaches too closely. This is a key requirement in collaborative safety standards. Read our Gemini Robotics 2: Safety Technical Report for more details. Gemini Robotics 2 marks an important milestone on the path toward solving AGI in the physical world. Unlocking the true potential of robotics requires moving past single-task automation toward general-purpose intelligence. By building this core intelligence, our goal is to enable AI in the physical world that can work alongside humans to solve complex challenges. Explore Gemini Robotics 2 AcknowledgementsThis work was developed by the Gemini Robotics team: Abhijit Ogale, Abhishek Jindal, Adil Dostmohamed, Adrian Collister, Alan Thompson, Alessio Quaglino, Alex Bewley, Alex Hofer, Alex Taeho Kim, Alex X. Lee, Alex Zihao Zhu, Allen Chai, Amaris Paryag, Amit Hampaul, Amy Nommeots-Nomm, Amy Shen, Andre Araujo, Anirudha Majumdar, Anna Volosina, Annie S. Chen, Annie Xie, Anthony Brohan, Antoine Laurens, Arunkumar Byravan, Asaf Revach, Assaf Hurwitz Michaely, Baruch Tabanpour, Ben Moran, Benoit Landry, Bingyi Cao, Bogdan Mazoure, Brandon Hernaez, Brijen Thananjeyan, Bryan Anenberg, Caden Lu, Carl Doersch, Carolina Parada, Charles Shu, Chengda Wu, Christine Chan, Christy Koh, Chuyuan Fu, Claire Cui, Clare Lee, Claudio Fantacci, Connor Schenck, David Rendleman, Deepali Jain, Demetra Brady, Dennis Li, Dhruv Shah, Dimple Vijaykumar, Dirk Ehrlich, Divya Garikapati, Dmitry Kalashnikov, Dre Mahaarachchi, Dushyant Rao, Erik Frey, Fangchen Liu, Francesco Romano, Frankie Garcia, Gabor Simko, Gautam Salhotra, Giulia Vezzani, Grace Popple, Grace Vesom, Graziano Misuraca, Guangyao Zhou, Hagen Soltau, Hanzi Mao, Hao-Tien Lewis Chiang, Harris Chan, Hila Noga, Howard Zhou, Ian Storz, Idan Lev-Yehudi, Ignacio Rocco, Inessa Konstanz, Isaac Reid, Ishita Prasad, Ivan Kapelyukh, J. Chase Kew, Jacky Liang, Jake Varley, James Susilo, Jasmine Hsu, Jerad Kirkland, Jeremy Plassmann, Jessica Lo, Jie Tan, Jimmy Yan, Jingwei Zhang, Jinyu Xie, Jose Enrique Chen, Joshua Ainslie, Joss Moore, Juanita Bawagan, Junkyung Kim, Justin Lidard, Kanishka Rao, Kathryn Quinn Shea, Kaustubh Sridhar, Keerthana Gopalakrishnan, Ken Caluwaerts, Kenneth Oslund, Khimya Khetarpal, Konstantinos Bousmalis, Krista Reymann, Krzysztof Choromanski, Ksenia Konyushkova, Kun Zhang, Kunal Aneja, Laura Graesser, Leen Verburgh, Leonard Hasenclever, Li-Heng Lin, London Chappellet-Volpini, Lucie Kerley, Maria Attarian, Maria Bauza Villalonga, Marissa Giustina, Max McCabe, Meet Kirankumar Dave, Mehdi S. M. Sajjadi, Metin Toksoz-Exley, Michael Neunert, Michael Noseworthy, Michiel Blokzijl, Miguel Rivas, Mithun George Jacob, Mitsuhiko Nakamoto, Mo Dawoud, Mohan Kumar Srirama, Mohit Sharma, Mohit Shridhar, Muinat Abdul, Murilo F. Martins, Nathan Batchelor, Nicolas Heess, Niko Milonopoulos, Norman Di Palo, Oliver Groth, Ouais Alsharif, Padmini Copparapu, Parth Parekh, Paul Ruiz, Paul Wohlhart, Peide Huang, Peng Xu, Peter Pastor, Petko Yotov, Phil Duffy, Philemon Brakel, Rachel Sterneck, Rajkumar Vasudeva Raju, Ravin Kumar, Razvan Surdulescu, RenÃ© Wagner, Reza Sanatinia, Robert Baruch, Robert Moreno, Rohan Thakker, Roland Hafner, Sajjad Zafar, Sally Jesmonth, Sam Haves, Saminda Abeyruwan, Sandy Han Huang, Scott Crowell, Seliem El-Sayed, Sergey Yaroshenko, Sergio Martinez Abad, Serkan Cabi, Sharath Maddineni, Shuang Li, Sichun Xu, Silvia Cruciani, Skanda Koppula, Skye Yang, Soo Sung, Stefan Welker, Stefani Karp, Stefano Saliceti, Steven Hansen, Stuart Bowers, Sumeet Singh, Svetlana Grant, Takahiro Miki, Takuma Yoneda, Thomas Buschmann, Thomas Lampe, Thomas Power, Thor Schaeff, Tim Hertweck, Tingnan Zhang, Todd McInally, Todor Davchev, Tong Zhao, Travers Rhodes, Tsang-Wei Edward Lee, Vika Koriakin, Vikas Sindhwani, Wenhao Yu, Wentao Yuan, Xiaolin Fang, Yahav Nussbaum, Ying Sheng, Ying Xu, Yuheng Kuang, Yuxiang Yang, Yuxiang Zhou For their leadership and support of this effort, weâd like to thank: Jean-Baptiste Alayrac, Zoubin Ghahramani, Koray Kavukcuoglu and Demis Hassabis. Weâd like to recognize the many teams across Google and Google DeepMind that have contributed to this effort including Legal, Marketing, Communications, Responsibility and Safety Council, Responsible Development and Innovation, Policy, Strategy and Operations, and our Business and Corporate Development teams. Weâd like to thank everyone on the Robotics team not explicitly mentioned above for their continued support and guidance. Finally, weâd like to thank our partners: Apptronik, Boston Dynamics, and Agile Robots teams for their support. I accept Google's Terms and Conditions and acknowledge that my information will be used in accordance with Google's Privacy Policy. Images (10):
	Kobe Steel invests in Noetra for Japan multimodal AI project …	https://jp.ibtimes.com/kobe-steel-inves…	10	Aug 06, 2026 00:01	active
Kobe Steel invests in Noetra for Japan multimodal AI project \| IBTimes JP URL: https://jp.ibtimes.com/kobe-steel-invests-noetra-japan-multimodal-ai-project-102917 Description: Kobe Steel joined Noetra's domestic multimodal model initiative under a METI and NEDO-backed program focused on physical AI and sensitive data security. Content: Kobe Steel has invested in Noetra Inc., a Japanese startup developing domestic multimodal foundation models, and joined the company's initiative, the steelmaker said on July 22. The investment gives Kobe Steel participation in Noetra's research and development effort for a Japan-developed multimodal foundation model. The model is intended to handle multiple types of data, including images, video, audio and sensor information, which the companies position as a core technology for "physical AI" applications in which robots and industrial equipment make autonomous decisions and act in real-world environments. Kobe Steel said the project is being carried out as part of a national program promoted by Japan's Ministry of Economy, Trade and Industry and NEDO, the government-backed New Energy and Industrial Technology Development Organization. Japan has been stepping up efforts to develop domestic technology in strategically sensitive sectors, including artificial intelligence, amid concerns over data sovereignty and economic security. Noetra is working on a domestic multimodal foundation model at a time when global competition in AI development is intensifying. Kobe Steel said the investment is meant to support the secure use of sensitive data under systems developed and managed in Japan. Kobe Steel said it sees physical AI and the domestic multimodal model underpinning it as relevant to challenges across its businesses, including equipment operations and manufacturing sites. The KOBELCO group operates across materials, machinery and electric power. The company linked the investment to its current medium-term management plan for fiscal 2024 to 2026, under which it is pursuing a transformation program called KOBELCO-X aimed at becoming a more attractive company. The Noetra initiative is intended to deepen existing businesses, create new value and strengthen the competitiveness of the group as a whole. Under that medium-term plan, Kobe Steel has set a return on invested capital target of about 6%, with an 8% goal under favorable conditions. The company also plans total investment of about 830 billion yen ($5.09 billion) over fiscal 2024 to 2026, including about 170 billion yen for carbon-neutrality measures, about 120 billion yen to strengthen earnings capacity, about 70 billion yen for growth initiatives, about 60 billion yen for human capital, and about 410 billion yen for rationalization and renewal investments, including DX. USD/JPY rate used: 163. Kobe Steel, also known as KOBELCO, is one of Japan's major industrial groups, with businesses spanning steel, aluminum, welding, machinery and power generation. NEDO has long served as a key channel for Japanese government support of industrial technology development, including energy, manufacturing and digital technologies. © Copyright 2026 IBTimes JP. All rights reserved. Images (10):
	Bioinspired robots edge closer to matching nature's versatility	https://interestingengineering.com/ai-r…	10	Aug 06, 2026 00:01	active
Bioinspired robots edge closer to matching nature's versatility URL: https://interestingengineering.com/ai-robotics/bioinspired-robotics-the-future-of-robots-that-can-walk-fly-swim-and-climb Description: New research explores bioinspired multimodal robots and the engineering advances bringing animal-like mobility closer. 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. New framework proposes five metrics to measure multimodal robots’ versatility, efficiency, mode-switching, and overall performance gains. Bioinspired multimodal robots that can switch between different forms of movement, such as flying, walking, swimming, or climbing, are rapidly advancing toward matching the versatility of animals. The study highlights how researchers are developing robots capable of adapting to changing environments by combining multiple modes of locomotion in a single machine. It also outlines the key engineering challenges, including limited onboard space and body transformations required for seamless movement, and proposes five performance metrics to evaluate these systems. The framework aims to guide the development of more capable, efficient, and adaptable next-generation robots. Bioinspired multimodal robots—machines capable of switching between multiple forms of movement such as walking, flying, swimming, climbing, or jumping—are rapidly advancing toward the agility and adaptability seen in nature, according to a new review. The new study led by researchers at Beihang University, Dalian University of Technology, and EPFL examines the evolution of bioinspired multimodal robots, the engineering challenges limiting their development, and a new framework for evaluating their performance. Unlike conventional robots that use a single form of locomotion, multimodal robots combine two or more movement modes, such as walking, flying, or swimming, on one platform. The field has evolved from combining separate mechanisms to creating integrated, animal-inspired systems that use shared structures and intelligent control for greater adaptability and efficiency. According to the review, the main goal of multimodal robotics is not merely to add more movement options but to improve overall performance in challenging environments. A robot that can both fly and walk, for example, can use flight for rapid long-distance travel before switching to walking for precise inspection on the ground. Similarly, amphibious robots can transition between land and water to perform search-and-rescue operations, environmental monitoring, or underwater exploration. The study identifies several major engineering challenges that must be overcome to make these robots practical. One of the biggest obstacles is limited onboard space, as every additional movement mode requires actuators, sensors, batteries, and mechanical components that increase size and weight. Components useful in one mode can become dead weight in another, reducing efficiency. Another challenge is body morphing—the ability to physically reconfigure the robot’s structure to support different types of movement. Designers must also balance stiffness and flexibility, integrate different actuation systems, and ensure that multiple locomotion modes work together rather than interfere with one another. To address the lack of standardized evaluation methods, the researchers propose five performance metrics for multimodal robots. These measure the number of movement modes a robot possesses, the additional cost of adding new capabilities, how many components can be shared across different modes, the time or energy required to switch between modes, and the overall performance gains achieved by combining multiple forms of locomotion. The review also examines emerging design strategies that could improve future robots. Soft materials and flexible structures allow robots to deform and adapt to their surroundings, while structure repurposing enables the same components to perform multiple functions. Another promising approach is multirobot architecture, in which teams of simple robots cooperate to achieve multimodal capabilities collectively. On the software side, the researchers note that conventional planning and control algorithms struggle with the dramatic changes in dynamics that occur when robots switch movement modes. They argue that advances in reinforcement learning, vision-language-action models, world models, and physically intelligent robot bodies will be essential for enabling seamless transitions and autonomous decision-making in complex environments. Looking ahead, the authors envision multimodal robots that tightly integrate adaptive hardware with AI-driven perception, planning, and control. Achieving this will require advances in materials, high-performance actuators, sensors, and learning algorithms capable of handling unpredictable real-world conditions. If these challenges can be overcome, the researchers argue, future bioinspired multimodal robots could not only match the versatility of animals but, in some applications, surpass their natural counterparts. 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. Premium Follow Images (10):
	Unitree IPO Finally Puts A Real Price On Profitable Humanoid …	https://www.zerohedge.com/ai/unitree-ip…	10	Aug 05, 2026 16:00	active
Unitree IPO Finally Puts A Real Price On Profitable Humanoid Robots<!-- --> \| ZeroHedge URL: https://www.zerohedge.com/ai/unitree-ipo-finally-puts-real-price-humanoid-robots Description: ZeroHedge - On a long enough timeline, the survival rate for everyone drops to zero Content: Chinese robotics maker Unitree formally launched its IPO on Shanghai's STAR Market on Thursday, opening the books on a deal that aims to raise about 4.2 billion yuan (roughly $618 million) at an implied valuation near 42 billion yuan ($5.9 billion). Once the shares start trading, the listing will put a real, daily market price on a profitable humanoid-robot maker operating at scale - the first the sector has had. Until now, humanoid robotics companies have been raising capital based on numbers nobody could really challenge since nobody has had to actually clear a market. So far we have Figure AI sitting on a $39 billion private valuation, and a clutch of Chinese rivals each pushing past $3 billion in the primary market. A public listing swaps the euphoria of those private rounds for the discipline of a secondary one. Regulators approved the registration in early July after a review that took roughly 104 days from acceptance, one of the fastest STAR Market clearances on record. Observers have linked the speed directly to Beijing's push to channel capital toward strategic robotics and AI champions. That said, Unitree has been designated a Chinese military company in the US, and Washington is weighing action against subsidized Chinese robotics imports even as the machines turn up for sale on Amazon. Unitree makes an unusually clean test case because unlike most of its peers, it actually turns a profit. The company reported 2025 revenue of about 1.7 billion yuan and adjusted profit around 591 million yuan - a net margin north of 35 percent that, in a field defined by cash burn, is close to an anomaly. It shipped more than 5,500 humanoid robots last year, more than any other company globally, alongside cumulative quadruped sales above 33,000 units. Overseas revenue has consistently run past 40 percent of the total. Founder and chief executive Wang Xingxing controls roughly a third of the business. The prospectus earmarks the proceeds for robot "brains" and model research, robot bodies, new products, and a manufacturing base. The rest of the field looks nothing like it. UBTech, which is pursuing its own A-share listing, has put its Walker S humanoid through more than 50,000 hours of training on BYD production lines but keeps running losses. It just launched a consumer-grade bionic robot priced as high as 990,000 yuan (about $146,000) in a bid to crack the home market. Overseas, Tesla's Optimus is slated to reach mass production this year. Every player in the space has a demo reel and a private valuation nobody has to defend. Unitree is about to have a share price that trades every day and settles the argument in public. Whatever Unitree prints when it debuts becomes the benchmark for the entire "embodied intelligence" trade. Assistance and Requests: Contact Us Tips: tips@zerohedge.com General: info@zerohedge.com Legal: legal@zerohedge.com Advertising: Contact Us Abuse/Complaints: abuse@zerohedge.com Make sure to read our "How To [Read/Tip Off] Zero Hedge Without Attracting The Interest Of [Human Resources/The Treasury/Black Helicopters]" Guide It would be very wise of you to study our privacy policyand our (non)policy on conflicts / full disclosure.Here's our Cookie Policy. How to report offensive comments Notice on Racial Discrimination. Images (10):
	Elite Robots Collaborates with Generalist AI on Next-Gen Embodied AI …	https://www.manilatimes.net/2026/07/21/…	10	Aug 05, 2026 00:01	active
Elite Robots Collaborates with Generalist AI on Next-Gen Embodied AI \| The Manila Times URL: https://www.manilatimes.net/2026/07/21/tmt-newswire/pr-newswire/elite-robots-collaborates-with-generalist-ai-on-next-gen-embodied-ai/2388120 Description: Elite Robots Collaborates with Generalist AI on Next-Gen Embodied AI Content: SHANGHAI, July 21, 2026 /PRNewswire/ -- US-based AI startup Generalist AI—founded by ex-Google DeepMind scientists and backed by NVIDIA NVentures—recently unveiled GEN-1, its latest embodied foundation model achieving a 99% task success rate and a 3x speed increase. As part of this breakthrough project, Elite Robots collaborated with Generalist AI to support real-world data collection and algorithm validation on its cobot platform. Key Highlights from the Collaboration: Industrial-Grade Reliability: Delivered flawless, zero-intervention performance (1,800+ block stackings, 200+ box foldings) backed by 100,000-hour MTBF and ±0.02mm repeatability. 3x Trajectory Acceleration: Smooth, jitter-free servo control accelerated model iteration while maintaining predictable physical interactions. Real-Time Adaptability: Features a 360° motion range and sensitive force feedback, enabling GEN-1 to instantly correct unexpected execution errors. Global Technical Support: Backed by Elite Robots 24/7 technical network and local US team to support ongoing research and commercial deployment. As the "ChatGPT moment" for robotics arrives, Elite Robots continues to partner with global innovators to build robust hardware solutions for embodied AI. (Picture and data referenced from: Generalist AI Team, "GEN-1: Scaling Embodied Foundation Models to Mastery", Generalist AI Blog, Apr 2026) Images (10):
	China's national AI application pilot base accelerates embodied intelligence deployment	http://www.ecns.cn/cns-wire/2026-07-30/…	10	Aug 05, 2026 00:01	active
China's national AI application pilot base accelerates embodied intelligence deployment URL: http://www.ecns.cn/cns-wire/2026-07-30/detail-ihfhvays7503730.shtml Content: (ECNS) -- A national-level pilot base for embodied intelligence applications in Hangzhou is accelerating the deployment of embodied intelligence robots across various sectors. "It's like a kindergarten for robots," said Zhou Chen, CEO and co-founder of DexRobot. "We need to give robots basic capabilities first, then improve them step by step." The facility, officially known as the National Pilot Base for Embodied AI Applications, is dedicated to embodied intelligence under China's "AI+" strategic framework. To meet the data demands of robot training, the Hangzhou Embodied Intelligence Exhibition and Application Promotion Center serves as the base's flagship demonstration facility. It currently houses over 140 embodied intelligent robots across nearly 40 application scenarios and about 20 data collection scenarios. The base is also helping companies refine practical solutions. One firm is developing a fully automated smart kitchen that requires robots to handle autonomous movement, operation, and interaction. After training at the base, the robots can now cook dishes such as vegetables and pork ribs. Yang Jiandang, co-founder of the company and deputy director of the base's robot perception and learning lab, said the base provides crucial scenario-building and technical support, addressing the high costs and lack of a viable test environment for early-stage development. The base also provides public technical services covering computing power, data access and model validation. The city has earmarked over 100 million yuan (about $13.9 million) annually for three consecutive years to support AI development. In 2025, Hangzhou's AI core industry generated 460 billion yuan (about $64.1 billion) in revenue, up 23.1% year on year. (By Tang Yuxian) 108-arm cotton-topping robot boosts efficiency in Xinjiang Humanoid robot football tournament showcases Beijing's push for 'AI plus education' Hefei builds 'custom factory' for robot components Images (10):
	The US government just blacklisted foreign-made robots and power inverters …	https://www.digitaltrends.com/computing…	10	Aug 04, 2026 16:00	active
The US government just blacklisted foreign-made robots and power inverters - Digital Trends URL: https://www.digitaltrends.com/computing/the-us-government-just-blacklisted-foreign-made-robots-and-power-inverters/ Description: The FCC added foreign made humanoid robots, quadrupeds, and power inverters to its Covered List over national security concerns. Here's what actually changes. Content: Months after banning all foreign routers and subsequently approving some of them in weeks, the FCC is back at it again, and this time robots and power inverters are in its crosshairs. The Federal Communications Commission has added two new entries to its Covered List, and this time the targets are advanced robots and power inverters made outside the US. The move follows a White House-led security review that flagged both categories as genuine risks to national security. We are talking about mobile robots like humanoids and quadrupeds, along with the connected power inverters used across the US power grid. According to the agencies behind the decision, these devices could open the door to supply chain vulnerabilities and cybersecurity threats aimed at America’s critical infrastructure. Going forward, new models of foreign-made advanced robots and power inverters will not be able to get FCC equipment authorization, which is the green light every device needs before it can be sold, imported, or marketed in the US. Manufacturers do get one escape hatch, though. If the Department of War or the Department of Homeland Security grants a company “Conditional Approval,” their devices can still go through the FCC’s approval process. The short answer is no. The FCC made it clear that this only applies to new device models going forward. If you already own an affected robot or inverter, you can keep using it, and retailers can keep selling existing approved models. Purchases and use by the federal government are also completely untouched. FCC Chairman Brendan Carr backed the decision, saying he welcomes the move and sees it as the Commission staying in step with the national security agencies working to protect America’s supply chain. This is the latest in a string of FCC actions targeting foreign-made tech, following similar restrictions on drones and consumer routers earlier this year. Robots and inverters are just the newest names on a growing list, and it probably won’t be the last. Entering into a meeting with your boss and several familiar coworkers inside a video conference is the next area vulnerable to cybercrimes, and it's all because of deepfake technology. Researchers at the Fraunhofer Institute for Secure Information Technology SIT are working on a real-time warning system designed to identify attempted fraud during corporate video conferences. The report states that criminals are increasingly targeting video meetings for identity theft and financial scams, taking advantage of the trust people place in familiar faces and voices. The intention is to flag suspicious activity while the meeting is still taking place. This gives an employee a chance to stop before following an expensive instruction from an AI-generated executive. Copying something on an iPhone and pasting it onto a Windows PC should be one of the least remarkable features imaginable. While this simple process seems effortless between an iPhone and Mac, Windows users are still left waiting. Now, Microsoft is formally asking Apple to provide interoperable clipboard access through the company’s European Union interoperability process. The request, submitted on March 25, argues that iOS restrictions prevent third-party platforms from creating an experience comparable to Apple’s Universal Clipboard. Apple has now reached Phase III and committed to developing a solution. Google is preparing to add extension review links directly inside Chrome, putting feedback closer to the menus people already use to manage their add-ons. A Chromium change, first spotted by Windows Report, points to review options in the Extensions menu, the chrome://extensions management page, and extension context menus. Only eligible Chrome Web Store extensions in good standing would qualify, and the feature is still under development. 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. Images (10):
	SoftBank is reportedly weighing a deal for Swiss robotics startup …	https://thenextweb.com/news/softbank-gr…	10	Aug 03, 2026 16:00	active
SoftBank is reportedly weighing a deal for Swiss robotics startup Gravis URL: https://thenextweb.com/news/softbank-gravis-robotics-deal Description: SoftBank is said to be weighing a deal with Gravis Robotics, the ETH Zurich spinout making excavators drive themselves. Terms are undisclosed. Content: Gravis Robotics, an ETH Zurich spinout, fits autonomy kits to excavators. A tie-up would extend Masayoshi Son’s robotics buying spree from the factory floor to the building site. SoftBank is weighing a deal for Gravis Robotics, a Swiss startup that fits excavators and diggers with the sensors and software to run themselves, according to Bloomberg. The report did not spell out the shape of any transaction, and the size, structure, and valuation were not disclosed. The discussions appear to be at an early stage, and there is no guarantee they lead anywhere. What they do signal is where SoftBank is looking next. Masayoshi Son’s group has spent the past year assembling a robotics portfolio at speed, from an $800mn round it is reportedly circling for Agile Robots to smaller bets on the kind of autonomy kits that bolt onto existing machinery. The 💜 of EU tech The latest rumblings from the EU tech scene, a story from our wise ol' founder Boris, and some questionable AI art. It's free, every week, in your inbox. Sign up now! Gravis Robotics spun out of ETH Zurich in 2022, from the Swiss university’s Robotic Systems Lab. Rather than build a robot from scratch, it retrofits standard heavy equipment, attaching a kit that fuses LiDAR, cameras, GNSS positioning, and hydraulic sensors so an ordinary excavator can trench, grade soil, and manage stockpiles on its own. The company says the approach can lift site output by roughly 30%. The kit has a name, or two. The hardware, Gravis calls Rack; the operator controls it through a tablet interface named Slate that switches between autonomous and manual modes. The pitch is that a machine can be taught to feel the soil through its hydraulics rather than follow a fixed programme. It is run by chief executive Ryan Luke Johns, an architect turned roboticist, alongside chief technology officer Dominic Jud and co-founder Marco Hutter, an ETH robotics professor. Johns and Jud hold a Guinness World Record together for the largest robot-built dry-stone wall, which tells you something about the company’s temperament. In November 2025 the startup raised $23mn in a round co-led by IQ Capital and Zacua Ventures, with Pear VC, Sunna Ventures, and cement group Holcim among the backers. By its own account, Gravis now has machines working on active sites across seven countries. Its customer list, per the company’s own announcements, includes contractor Taylor Woodrow, which used the technology at Manchester Airport, plant-hire firm Flannery, and Holcim, which runs it in quarries. Those claims come from Gravis and have not been independently audited. For SoftBank, construction is a logical extension of a much larger thesis. The group agreed last October to buy ABB’s robotics division for $5.4bn, and a four-bank syndicate only finished putting together the roughly $1.75bn loan behind that purchase this week. It is also selling its remaining stake in Boston Dynamics to Hyundai, tidying up an older robotics bet even as it places newer ones. The Gravis talks, if real, would join a run of similar moves. SoftBank led Agile Robots’ 2021 financing, the round that made the Munich firm Germany’s first robotics unicorn, and is now said to be anchoring a fresh $800mn raise there. Earlier in 2025 it put $500mn into Skild AI, a startup building a general-purpose model to control robots. The common thread is machines that do physical work, and software good enough to run them. Son’s pitch is that artificial intelligence has matured in software and the next frontier is giving it a body. SoftBank is reportedly preparing a US-based AI and robotics vehicle, provisionally called Roze, that it hopes to float at a $100bn valuation. The wider market has moved with him, with global robotics investment more than doubling to $27.6bn in 2025, the year of record rounds for firms such as NEURA Robotics. A digger that drives itself is a less photogenic proposition than a walking humanoid, but it may be a more immediately useful one. Construction faces a persistent shortage of skilled machine operators, and earthmoving is repetitive, dangerous, and expensive to staff. Whether SoftBank ends up buying into Gravis, or simply kicking the tyres, the direction of travel is clear enough. The company that once bet on a chatty humanoid named Pepper now wants the machines that move actual earth. 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. Images (10):
	SoftBank Robotics launches Begin+ JIG for PUDU T300 \| IBTimes …	https://jp.ibtimes.com/softbank-robotic…	10	Aug 03, 2026 16:00	active
SoftBank Robotics launches Begin+ JIG for PUDU T300 \| IBTimes JP URL: https://jp.ibtimes.com/softbank-robotics-launches-begin-jig-pudu-t300-103278 Description: New attachment, developed with Monolix, lets PUDU T300 tow existing cage carts without modification and automate post-unloading transport. Content: SoftBank Robotics said on July 31 it began selling a towing attachment for cage carts used with its PUDU T300 transport robot, targeting logistics and manufacturing sites seeking to automate material handling amid labor shortages in Japan. The product, called "Begin+ JIG for T300," was jointly developed with Monolix and is being offered as a new option for the PUDU T300. The attachment allows users to connect existing cage carts to the robot with a one-touch mechanism and automate transport without special modifications to the carts. The companies developed the product after receiving requests from multiple customers to move goods in cage carts directly after truck unloading without transferring them to a different trolley, according to the release. SoftBank Robotics said the setup is designed to eliminate that reloading step while reducing the burden on workers handling transport tasks. The attachment can be used with standard cage carts and also supports models fitted with four swivel casters. At delivery points, the system can automatically detach the cage cart even if no worker is present, and the PUDU T300 can then return automatically to its designated home position. The company plans to expand compatibility in the future to towing carts other than cage carts. Japan's logistics and factory operators have increasingly adopted transport automation as labor shortages deepen and demand grows for equipment that can reduce manual handling. Cage carts, known in Japan as wheeled metal-frame carts used widely in warehouses, factories and retail backrooms, are a standard tool for moving goods in bulk. © Copyright 2026 IBTimes JP. All rights reserved. Images (10):
	Chinese firm plans life-like male and female humanoid robot companions	https://interestingengineering.com/ai-r…	10	Aug 03, 2026 08:00	active
Chinese firm plans life-like male and female humanoid robot companions URL: https://interestingengineering.com/ai-robotics/china-ubtech-humanoid-robot-companions Description: UBTECH launches UWORLD and U1 humanoid robots, bringing factory-proven robotics technology into homes for everyday use. 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. Male and female U1 humanoids feature lifelike silicone skin, realistic hair, and 88 DoF for natural movement. Chinese robotics company UBTECH has launched UWORLD, a new consumer-focused brand, along with its U1 series of humanoid robots. The move marks the company’s expansion from industrial automation into the home robotics market. UBTECH spent years developing full-size humanoids for factories and warehouses, where manufacturers including NIO and FAW-Volkswagen have used its robots. The U1 series brings technologies developed for safe human interaction, precision work, and autonomous operation in complex industrial environments into everyday household settings. In March 2025, UBTECH and Siemens partnered to accelerate humanoid robot production, targeting an annual manufacturing capacity of 10,000 units by 2026. The Shenzhen-based robotics firm recently unveiled the U1 series under its newly created consumer brand, UWORLD. The new series represents a dramatic departure from UBTECH’s traditional focus on industrial humanoid robots deployed in factories and warehouses. Although the lifelike androids are expected to cost around $30,000, interest has been high. Pre-orders opened on JD.com on June 2, requiring a 3,000 yuan (about $450) deposit, and the company reported more than 2,100 reservations within the first week. Early customers are expected to receive deliveries beginning in mid-September, while a full public launch event is scheduled for June 30, reports Gazgoo. Over the past several years, the company has supplied advanced humanoid systems for major manufacturers, including Airbus, Texas Instruments, NIO, ZEEKR, Dongfeng Liuzhou Motor, and FAW-Volkswagen. The technologies developed for those demanding industrial environments now form the foundation of the company’s first consumer-oriented humanoids. UBTECH is offering both male and female versions of the U1. The male model stands 183 centimeters (6 feet) tall, while the female version measures 168 centimeters (5 feet 6 inches). Both feature lifelike silicone skin, realistic hair, expressive facial features, and an impressive 88 degrees of freedom throughout the body. This allows coordinated movement of the arms, legs, hands, neck, chest, and torso, creating highly natural-looking motions, reports Techeblog. Promotional videos released by the company showcase the robots in cinematic settings, highlighting their realistic appearance. Close-up shots reveal detailed skin textures, natural-looking hair, subtle facial expressions, and reflective eyes designed to enhance their humanlike presence. UBTECH claims to experience strong early demand for its new line of ultra-realistic humanoid companions, marking a major expansion beyond the industrial robotics market that helped establish the company’s reputation. Rather than focusing on physical labor, the U1 series is designed primarily for social interaction and emotional companionship. The robots use onboard artificial intelligence to maintain conversations, recognize moods, and adapt their responses to users. According to UBTECH, the system can analyze facial expressions, tone of voice, and speaking patterns to estimate emotional states and adjust conversations accordingly. When users appear stressed or unhappy, the robot can offer supportive dialogue or attempt to guide interactions in a more positive direction. The company also emphasizes privacy. Personal memories and conversation data are stored locally with encryption, and owners can customize both the appearance and personality traits of their robot over time. However, UBTECH has deliberately limited the platform’s capabilities. The robots can sit, stand, walk on flat indoor surfaces, and engage in conversation. Still, they are not intended to perform household chores or navigate challenging environments such as stairs or uneven terrain. Users also cannot freely program new behaviors or functions. UBTECH’s move into consumer robotics is backed by growing momentum in its humanoid robot business. The company reported that revenue from its full-size embodied intelligent humanoid robot products and solutions reached 821 million yuan in 2025, more than 22 times higher than the previous year. The segment accounted for 41.1 percent of total company revenue, up from just 2.7 percent a year earlier, while cumulative deliveries reached 1,079 units, reports Gazgoo. According to reports, by leveraging technologies originally developed for industrial automation, UBTECH is betting that realistic humanoid companions could become the next major category in consumer robotics. 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. Premium Follow Images (10):
	'Workhorse' humanoid robots from Ningbo head to global markets	http://www.ecns.cn/cns-wire/2026-07-30/…	10	Aug 02, 2026 16:00	active
'Workhorse' humanoid robots from Ningbo head to global markets URL: http://www.ecns.cn/cns-wire/2026-07-30/detail-ihfhvays7503860.shtml Content: (ECNS) -- A humanoid robot innovation center in Ningbo, east China's Zhejiang Province, is developing practical robots for industrial and commercial applications, with one model already deployed at a European home appliance manufacturer's plant. Established in December 2023, the Zhejiang Humanoid Robot Innovation Center is supported by the Ningbo municipal government and a team led by Professor Xiong Rong of Zhejiang University. The center focuses on developing embodied intelligence technologies and humanoid robots for industrial use. "Our goal is not to create showpiece robots that perform flashy tricks," said Xiong, the center's chief scientist. "We want to build robots that can carry out real work, particularly precision tasks that are difficult to automate, labor-intensive or potentially dangerous." The center has developed the NAVIAI product range. In retail environments, NAVIAI robots can serve as "smart store managers," retrieving products from shelves. In chemical laboratories, they can complete entire workflows, including sampling, pretreatment, analysis and cleaning. One model, the NAVIAI-I2 bipedal humanoid robot, has achieved positioning accuracy of 0.03 millimeters. It has been deployed at the Turkish production facility of European home appliance brand Beko, making it one of the first Chinese-made humanoid robots to enter overseas markets. "We built a simulated production line at the center, completed all the necessary testing and then shipped the robots to Turkey for deployment. The overall cooperation has progressed smoothly," said Xu Xuecheng, vice general manager and chief technology officer of the center. "Feedback from the production site is also helping us further refine our products." With demand for automation growing across labor-intensive industries in Southeast Asia, the center is confident about expanding its presence in overseas markets, Xu added. The center has formed an industry alliance comprising 88 suppliers in Ningbo and more than 200 nationwide. Alongside the center's development, Ningbo has accelerated its expansion into the embodied intelligence sector, aiming to establish an ecosystem integrating AI models, hardware manufacturing and a wide range of practical applications. (By Tang Yuxian) China In Photos: Xinjiang deploys 108-arm robot for cotton topping Hefei builds 'custom factory' for robot components Beijing's service robot output surges 230% in H1 Images (10):
	When a district in Florida's Everglades used robot rabbits to …	https://timesofindia.indiatimes.com/tec…	10	Aug 02, 2026 08:00	active
When a district in Florida's Everglades used robot rabbits to eliminate its ever-growing population of Burmese pythons - The Times of India URL: https://timesofindia.indiatimes.com/technology/tech-news/when-a-district-in-floridas-everglades-used-robot-rabbits-to-eliminate-its-ever-growing-population-of-burmese-pythons/articleshow/132775220.cms Description: Tech News News: Florida held its annual Python Challenge just a few weeks ago. The 10-day competition brings together professional and amateur hunters to track and re. Content: The TOI Tech Desk is a dedicated team of journalists committed to delivering the latest and most relevant news from the world of technology to readers of The Times of India. TOI Tech Deskâs news coverage spans a wide spectrum across gadget launches, gadget reviews, trends, in-depth analysis, exclusive reports and breaking stories that impact technology and the digital universe. Be it how-tos or the latest happenings in AI, cybersecurity, personal gadgets, platforms like WhatsApp, Instagram, Facebook and more; TOI Tech Desk brings the news with accuracy and authenticity.Read More â¹8,999 â¹9,999 â¹14,999 â¹15,276 â¹13,999 â¹16,499 â¹16,979 â¹15,844 â¹10,298 â¹28,999 â¹13,499 â¹12,999 â¹15,490 â¹15,999 â¹9,999 â¹7,999 â¹10,358 â¹11,699 â¹12,499 â¹17,999 â¹14,499 â¹17,500 â¹17,835 â¹16,863 Images (10):
	China's new humanoid robot offers 98% success rate, handles EV …	https://interestingengineering.com/ai-r…	10	Aug 01, 2026 08:00	active
China's new humanoid robot offers 98% success rate, handles EV assembly URL: https://interestingengineering.com/ai-robotics/china-humanoid-robot-success-ev-assembly Description: Xiaomi's humanoid robot reaches 98 percent assembly success, adds new factory tasks, and moves closer to human-level performance. 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 robots also added two new factory tasks, achieving a 90 percent success rate in both sorting and recycling operations. Xiaomi has reported new progress in deploying its humanoid robot on an automotive production line, with the machine achieving near-human performance after four months of improvements. The robot’s success rate at a self-tapping nut loading station has reached 98 percent, reducing the gap with human workers’ qualification rate to just one percentage point. The company also introduced two new manufacturing tasks—center console side panel sorting and parts bin folding and recycling—both reaching 90 percent success, including the robot’s first long-duration handling of flexible workpieces in a car factory. In March 2026, Xiaomi announced that it had deployed humanoid robots in electric vehicle (EV) assembly operations in China, with it recording a success rate of 90.2 percent. Xiaomi has announced significant progress in deploying its humanoid robot on an automotive production line, reporting improved performance across multiple manufacturing tasks after four months of continuous development and optimization. According to the company, the robot’s success rate at a self-tapping nut loading station has increased from 90.2 percent to 98 percent, bringing its qualification rate to within just one percentage point of that achieved by human workers. The improvement reflects ongoing refinements to the robot’s perception, manipulation, and task execution capabilities in a real factory environment, reports Technode. Xiaomi has also expanded the robot’s responsibilities by introducing two additional production tasks: center console side panel sorting and parts bin folding and recycling. Both tasks have reached a success rate of 90 percent, demonstrating the robot’s ability to perform a wider range of assembly and logistics operations on the factory floor. The center console side panel sorting application represents a notable milestone, as Xiaomi says it is the first time a humanoid robot has carried out long-duration continuous operations involving flexible workpieces in an automotive factory. Handling flexible components is generally more challenging than rigid parts because they can deform, shift position, and require more precise perception and manipulation. In recent times, rival robotics firms like Figure and AgiBot have both used extended livestreams to demonstrate the real-world capabilities and reliability of their humanoid robots, shifting the focus from short promotional videos to continuous, unedited factory operations. Figure streamed its Figure 02 humanoid performing logistics and warehouse-style tasks for more than 20 hours continuously. During the demonstration, the robot autonomously handled repetitive pick-and-place operations, transporting items between workstations while adapting to changing object positions. The livestream highlighted the robot’s ability to operate for long periods with minimal human intervention, although Figure did not disclose a formal task success rate. Instead, the company emphasized consistent autonomous performance, fleet management, and long-duration reliability as key milestones toward commercial deployment. AgiBot has conducted several large-scale factory livestreams showcasing its humanoid robots in real manufacturing environments. In one widely reported demonstration, the company’s G2 humanoid operated for 64 consecutive hours on a tablet production line, completing 64,828 manufacturing tasks and contributing to the production of 17,625 tablets. AgiBot reported an overall 99.99 percent task success rate, making it one of the most detailed public demonstrations of humanoid robot reliability in industrial production. More recently, AgiBot showcased further progress with humanoid robots performing automotive assembly tasks. After four months of optimization, the robots achieved a 98 percent success rate in self-tapping nut loading and 90 percent success rate in center console side panel sorting and parts bin folding and recycling, highlighting continued improvements in manufacturing performance. 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. Premium Follow Images (10):
	Brain-Inspired AI Uses Cognitive Maps	https://neurosciencenews.com/brain-insp…	0	Jul 30, 2026 16:00	active
Brain-Inspired AI Uses Cognitive Maps URL: https://neurosciencenews.com/brain-inspired-ai-cognitive-maps-31145/ Description: Brain inspired AI model employs cognitive maps and stochastic calculations for energy efficient problem solving. Content:
	Samsung Electronics launches robotics division to drive humanoid robot push …	https://www.thehindubusinessline.com/in…	10	Jul 30, 2026 00:01	active
Samsung Electronics launches robotics division to drive humanoid robot push - The HinduBusinessLine URL: https://www.thehindubusinessline.com/info-tech/samsung-electronics-launches-robotics-division-to-drive-humanoid-robot-push/article71247914.ece Description: The South ‌Korean conglomerate said the RX, or "Robotics eXperience", division will oversee its ‌mid-to-long-term robotics strategy, core technology development ‌and ⁠business execution Content: -331.62 -102.15 -407.00 + 283.00 + 2,859.00 -331.62 -102.15 -102.15 -407.00 -407.00 + 283.00 Samsung Electronics said on Tuesday it ‌will set up a robotics division reporting directly to the chief ⁠executive to accelerate development and commercialisation in the field and establish robotics as a growth engine. The South ‌Korean conglomerate said the RX, or "Robotics eXperience", division will oversee its ‌mid-to-long-term robotics strategy, core technology development ‌and ⁠business execution, while expanding research capabilities at ⁠home and overseas. Executive Vice President Lee Dongkun will head the Robotics Strategy Team, Samsung said in a statement. Lee ‌previously led robotics strategy at Hyundai Motor Group, including the direction of Boston Dynamics. Samsung also said it plans to establish ‌robotics research hubs in the U.S., China and Japan, where robotics technology is advancing rapidly, to strengthen competitiveness ⁠by leveraging local ecosystems and expertise. The development builds on a broader robotics push. During its ‌January earnings conference call, Samsung said it aimed to achieve "tangible" results in its humanoid robotics business this year. In April, Samsung said it would consider investment and acquisitions where necessary to accelerate development and commercialisation ‌in robotics, while combining partnering local companies for technology development. Samsung also said advances in technology such as physical AI was ⁠making robotics businesses increasingly viable. It said ⁠it planned to develop humanoid robots to improve both productivity and user experience, ‌initially for deployment at manufacturing sites before expanding into home and retail sectors. Published on July 21, 2026 Copyright© 2026, THG PUBLISHING PVT LTD. or its affiliated companies. All rights reserved. BACK TO TOP Comments have to be in English, and in full sentences. They cannot be abusive or personal. Please abide by our community guidelines for posting your comments. We have migrated to a new commenting platform. If you are already a registered user of TheHindu Businessline and logged in, you may continue to engage with our articles. If you do not have an account please register and login to post comments. Users can access their older comments by logging into their accounts on Vuukle. Terms & conditions \| Institutional Subscriber Images (10):