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Imagine these Hyper-anthropomorphic humanoid robots entering people's daily lives… (AheadForm Origin F1 at WAIC, lip-syncing approaches human-level quality.)

CyberRobo

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The founder of China's biggest robotics company Unitree is 35 year old Wang Xingxing, He says humanoid robots are at the developmental level of a ten year old child. In only 3 to 10 years, these robots can be used in all major areas of people's lives. But for what else?

The founder of China's biggest robotics company Unitree is 35 year old Wang Xingxing, He says humanoid robots are at the developmental level of a ten year old child. In only 3 to 10 years, these robots can be used in all major areas of people's lives. But for what else?

Chay Bowes

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😱 Humanoid robots just performed surgery on live animals for the first time ever At UC San Diego, two humanoid robots successfully removed gallbladders from pigs. In one procedure, a robot assisted a human surgeon. In the second, two robots operated together at the table. Important note: The robots didn’t make any independent decisions — they were fully teleoperated by real doctors. But unlike bulky traditional surgical robots, these humanoids weigh just ~30 kg, move freely around the OR, and use the exact same instruments as human surgeons. This is a major milestone. The next step? Autonomy. Once achieved, these robots could become true surgical assistants, handling routine parts of procedures without constant human control. Medicine is entering a wild new era. What do you think — exciting or slightly terrifying?

😱 Humanoid robots just performed surgery on live animals for the first time ever At UC San Diego, two humanoid robots successfully removed gallbladders from pigs. In one procedure, a robot assisted a human surgeon. In the second, two robots operated together at the table. Important note: The robots didn’t make any independent decisions — they were fully teleoperated by real doctors. But unlike bulky traditional surgical robots, these humanoids weigh just ~30 kg, move freely around the OR, and use the exact same instruments as human surgeons. This is a major milestone. The next step? Autonomy. Once achieved, these robots could become true surgical assistants, handling routine parts of procedures without constant human control. Medicine is entering a wild new era. What do you think — exciting or slightly terrifying?

NEXTA

52,220 Aufrufe • vor 11 Tagen

🚨 This viral bionic humanoid robot company just raised hundreds of millions RMB in funding ,and it may have finally crossed the Uncanny Valley AheadForm, the startup behind those ultra-realistic face robots that have racked up hundreds of millions of views across social media, just closed a massive A1 round. This new funding will accelerate bringing these wildly popular humanoid robots into everyday life. Worth noting: Founder Yuhang Hu's latest paper on realistic lip motions for humanoid face robots has landed on the cover of Science Robotics (Jan 2026 issue). Using self-supervised AI, their robots now generate incredibly natural, continuous lip sync,supporting multiple languages, different speaking speeds, emotions, and even singing. Powered by soft silicone skin and 10+ DoF actuators, gone are the stiff puppet faces. This marks a major leap toward truly empathetic, “alive” human-robot interaction. While factories and warehouses will be filled with heavy duty, rugged humanoids for labor, Companies like AheadForm is building the warm, emotionally intelligent ones for people,the kind that can smile, make eye contact, and create real connection. The future isn’t just efficient. It’s getting warmer.

🚨 This viral bionic humanoid robot company just raised hundreds of millions RMB in funding ,and it may have finally crossed the Uncanny Valley AheadForm, the startup behind those ultra-realistic face robots that have racked up hundreds of millions of views across social media, just closed a massive A1 round. This new funding will accelerate bringing these wildly popular humanoid robots into everyday life. Worth noting: Founder Yuhang Hu's latest paper on realistic lip motions for humanoid face robots has landed on the cover of Science Robotics (Jan 2026 issue). Using self-supervised AI, their robots now generate incredibly natural, continuous lip sync,supporting multiple languages, different speaking speeds, emotions, and even singing. Powered by soft silicone skin and 10+ DoF actuators, gone are the stiff puppet faces. This marks a major leap toward truly empathetic, “alive” human-robot interaction. While factories and warehouses will be filled with heavy duty, rugged humanoids for labor, Companies like AheadForm is building the warm, emotionally intelligent ones for people,the kind that can smile, make eye contact, and create real connection. The future isn’t just efficient. It’s getting warmer.

CyberRobo

112,752 Aufrufe • vor 3 Monaten

China unveils humanoid robot with lifelike skin and blinking eyes built for daily life | Prabhat Ranjan Mishra, Interesting Engineering Large Language Models (LLMs) and Vision-Language Models (VLMs) help process and interpret complex data from human interactions. A Shanghai-based company has developed humanoid robots that appear as real as humans. The advanced bionic humanoid robot is integrated with self-supervised AI algorithms. Named Elf V1, the robot can perceive the world, communicate, learn, and interact intelligently with its surroundings. Developed by AheadForm Technology, the robot offers up to 30 degrees of freedom, powered by a precise control system and an advanced AI learning algorithm. Robot offers expressive facial features The robot offers expressive facial features, moving eyes, and synchronized speech. It can also convey emotions and understand human non-verbal cues, making interactions more natural and engaging. The robot has highly interactive capabilities and lifelike appearances. AheadForm expects that its robots could soon seamlessly integrate into daily life, providing assistance, companionship, and support across various industries. “We believe that by developing realistic and expressive robot heads, we can bridge the gap between humans and machines, fostering a new era of interactive and intelligent robotics,” said the company in a statement. Reports revealed that to avoid the “uncanny valley” effect and be able to interact with us, they are given lifelike skin and capabilities to read our emotions and respond appropriately using dynamic expression simulation and emotion generation tech. Bionic skin and high-precision control system The Elf V1 series of humanoids features 30 facial muscles animated by brushless micro-motors and managed by a high-precision control system. Paired with an ability to detect their users’ emotions with low latency and bionic skin, their facial expressions are nearly identical to those of humans, reported CGTN. The company claims it’s pioneering the development of realistic humanoid robots designed to revolutionize human-robot interaction. It’s enhancing sophisticated humanoid robot heads that can express emotions, perceive their environment, and interact seamlessly with humans. By combining cutting-edge AI and advanced robotics, AheadForm aims to bring life to machines and transform how humans engage with technology. AI models boost robots’ responsiveness Seamless integration of Large Language Models (LLMs) and Vision-Language Models (VLMs) into the humanoid robots can help them process and interpret complex data from human interactions, enabling the robot to learn and adapt in real-time, achieving human-level understanding and responsiveness. AheadForm uses Brushless Motors that deliver ultra-quiet operation and high responsiveness, specifically designed for precision facial movements in humanoid robots. With its compact size, lightweight design, and energy efficiency, this motor is the ideal choice for next-generation robots that require precise, subtle facial control to create a truly human-like experience. Previously, the company unveiled the Lan Series that features realistic humanoid robots with soft skin and 10 degrees of freedom, offering a lifelike appearance and intuitive movements. This series is designed for cost-efficiency, for applications prioritizing mobility and manipulation.

China unveils humanoid robot with lifelike skin and blinking eyes built for daily life | Prabhat Ranjan Mishra, Interesting Engineering Large Language Models (LLMs) and Vision-Language Models (VLMs) help process and interpret complex data from human interactions. A Shanghai-based company has developed humanoid robots that appear as real as humans. The advanced bionic humanoid robot is integrated with self-supervised AI algorithms. Named Elf V1, the robot can perceive the world, communicate, learn, and interact intelligently with its surroundings. Developed by AheadForm Technology, the robot offers up to 30 degrees of freedom, powered by a precise control system and an advanced AI learning algorithm. Robot offers expressive facial features The robot offers expressive facial features, moving eyes, and synchronized speech. It can also convey emotions and understand human non-verbal cues, making interactions more natural and engaging. The robot has highly interactive capabilities and lifelike appearances. AheadForm expects that its robots could soon seamlessly integrate into daily life, providing assistance, companionship, and support across various industries. “We believe that by developing realistic and expressive robot heads, we can bridge the gap between humans and machines, fostering a new era of interactive and intelligent robotics,” said the company in a statement. Reports revealed that to avoid the “uncanny valley” effect and be able to interact with us, they are given lifelike skin and capabilities to read our emotions and respond appropriately using dynamic expression simulation and emotion generation tech. Bionic skin and high-precision control system The Elf V1 series of humanoids features 30 facial muscles animated by brushless micro-motors and managed by a high-precision control system. Paired with an ability to detect their users’ emotions with low latency and bionic skin, their facial expressions are nearly identical to those of humans, reported CGTN. The company claims it’s pioneering the development of realistic humanoid robots designed to revolutionize human-robot interaction. It’s enhancing sophisticated humanoid robot heads that can express emotions, perceive their environment, and interact seamlessly with humans. By combining cutting-edge AI and advanced robotics, AheadForm aims to bring life to machines and transform how humans engage with technology. AI models boost robots’ responsiveness Seamless integration of Large Language Models (LLMs) and Vision-Language Models (VLMs) into the humanoid robots can help them process and interpret complex data from human interactions, enabling the robot to learn and adapt in real-time, achieving human-level understanding and responsiveness. AheadForm uses Brushless Motors that deliver ultra-quiet operation and high responsiveness, specifically designed for precision facial movements in humanoid robots. With its compact size, lightweight design, and energy efficiency, this motor is the ideal choice for next-generation robots that require precise, subtle facial control to create a truly human-like experience. Previously, the company unveiled the Lan Series that features realistic humanoid robots with soft skin and 10 degrees of freedom, offering a lifelike appearance and intuitive movements. This series is designed for cost-efficiency, for applications prioritizing mobility and manipulation.

Owen Gregorian

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Sports like tennis are great examples of the sort of dynamic whole-body interaction that’s possible with humanoid robots. But capturing examples of fast, dynamic interactions from humans is really difficult. Enter LATENT, which uses lower-quality human data plus reinforcement learning to teach a robot to play tennis, able to complete back-and-forth volleys at a human level. LATENT has three steps: (1) collecting imperfect human data like a backswing, (2) using these to learn a latent action space, and (3) they train a high-level policy in simulation which can compose these actions and execute tennis skills on a robot. Haofei Lu and Yunrui Lian join us to tell us about their method. Watch Episode #80 of RoboPapers, with Chris Paxton and Jiafei Duan, now to learn more!

Sports like tennis are great examples of the sort of dynamic whole-body interaction that’s possible with humanoid robots. But capturing examples of fast, dynamic interactions from humans is really difficult. Enter LATENT, which uses lower-quality human data plus reinforcement learning to teach a robot to play tennis, able to complete back-and-forth volleys at a human level. LATENT has three steps: (1) collecting imperfect human data like a backswing, (2) using these to learn a latent action space, and (3) they train a high-level policy in simulation which can compose these actions and execute tennis skills on a robot. Haofei Lu and Yunrui Lian join us to tell us about their method. Watch Episode #80 of RoboPapers, with Chris Paxton and Jiafei Duan, now to learn more!

RoboPapers

29,923 Aufrufe • vor 2 Monaten

Could humanoid robots replace people on the battlefield? Compared with risking human lives — and with all the political backlash and risks of stress-induced war crimes and trauma — humanoid soldiers offer a more resilient, restrained, and precise alternative. Robots do not suffer from fatigue or fear and can operate continuously in extreme conditions while immune from radiation, chemicals, or biological agents. But the counterargument is chilling: humanoid soldiers have lower political and ethical barriers to initiating conflict, blur responsibility for any abuses, and further dehumanize warfare. In the latest episode of AI, Explained by Humans, TIME editor-at-large Charlie Campbell visited a company making these robots to see the war technology they're selling to governments around the world and interviewed experts on the potential implications. Read the full story here:

Could humanoid robots replace people on the battlefield? Compared with risking human lives — and with all the political backlash and risks of stress-induced war crimes and trauma — humanoid soldiers offer a more resilient, restrained, and precise alternative. Robots do not suffer from fatigue or fear and can operate continuously in extreme conditions while immune from radiation, chemicals, or biological agents. But the counterargument is chilling: humanoid soldiers have lower political and ethical barriers to initiating conflict, blur responsibility for any abuses, and further dehumanize warfare. In the latest episode of AI, Explained by Humans, TIME editor-at-large Charlie Campbell visited a company making these robots to see the war technology they're selling to governments around the world and interviewed experts on the potential implications. Read the full story here:

TIME

12,152 Aufrufe • vor 3 Monaten

Humanoid robot convenience stores are becoming a part of people's lives. A couple of days ago, I passed by the Zhangjiang AI Town in Shanghai. At the GalBOT "Space Capsule," I bought a bottle of Coca-Cola from a convenience store operated by a humanoid robot. It was smoother than I expected: screen selection, QR code payment, and the humanoid robot G1 retrieving and delivering the goods – all in one seamless process. It's worth noting that a human worker was still present inside, handling emergency situations. However, it can't yet take orders through speech, but this will change soon. People will be able to shop by naturally conversing with G1, paying with palm or facial recognition (e.g., Alipay), and the humanoid robot will autonomously fulfill orders without ever getting tired, always full of enthusiasm and patience. It is expected that convenience stores operated by humanoid robots will soon appear in the core areas and tourist zones of many Chinese cities this year, with companies like GalBOT, Astribot, and AI² Robotics deploying them in large numbers. Its value goes beyond simply achieving intelligent automation in retail; it's becoming an integral part of people's future technological lives.

Humanoid robot convenience stores are becoming a part of people's lives. A couple of days ago, I passed by the Zhangjiang AI Town in Shanghai. At the GalBOT "Space Capsule," I bought a bottle of Coca-Cola from a convenience store operated by a humanoid robot. It was smoother than I expected: screen selection, QR code payment, and the humanoid robot G1 retrieving and delivering the goods – all in one seamless process. It's worth noting that a human worker was still present inside, handling emergency situations. However, it can't yet take orders through speech, but this will change soon. People will be able to shop by naturally conversing with G1, paying with palm or facial recognition (e.g., Alipay), and the humanoid robot will autonomously fulfill orders without ever getting tired, always full of enthusiasm and patience. It is expected that convenience stores operated by humanoid robots will soon appear in the core areas and tourist zones of many Chinese cities this year, with companies like GalBOT, Astribot, and AI² Robotics deploying them in large numbers. Its value goes beyond simply achieving intelligent automation in retail; it's becoming an integral part of people's future technological lives.

CyberRobo

42,037 Aufrufe • vor 6 Monaten

Elon Musk envisions a future where everyone gets access to the world's best surgeons—because Tesla's Optimus robots will deliver superhuman precision for any medical procedure, even ones too complex for humans. "Imagine a world where everyone has access to the best surgeons, literally everyone... Optimus will have the level of precision that is frankly superhuman... and that will be available to anyone." Money can't scale top doctors—they're rare. But robots? Built in factories at scale. From scarcity to abundance: Could humanoid robots truly end healthcare inequality? Would you trust an Optimus robot for surgery if it outperformed humans? Or is the human touch irreplaceable? What's your take on this bold vision? Drop thoughts below.

Elon Musk envisions a future where everyone gets access to the world's best surgeons—because Tesla's Optimus robots will deliver superhuman precision for any medical procedure, even ones too complex for humans. "Imagine a world where everyone has access to the best surgeons, literally everyone... Optimus will have the level of precision that is frankly superhuman... and that will be available to anyone." Money can't scale top doctors—they're rare. But robots? Built in factories at scale. From scarcity to abundance: Could humanoid robots truly end healthcare inequality? Would you trust an Optimus robot for surgery if it outperformed humans? Or is the human touch irreplaceable? What's your take on this bold vision? Drop thoughts below.

Camus

11,255 Aufrufe • vor 5 Monaten

NEO robot achieves “almost human-like” hand dexterity The Norwegian-American startup 1X has demonstrated new capabilities of its humanoid robot NEO — it has learned to perform fine motor tasks at a level close to humans. The robot can assemble Lego, eat chips, play video games, screw in a light bulb, pick a grape, and carefully hold a wine glass. Previously, one of the biggest challenges for robots was handling small objects — they struggled to understand how much force was needed to grip them. NEO solves this problem with cable-driven actuators and a force-control system: each joint moves the finger while simultaneously measuring pressure. The developers believe these technologies could become an important step toward the creation of universal home robots.

NEO robot achieves “almost human-like” hand dexterity The Norwegian-American startup 1X has demonstrated new capabilities of its humanoid robot NEO — it has learned to perform fine motor tasks at a level close to humans. The robot can assemble Lego, eat chips, play video games, screw in a light bulb, pick a grape, and carefully hold a wine glass. Previously, one of the biggest challenges for robots was handling small objects — they struggled to understand how much force was needed to grip them. NEO solves this problem with cable-driven actuators and a force-control system: each joint moves the finger while simultaneously measuring pressure. The developers believe these technologies could become an important step toward the creation of universal home robots.

NEXTA

45,406 Aufrufe • vor 11 Tagen

500 humanoid robots replacing humans in high-voltage operations What does that look like? Steel against steel,instead of flesh and blood. This marks a turning point for China’s State Grid, shifting from human-based maintenance to autonomous operations. This year, State Grid announced plans to procure 8,500 embodied AI robots, with a total budget of RMB 6.8 billion (~$1 billion). These robots will be deployed across four major scenarios: power inspection, live-line operations, emergency response, and warehouse logistics,covering more than 600 specific task scenarios. Among them, humanoid robots for live-line operations are the most expensive and strategically critical: 500 units with a budget of RMB 2.5 billion (~$370 million). They will be deployed in distribution network live-line work and ultra-high-voltage (UHV) projects, replacing humans in high-risk tasks. Workers will transition into supervisory roles, ready to take over remotely when needed. As early as last year, State Grid had already validated the feasibility of humanoid robots for substation inspection. Tienkung can autonomously perform inspection tasks at a State Grid substation in Beijing. Of course, suppliers are not limited to X-Humanoid,players like Unitree, AGIBOT, DeepRobotics, UBTECH, and Fourier are all involved. These 500 humanoid robots will also collaborate with 5,000 inspection quadruped robots and 3,000 dual-arm wheeled robots for indoor substation maintenance,together forming an intelligent, automated, and collaborative network for autonomous grid operations. What does this change? According to State Grid, each embodied AI unit can save RMB 500,000 to 800,000 (~$70,000–$110,000) in annual labor costs, with a payback period of around 2–3 years. Inspection efficiency increases by 5x, fault response time is reduced by 60%, and power supply reliability improves by 0.5 percentage points. More importantly, over 90% of human exposure to high-risk operations can be eliminated, reducing safety incidents by 80%. At another level, for humanoid robot companies, the center of R&D and iteration is shifting to the customer site. Real-world physical interaction becomes the fastest feedback loop,accelerating innovation and evolution. And 8,500 units are just the beginning of scaled deployment. Based on current plans, embodied AI robots will cover 30% of key areas in State Grid by 2026, 80% of high-risk operation scenarios by 2027, and enable fully autonomous operations by 2030. The demand roadmap is clear: define use cases ->deploy at scale->improve models and robots->expand further. 8,500… 50,000… 100,000… But remember,power grids are just one part of China’s vast infrastructure system. The experience of autonomous robotic operations here can be replicated across other sectors, such as broader energy systems. That, in itself, is another story. P.S.The video shows Tienkung 1.0 autonomously performing substation inspection tasks (2025).

500 humanoid robots replacing humans in high-voltage operations What does that look like? Steel against steel,instead of flesh and blood. This marks a turning point for China’s State Grid, shifting from human-based maintenance to autonomous operations. This year, State Grid announced plans to procure 8,500 embodied AI robots, with a total budget of RMB 6.8 billion (~$1 billion). These robots will be deployed across four major scenarios: power inspection, live-line operations, emergency response, and warehouse logistics,covering more than 600 specific task scenarios. Among them, humanoid robots for live-line operations are the most expensive and strategically critical: 500 units with a budget of RMB 2.5 billion (~$370 million). They will be deployed in distribution network live-line work and ultra-high-voltage (UHV) projects, replacing humans in high-risk tasks. Workers will transition into supervisory roles, ready to take over remotely when needed. As early as last year, State Grid had already validated the feasibility of humanoid robots for substation inspection. Tienkung can autonomously perform inspection tasks at a State Grid substation in Beijing. Of course, suppliers are not limited to X-Humanoid,players like Unitree, AGIBOT, DeepRobotics, UBTECH, and Fourier are all involved. These 500 humanoid robots will also collaborate with 5,000 inspection quadruped robots and 3,000 dual-arm wheeled robots for indoor substation maintenance,together forming an intelligent, automated, and collaborative network for autonomous grid operations. What does this change? According to State Grid, each embodied AI unit can save RMB 500,000 to 800,000 (~$70,000–$110,000) in annual labor costs, with a payback period of around 2–3 years. Inspection efficiency increases by 5x, fault response time is reduced by 60%, and power supply reliability improves by 0.5 percentage points. More importantly, over 90% of human exposure to high-risk operations can be eliminated, reducing safety incidents by 80%. At another level, for humanoid robot companies, the center of R&D and iteration is shifting to the customer site. Real-world physical interaction becomes the fastest feedback loop,accelerating innovation and evolution. And 8,500 units are just the beginning of scaled deployment. Based on current plans, embodied AI robots will cover 30% of key areas in State Grid by 2026, 80% of high-risk operation scenarios by 2027, and enable fully autonomous operations by 2030. The demand roadmap is clear: define use cases ->deploy at scale->improve models and robots->expand further. 8,500… 50,000… 100,000… But remember,power grids are just one part of China’s vast infrastructure system. The experience of autonomous robotic operations here can be replicated across other sectors, such as broader energy systems. That, in itself, is another story. P.S.The video shows Tienkung 1.0 autonomously performing substation inspection tasks (2025).

CyberRobo

46,782 Aufrufe • vor 3 Monaten

Ashok Elluswamy, Tesla's AI lead, during a GTC discussion, highlighting the fundamental similarity in AI approaches for self-driving cars and humanoid robots: - Hierarchical decision making is useful, but it has to be done as part of the same decision-making process as lower-level controls. - We haven't seen the long tail of humanoid robotics, but Tesla has seen the long tail of self-driving, where high and low-level decisions have to be jointly made at a pretty high framerate. - Optimus's architecture is designed in a similar way, where there's a hierarchy but it's all running as part of the same model and the latencies involved in decision making are well modeled. - This architecture will scale quite well with humanoid robots. - The distinction of the decision-making levels is only in the developer's mind. For the model, it's a continuous space of decision making, where there are dials available to make them more fine or coarse. - Humanoids have more sensor modalities and higher degrees of freedom compared to self-driving, but the fundamental constraints remain the same: you need to make real-time decisions. There's obviously a hierarchy to these control signal outputs, but the lowest frequency cannot be too low, because the safety of the robot cannot depend upon things running at very low frequencies.

Ashok Elluswamy, Tesla's AI lead, during a GTC discussion, highlighting the fundamental similarity in AI approaches for self-driving cars and humanoid robots: - Hierarchical decision making is useful, but it has to be done as part of the same decision-making process as lower-level controls. - We haven't seen the long tail of humanoid robotics, but Tesla has seen the long tail of self-driving, where high and low-level decisions have to be jointly made at a pretty high framerate. - Optimus's architecture is designed in a similar way, where there's a hierarchy but it's all running as part of the same model and the latencies involved in decision making are well modeled. - This architecture will scale quite well with humanoid robots. - The distinction of the decision-making levels is only in the developer's mind. For the model, it's a continuous space of decision making, where there are dials available to make them more fine or coarse. - Humanoids have more sensor modalities and higher degrees of freedom compared to self-driving, but the fundamental constraints remain the same: you need to make real-time decisions. There's obviously a hierarchy to these control signal outputs, but the lowest frequency cannot be too low, because the safety of the robot cannot depend upon things running at very low frequencies.

The Humanoid Hub

669,921 Aufrufe • vor 4 Monaten

Video: World’s first humanoid robot labor that swaps its own batteries to work endlessly | Jijo Malayil, Interesting Engineering Walker S2 uses dual-battery balancing and standardized modules to boost efficiency and ensure uninterrupted, optimized performance. In a leap for robotics, China’s UBTech has unveiled the Walker S2, the world’s first humanoid robot capable of fully autonomous battery swapping. Designed for non-stop industrial operations, the Walker S2 can replace its own power pack in just three minutes—no human intervention required. Equipped with advanced anthropomorphic bipedal locomotion and a hot-swappable battery system, Walker S2 is built to operate 24/7 across dynamic industrial environments. According to UBTech, the next-generation humanoid robot marks a major milestone in automation, bringing continuous, hands-free performance to the factory floor. In May 2025, UBTech Robotics and Huawei Technologies inked a significant partnership to accelerate the adoption of humanoid robots across China’s factories and households. Uninterrupted robot operations A video posted by the robotics firm opens with the sleek UBTech Walker S2 humanoid robot working in an industrial setting. The highlight, however, is its autonomous battery swap. Walker S2 approaches the charging station, carefully detaches its depleted power pack, and seamlessly installs a fresh one—all within about three minutes—without any human assistance, according to CGTN. The camera captures close-ups of the robot’s articulated limbs and the intelligent battery-handling mechanism, conveying precision and reliability. As the swap completes, Walker S2 resumes its duties, reinforcing the promise of uninterrupted, 24/7 operations in dynamic factory environments. UBTech’s Walker S2 humanoid robot is equipped with advanced dual-battery power balancing technology and uses standardized battery modules to optimize performance, reports CNEVPOST. This dual-battery system allows the robot to automatically switch to a backup battery in case of a main battery failure, ensuring that critical tasks are carried out without interruption. In addition to battery swapping, the robot can intelligently choose between charging and swapping based on task urgency, allowing it to manage energy dynamically and adapt to real-time operational demands. UBTech highlights these features as a step forward in deploying humanoid robots for industrial and domestic applications, combining flexibility, reliability, and autonomy in one intelligent platform. Factory intelligence upgrade Earlier in the year, UBTech unveiled a major advancement in humanoid robot collaboration, claiming the world’s first deployment of multiple humanoids working together across varied industrial tasks. Demonstrated at Zeekr’s 5G-enabled smart factory, the breakthrough centers on UBTech’s “BrainNet” framework, which orchestrates cooperative behavior through a cloud-device intelligence system. BrainNet integrates a “super brain” for high-level decision-making with an “intelligent sub-brain” for distributed multi-robot control. The super brain, powered by a proprietary large-scale multimodal reasoning model, handles complex production-line scheduling and decision-making. Meanwhile, the sub-brain coordinates real-time tasks using cross-field perception and Transformer-based control for dynamic adaptability. Together, they enable the Walker S1 humanoid robots to move beyond isolated operations and perform coordinated tasks with high precision and speed. The system is built on DeepSeek-R1 reasoning technology and trained on real-world data from automotive factory settings. Leveraging Retrieval-Augmented Generation (RAG), the model adapts to specific job functions and improves scalability across workstations. At Zeekr’s facility, dozens of Walker S1s now collaborate on tasks like assembly, inspection, and part handling. Using semantic VSLAM and shared mapping, they coordinate seamlessly via vision-based navigation and agile manipulation. UBTech says this marks a transition to “Practical Training 2.0,” where humanoid robots operate as a swarm, maximizing efficiency and setting the stage for next-generation intelligent manufacturing.

Video: World’s first humanoid robot labor that swaps its own batteries to work endlessly | Jijo Malayil, Interesting Engineering Walker S2 uses dual-battery balancing and standardized modules to boost efficiency and ensure uninterrupted, optimized performance. In a leap for robotics, China’s UBTech has unveiled the Walker S2, the world’s first humanoid robot capable of fully autonomous battery swapping. Designed for non-stop industrial operations, the Walker S2 can replace its own power pack in just three minutes—no human intervention required. Equipped with advanced anthropomorphic bipedal locomotion and a hot-swappable battery system, Walker S2 is built to operate 24/7 across dynamic industrial environments. According to UBTech, the next-generation humanoid robot marks a major milestone in automation, bringing continuous, hands-free performance to the factory floor. In May 2025, UBTech Robotics and Huawei Technologies inked a significant partnership to accelerate the adoption of humanoid robots across China’s factories and households. Uninterrupted robot operations A video posted by the robotics firm opens with the sleek UBTech Walker S2 humanoid robot working in an industrial setting. The highlight, however, is its autonomous battery swap. Walker S2 approaches the charging station, carefully detaches its depleted power pack, and seamlessly installs a fresh one—all within about three minutes—without any human assistance, according to CGTN. The camera captures close-ups of the robot’s articulated limbs and the intelligent battery-handling mechanism, conveying precision and reliability. As the swap completes, Walker S2 resumes its duties, reinforcing the promise of uninterrupted, 24/7 operations in dynamic factory environments. UBTech’s Walker S2 humanoid robot is equipped with advanced dual-battery power balancing technology and uses standardized battery modules to optimize performance, reports CNEVPOST. This dual-battery system allows the robot to automatically switch to a backup battery in case of a main battery failure, ensuring that critical tasks are carried out without interruption. In addition to battery swapping, the robot can intelligently choose between charging and swapping based on task urgency, allowing it to manage energy dynamically and adapt to real-time operational demands. UBTech highlights these features as a step forward in deploying humanoid robots for industrial and domestic applications, combining flexibility, reliability, and autonomy in one intelligent platform. Factory intelligence upgrade Earlier in the year, UBTech unveiled a major advancement in humanoid robot collaboration, claiming the world’s first deployment of multiple humanoids working together across varied industrial tasks. Demonstrated at Zeekr’s 5G-enabled smart factory, the breakthrough centers on UBTech’s “BrainNet” framework, which orchestrates cooperative behavior through a cloud-device intelligence system. BrainNet integrates a “super brain” for high-level decision-making with an “intelligent sub-brain” for distributed multi-robot control. The super brain, powered by a proprietary large-scale multimodal reasoning model, handles complex production-line scheduling and decision-making. Meanwhile, the sub-brain coordinates real-time tasks using cross-field perception and Transformer-based control for dynamic adaptability. Together, they enable the Walker S1 humanoid robots to move beyond isolated operations and perform coordinated tasks with high precision and speed. The system is built on DeepSeek-R1 reasoning technology and trained on real-world data from automotive factory settings. Leveraging Retrieval-Augmented Generation (RAG), the model adapts to specific job functions and improves scalability across workstations. At Zeekr’s facility, dozens of Walker S1s now collaborate on tasks like assembly, inspection, and part handling. Using semantic VSLAM and shared mapping, they coordinate seamlessly via vision-based navigation and agile manipulation. UBTech says this marks a transition to “Practical Training 2.0,” where humanoid robots operate as a swarm, maximizing efficiency and setting the stage for next-generation intelligent manufacturing.

Owen Gregorian

35,637 Aufrufe • vor 1 Jahr

Sub-1 hour? Chasing the human half-marathon record? That’s suddenly the conversation around Beijing’s humanoid robot race this Sunday. 🏃‍♂️🤖 A year ago, this event was mostly about finishing. Now the bar is speed, stability, and full-course autonomy. More than 100 teams and 300+ humanoid robots are expected on the line, and nearly 40% of them are entering the autonomous navigation group instead of relying on remote control. The course is not getting easier either. Same 21.0975 km, but with more urban slopes, rolling sections, and park terrain built to expose weak points in control, perception, and endurance. That is what makes this race worth watching. If some of these machines really get close to one hour, the story is no longer “robots can run.” It becomes “humanoids are starting to hold speed, balance, and navigation together over real distance.” And that matters far beyond a race course. This is one of the clearest public tests yet for where humanoid robotics actually stands in hardware, motion control, power systems, and autonomous mobility. Sunday’s headline will be the time. The bigger takeaway will be how much of that pace is still there at kilometer 15, 18, and 21. I want to see who is actually fast, who is truly autonomous, and who can finish without falling apart. That is where the real signal will be.

Sub-1 hour? Chasing the human half-marathon record? That’s suddenly the conversation around Beijing’s humanoid robot race this Sunday. 🏃‍♂️🤖 A year ago, this event was mostly about finishing. Now the bar is speed, stability, and full-course autonomy. More than 100 teams and 300+ humanoid robots are expected on the line, and nearly 40% of them are entering the autonomous navigation group instead of relying on remote control. The course is not getting easier either. Same 21.0975 km, but with more urban slopes, rolling sections, and park terrain built to expose weak points in control, perception, and endurance. That is what makes this race worth watching. If some of these machines really get close to one hour, the story is no longer “robots can run.” It becomes “humanoids are starting to hold speed, balance, and navigation together over real distance.” And that matters far beyond a race course. This is one of the clearest public tests yet for where humanoid robotics actually stands in hardware, motion control, power systems, and autonomous mobility. Sunday’s headline will be the time. The bigger takeaway will be how much of that pace is still there at kilometer 15, 18, and 21. I want to see who is actually fast, who is truly autonomous, and who can finish without falling apart. That is where the real signal will be.

RoboHub🤖

209,428 Aufrufe • vor 3 Monaten

Ex Machina is no longer sci-fi. China has finally built it. The company is AheadForm, founded in Shanghai. The product is the world's most hyper-realistic robotic face. Silicone skin you can't tell from human, 25 micro motors hidden underneath pulling the face into real expressions. And RGB cameras embedded inside the pupils so when it looks at you, it actually sees you from where its eyes are. They raised $28.5M to "give AI a head," which is also where the name comes from. AheadForm = a head form. This is the opposite of where everyone else in robotics is focused. Unitree, Figure, Tesla, Boston Dynamics: all about the body. AheadForm chose the face because they think trust is the harder problem to solve, and trust gets decided at the face. The reason nobody else has tried this is the "uncanny valley." It's the creepy zone where a robot looks almost human but not quite, and looking at it just feels wrong even when you can't say why. Most roboticists believed no amount of engineering could make a face realistic enough to escape it. So they gave up and kept robots cartoonish on purpose: big anime eyes, exaggerated features, clearly synthetic. But AheadForm decided to treat it as an engineering bug instead. Add enough motors, tune the silicone, fix the timing, the valley closes. And they're pulling it off. A few crazy details about how this actually works: 1. The robot learns its own face in a mirror. You put it in front of a camera, let it fire every motor randomly, and it watches what its face does and builds an internal map of "if I send command X to motor Y, my eyebrow does this." Same exact process a human baby uses staring into a mirror. The robot teaches itself who it is by experimenting. 2. It predicts your smile 839 milliseconds before you smile. By watching the micro-tells in your face that precede a smile, the robot starts smiling 0.8 seconds ahead, so its smile lands at the same moment yours does. Most robot mimicry happens half a second late, which is exactly why it always feels artificial. 3. The pupils are the cameras. When the robot makes eye contact, the gaze and the sensor are the same physical thing. Most humanoid robots stick the camera on the forehead or chest, so they aren't actually looking at you when their eyes are pointed at you. 4. The founder, Yuhang Hu, did his PhD at Columbia under Hod Lipson. Lipson is the guy who in 2006 built a four-legged robot that figured out it had four legs by experimenting with its own movement, nobody told it the body shape, it discovered it. He has spent 25 years trying to build machines that know what they are. AheadForm is that 25-year research arc productized. 5. NetEase Games already paid them to physically embody a fantasy video game character. That opens up a brand-new category: robotics as the physical embodiment of fictional IP. Every character-rich studio, Disney, Riot, Hoyoverse, Pokemon, Netflix, now has a question to answer about when their characters get bodies. AheadForm believes whoever ships the first robot you'd actually want around your family wins. That's the bet behind the most realistic robot face on earth.

Ole Lehmann

534,442 Aufrufe • vor 2 Monaten

A truly staggering number of AI-powered humanoid robots are emerging from Shenzhen, the booming Chinese tech hub. Shenzhen Dobot, which rose from a Kickstarter campaign to become an industrial automation leader, says its first humanoid robot, Atom, has entered mass production. Atom is positioned as a general-purpose cross-industry worker. Priced around $27,000, Atom boasts fine motor control that’s precise enough to pick up a cherry by the stem. Another major player is Pudu Robotics, which recently shipped its 100,000th service robot. Pudu is commercializing its wheeled and bipedal humanoids using its sizable customer base. Its flagship is the PUDU D9, a full-sized biped built to serve in places like warehouses, stores, and hotels. It sells for between $20,000 and $30,000. A newer firm, AI Squared, recently closed a funding round worth hundreds of millions of yuan to rush its Alpha Bot 2 general-purpose humanoid to market. The startup, founded in 2023, says its AI combines slow reasoning and fast motion planning so its robots can plan, talk, and move simultaneously. An even newer firm, Lumos Robotics, has reportedly raised nearly $28 million in angel funding to develop a full-stack humanoid robotics platform. The second-generation iteration of its flagship robot, the LUS 2, recently demonstrated the ability to get up from the ground in just a second. According to Lumos, the next-gen bot features upgraded actuators and sensors for athletic-level dexterity. LimX Dynamics, known for its agile quadrupeds and bipeds, just shared footage showcasing its CL-3 humanoid’s lifelike walking gait and gestures. LimX says its flagship humanoid can watch human movement videos and replicate them via motion conversion, with no hand coding required. Just a year after its establishment, the startup DIGIT has unveiled multiple lines of sci-fi-inspired humanoids. Its Starwalker robots switch between legged and wheeled locomotion to cover more than 10,000 square meters across multiple floors. They’re available in five different colors. DIGIT also has a robot named Xia Lan with a humanlike face that can show a range of expressions and emotions. The leading Chinese robotics firm UBTECH also recently introduced its first hyper-realistic humanoid robot, Una, intended for applications like customer service and event marketing. UBTECH says it’s begun mass-producing its Walker S humanoid robots that are reportedly helping assemble iPhones for Foxconn. Footage of a so-called intelligent swarm of these humanoids at a Zeekr factory shocked the world. Another EV maker, Xpeng, plans to start mass-producing its Iron humanoids in 2026. The robot reportedly stole the show during the 2025 Shanghai Auto Week. The Shenzhen firm that’s gotten the most attention outside the usual tech echo chambers is Engine AI, which is planning the world’s first full-sized humanoid robot boxing tournament.

A truly staggering number of AI-powered humanoid robots are emerging from Shenzhen, the booming Chinese tech hub. Shenzhen Dobot, which rose from a Kickstarter campaign to become an industrial automation leader, says its first humanoid robot, Atom, has entered mass production. Atom is positioned as a general-purpose cross-industry worker. Priced around $27,000, Atom boasts fine motor control that’s precise enough to pick up a cherry by the stem. Another major player is Pudu Robotics, which recently shipped its 100,000th service robot. Pudu is commercializing its wheeled and bipedal humanoids using its sizable customer base. Its flagship is the PUDU D9, a full-sized biped built to serve in places like warehouses, stores, and hotels. It sells for between $20,000 and $30,000. A newer firm, AI Squared, recently closed a funding round worth hundreds of millions of yuan to rush its Alpha Bot 2 general-purpose humanoid to market. The startup, founded in 2023, says its AI combines slow reasoning and fast motion planning so its robots can plan, talk, and move simultaneously. An even newer firm, Lumos Robotics, has reportedly raised nearly $28 million in angel funding to develop a full-stack humanoid robotics platform. The second-generation iteration of its flagship robot, the LUS 2, recently demonstrated the ability to get up from the ground in just a second. According to Lumos, the next-gen bot features upgraded actuators and sensors for athletic-level dexterity. LimX Dynamics, known for its agile quadrupeds and bipeds, just shared footage showcasing its CL-3 humanoid’s lifelike walking gait and gestures. LimX says its flagship humanoid can watch human movement videos and replicate them via motion conversion, with no hand coding required. Just a year after its establishment, the startup DIGIT has unveiled multiple lines of sci-fi-inspired humanoids. Its Starwalker robots switch between legged and wheeled locomotion to cover more than 10,000 square meters across multiple floors. They’re available in five different colors. DIGIT also has a robot named Xia Lan with a humanlike face that can show a range of expressions and emotions. The leading Chinese robotics firm UBTECH also recently introduced its first hyper-realistic humanoid robot, Una, intended for applications like customer service and event marketing. UBTECH says it’s begun mass-producing its Walker S humanoid robots that are reportedly helping assemble iPhones for Foxconn. Footage of a so-called intelligent swarm of these humanoids at a Zeekr factory shocked the world. Another EV maker, Xpeng, plans to start mass-producing its Iron humanoids in 2026. The robot reportedly stole the show during the 2025 Shanghai Auto Week. The Shenzhen firm that’s gotten the most attention outside the usual tech echo chambers is Engine AI, which is planning the world’s first full-sized humanoid robot boxing tournament.

Mike Kalil

11,408 Aufrufe • vor 1 Jahr

China unveils humanoid robot worker with brain that runs 275 trillion ops/sec | Jijo Malayil, Interesting Engineering In tests, SUYUAN used vision and joint control to sort and move crates of various sizes, greatly improving warehouse productivity. Chinese manufacturing firm Shanghai Electric has unveiled its first self-developed industrial humanoid robot, “SUYUAN,” marking a major milestone in its robotics journey. Debuting at the World Artificial Intelligence Conference (WAIC 2025) on July 26 in Shanghai, SUYUAN boasts 38 degrees of freedom and 275 TOPS of on-device computing power, enabling precise operations and fluid movements. According to the firm, designed for diverse industrial use, the robot showcases Shanghai Electric’s end-to-end capabilities—from core tech to integrated solutions—and reinforces its commitment to next-gen industrial automation through a full industry chain strategy. At WAIC 2025, Shanghai Electric also unveiled a new joint venture with Johnson Electric for next-gen humanoid robotics and showcased its “LINGKE” dual-arm robot. Recently, Hangzhou-based Unitree Robotics launched the R1 humanoid with 26 joints for $5,900, showcasing athletic feats like cartwheels, running, and quick recovery. Smart factory assistant Shanghai Electric claims SUYUAN, equipped with 38 degrees of freedom (DoF) and a powerful 275 TOPS on-device computing processor, delivers fluid, human-like movements and high-precision operations across various industrial scenarios. Its advanced articulation and real-time processing capabilities make it highly adaptable, enabling smooth execution of complex tasks in dynamic work environments. SUYUAN, who weighs 110 pounds (50 kilograms) and is 5 feet 6 inches (167 cm) tall, was designed to have human-like proportions. Its 38-DoF articulation offers dexterity, allowing for both wide-range motion and sensitive manipulation. With a single arm, the robot can lift objects up to 4.4 pounds (2 kilograms) in weight and carry a total payload of up to 22 pounds (10 kilograms). With a walking pace of 3.1 miles per hour (5 km/h), SUYUAN is ideal for environments including assembly lines, warehousing, and logistics, according to a statement. To navigate complex industrial settings, SUYUAN combines LiDAR and binocular vision for self-guided mobility. Its 275-TOPS AI processor enables rapid data analysis and integration with large language models, allowing it to understand tasks in natural language and handle objects adaptively, reports Fox 44 News. In pilot demonstrations, the robot successfully identified, picked, and relocated crates of varying sizes using advanced computer vision and coordinated joint control—delivering measurable gains in warehouse efficiency. The company claims that SUYUAN’s launch represents a major turning point in Shanghai Electric’s foray into humanoid robotics and strengthens its vertically integrated approach to industrial automation solutions. Intelligent task handling Shanghai Electric also demonstrated its most recent developments in intelligent manufacturing at WAIC 2025, introducing a new joint venture with Johnson Electric centered on next-generation humanoid robotics and showcasing the “LINGKE” dual-arm robot. With its high-precision operations, adaptive teamwork, and closed-loop data capabilities, the LINGKE robot demonstrated live talents in handling complicated production jobs. LINGKE is made to do more than just replace human labor; it uses compliant force control and bimanual coordination to relieve workers of high-intensity, repetitive jobs. According to the company, the robot enhances operational efficiency by up to five times. Its core strength lies in a Data-Model-Deployment closed-loop system that starts with operational data, followed by data cleansing, model training, live deployment, and feedback-driven optimization—enabling autonomous learning and workflow improvement. Also at the event, Shanghai Electric and Johnson Electric introduced advanced hardware modules for humanoid robots, including rotary joints, linear joints, and dexterous finger joints. These components are designed to support smooth, precise, and quiet motion performance across robotics systems, reports Stock Titan. The joint venture announced two strategic agreements: a first-unit supply deal with the National and Local Co-Built Humanoid Robotics Innovation Center (Qinglong Project) and a cooperation memorandum with Fourier Robotics. Read more:

China unveils humanoid robot worker with brain that runs 275 trillion ops/sec | Jijo Malayil, Interesting Engineering In tests, SUYUAN used vision and joint control to sort and move crates of various sizes, greatly improving warehouse productivity. Chinese manufacturing firm Shanghai Electric has unveiled its first self-developed industrial humanoid robot, “SUYUAN,” marking a major milestone in its robotics journey. Debuting at the World Artificial Intelligence Conference (WAIC 2025) on July 26 in Shanghai, SUYUAN boasts 38 degrees of freedom and 275 TOPS of on-device computing power, enabling precise operations and fluid movements. According to the firm, designed for diverse industrial use, the robot showcases Shanghai Electric’s end-to-end capabilities—from core tech to integrated solutions—and reinforces its commitment to next-gen industrial automation through a full industry chain strategy. At WAIC 2025, Shanghai Electric also unveiled a new joint venture with Johnson Electric for next-gen humanoid robotics and showcased its “LINGKE” dual-arm robot. Recently, Hangzhou-based Unitree Robotics launched the R1 humanoid with 26 joints for $5,900, showcasing athletic feats like cartwheels, running, and quick recovery. Smart factory assistant Shanghai Electric claims SUYUAN, equipped with 38 degrees of freedom (DoF) and a powerful 275 TOPS on-device computing processor, delivers fluid, human-like movements and high-precision operations across various industrial scenarios. Its advanced articulation and real-time processing capabilities make it highly adaptable, enabling smooth execution of complex tasks in dynamic work environments. SUYUAN, who weighs 110 pounds (50 kilograms) and is 5 feet 6 inches (167 cm) tall, was designed to have human-like proportions. Its 38-DoF articulation offers dexterity, allowing for both wide-range motion and sensitive manipulation. With a single arm, the robot can lift objects up to 4.4 pounds (2 kilograms) in weight and carry a total payload of up to 22 pounds (10 kilograms). With a walking pace of 3.1 miles per hour (5 km/h), SUYUAN is ideal for environments including assembly lines, warehousing, and logistics, according to a statement. To navigate complex industrial settings, SUYUAN combines LiDAR and binocular vision for self-guided mobility. Its 275-TOPS AI processor enables rapid data analysis and integration with large language models, allowing it to understand tasks in natural language and handle objects adaptively, reports Fox 44 News. In pilot demonstrations, the robot successfully identified, picked, and relocated crates of varying sizes using advanced computer vision and coordinated joint control—delivering measurable gains in warehouse efficiency. The company claims that SUYUAN’s launch represents a major turning point in Shanghai Electric’s foray into humanoid robotics and strengthens its vertically integrated approach to industrial automation solutions. Intelligent task handling Shanghai Electric also demonstrated its most recent developments in intelligent manufacturing at WAIC 2025, introducing a new joint venture with Johnson Electric centered on next-generation humanoid robotics and showcasing the “LINGKE” dual-arm robot. With its high-precision operations, adaptive teamwork, and closed-loop data capabilities, the LINGKE robot demonstrated live talents in handling complicated production jobs. LINGKE is made to do more than just replace human labor; it uses compliant force control and bimanual coordination to relieve workers of high-intensity, repetitive jobs. According to the company, the robot enhances operational efficiency by up to five times. Its core strength lies in a Data-Model-Deployment closed-loop system that starts with operational data, followed by data cleansing, model training, live deployment, and feedback-driven optimization—enabling autonomous learning and workflow improvement. Also at the event, Shanghai Electric and Johnson Electric introduced advanced hardware modules for humanoid robots, including rotary joints, linear joints, and dexterous finger joints. These components are designed to support smooth, precise, and quiet motion performance across robotics systems, reports Stock Titan. The joint venture announced two strategic agreements: a first-unit supply deal with the National and Local Co-Built Humanoid Robotics Innovation Center (Qinglong Project) and a cooperation memorandum with Fourier Robotics. Read more:

Owen Gregorian

51,638 Aufrufe • vor 11 Monaten

I don’t know if we live in a Matrix, but I know for sure that robots will spend most of their lives in simulation. Let machines train machines. I’m excited to introduce DexMimicGen, a massive-scale synthetic data generator that enables a humanoid robot to learn complex skills from only a handful of human demonstrations. Yes, as few as 5! DexMimicGen addresses the biggest pain point in robotics: where do we get data? Unlike with LLMs, where vast amounts of texts are readily available, you cannot simply download motor control signals from the internet. So researchers teleoperate the robots to collect motion data via XR headsets. They have to repeat the same skill over and over and over again, because neural nets are data hungry. This is a very slow and uncomfortable process. At NVIDIA, we believe the majority of high-quality tokens for robot foundation models will come from simulation. What DexMimicGen does is to trade GPU compute time for human time. It takes one motion trajectory from human, and multiplies into 1000s of new trajectories. A robot brain trained on this augmented dataset will generalize far better in the real world. Think of DexMimicGen as a learning signal amplifier. It maps a small dataset to a large (de facto infinite) dataset, using physics simulation in the loop. In this way, we free humans from babysitting the bots all day. The future of robot data is generative. The future of the entire robot learning pipeline will also be generative. 🧵

I don’t know if we live in a Matrix, but I know for sure that robots will spend most of their lives in simulation. Let machines train machines. I’m excited to introduce DexMimicGen, a massive-scale synthetic data generator that enables a humanoid robot to learn complex skills from only a handful of human demonstrations. Yes, as few as 5! DexMimicGen addresses the biggest pain point in robotics: where do we get data? Unlike with LLMs, where vast amounts of texts are readily available, you cannot simply download motor control signals from the internet. So researchers teleoperate the robots to collect motion data via XR headsets. They have to repeat the same skill over and over and over again, because neural nets are data hungry. This is a very slow and uncomfortable process. At NVIDIA, we believe the majority of high-quality tokens for robot foundation models will come from simulation. What DexMimicGen does is to trade GPU compute time for human time. It takes one motion trajectory from human, and multiplies into 1000s of new trajectories. A robot brain trained on this augmented dataset will generalize far better in the real world. Think of DexMimicGen as a learning signal amplifier. It maps a small dataset to a large (de facto infinite) dataset, using physics simulation in the loop. In this way, we free humans from babysitting the bots all day. The future of robot data is generative. The future of the entire robot learning pipeline will also be generative. 🧵

Jim Fan

165,246 Aufrufe • vor 1 Jahr

Vidaio 2026 Roadmap (and a bit of 2025): Building The Next Phase of AI-Driven Video Infrastructure We listened to the market and are building practical, sought-after, real-world applicable products. Our 2026 roadmap is focused on automation, intelligence, accessibility, and scale. It’s ambitious, but so are we! Here’s what’s live….. and what we’re building next! (If there are too many words below, just watch this awesome video created by the legendary DankEngine (τ,τ)) Core Infrastructure (Live) - Launched: April 1st Market need: Decentralised, affordable, scalable video processing for high-volume video workloads. The subnet forms the backbone for AI-driven video tasks, enabling: -Parallel processing -Cost efficiency at scale -Continuous product innovation AI Video Upscaling (Live) Market need: Re-purposing legacy content for modern screens. Upscaling unlocks: -Reuse of legacy SD/HD content -Platform-ready delivery for modern displays -Reduced re-production costs Video Compression (Live) Market need: Reduce rising storage and delivery costs while maintaining high perceptual quality. Our AI-driven compression pipeline is designed to: -Optimise bitrate without perceptual quality loss -Support modern codecs -Reduce CDN and storage costs at scale Vidaio Studio (Live) Market need: AI- Driven engineering-grade control in one UI Features: -Multiple codecs -Multiple resolutions -Flexible encoding modes Advanced Post Production tools Market need: Automation replacing manual post-production. Coming enhancements: -Frame rate conversion -Colour correction -HDR processing -De-noise -Stabilisation These capabilities shift traditionally manual workflows into real-time AI processing. GenAI Video Enhancement Market need: Unparalleled video quality enhancement GenAI models enable: -Content-aware enhancement -Scene-level optimisation -Reviving bad quality and unusable content Access Services (New Pillar) Market need: Regulation, inclusivity, and global reach. Built-in accessibility services: -Subtitles -Closed captions -Audio description Accessibility is no longer optional; it’s required legislation. Video Streaming Market need: Low latency, high quality, decentralised streaming. Our streaming roadmap focuses on: -Optimised delivery pipelines -Leveraging current video processing tools -Decentralised delivery Truly decentralised, high-quality video streaming run on the Bittensor network. AI Colourisation Market need: Reviving legacy content and accelerating localisation. AI colourisation enables: -Restoration of black-and-white and faded archival footage -Faster remastering pipelines for broadcasters and studios -Consistent colour application at scale without manual grading Unlocking new commercial value from existing libraries. GenAI Lip Sync Market need: Localisation, dubbing, and global content expansion. GenAI lip sync enables: -High-quality localisation -Bringing premium content to multiple new audiences -Natural facial motion via advanced face-mapping workflows Meet the growing demand for multilingual content by delivering seamless lip syncing.

Vidaio 2026 Roadmap (and a bit of 2025): Building The Next Phase of AI-Driven Video Infrastructure We listened to the market and are building practical, sought-after, real-world applicable products. Our 2026 roadmap is focused on automation, intelligence, accessibility, and scale. It’s ambitious, but so are we! Here’s what’s live….. and what we’re building next! (If there are too many words below, just watch this awesome video created by the legendary DankEngine (τ,τ)) Core Infrastructure (Live) - Launched: April 1st Market need: Decentralised, affordable, scalable video processing for high-volume video workloads. The subnet forms the backbone for AI-driven video tasks, enabling: -Parallel processing -Cost efficiency at scale -Continuous product innovation AI Video Upscaling (Live) Market need: Re-purposing legacy content for modern screens. Upscaling unlocks: -Reuse of legacy SD/HD content -Platform-ready delivery for modern displays -Reduced re-production costs Video Compression (Live) Market need: Reduce rising storage and delivery costs while maintaining high perceptual quality. Our AI-driven compression pipeline is designed to: -Optimise bitrate without perceptual quality loss -Support modern codecs -Reduce CDN and storage costs at scale Vidaio Studio (Live) Market need: AI- Driven engineering-grade control in one UI Features: -Multiple codecs -Multiple resolutions -Flexible encoding modes Advanced Post Production tools Market need: Automation replacing manual post-production. Coming enhancements: -Frame rate conversion -Colour correction -HDR processing -De-noise -Stabilisation These capabilities shift traditionally manual workflows into real-time AI processing. GenAI Video Enhancement Market need: Unparalleled video quality enhancement GenAI models enable: -Content-aware enhancement -Scene-level optimisation -Reviving bad quality and unusable content Access Services (New Pillar) Market need: Regulation, inclusivity, and global reach. Built-in accessibility services: -Subtitles -Closed captions -Audio description Accessibility is no longer optional; it’s required legislation. Video Streaming Market need: Low latency, high quality, decentralised streaming. Our streaming roadmap focuses on: -Optimised delivery pipelines -Leveraging current video processing tools -Decentralised delivery Truly decentralised, high-quality video streaming run on the Bittensor network. AI Colourisation Market need: Reviving legacy content and accelerating localisation. AI colourisation enables: -Restoration of black-and-white and faded archival footage -Faster remastering pipelines for broadcasters and studios -Consistent colour application at scale without manual grading Unlocking new commercial value from existing libraries. GenAI Lip Sync Market need: Localisation, dubbing, and global content expansion. GenAI lip sync enables: -High-quality localisation -Bringing premium content to multiple new audiences -Natural facial motion via advanced face-mapping workflows Meet the growing demand for multilingual content by delivering seamless lip syncing.

Vidaio

16,996 Aufrufe • vor 6 Monaten

Elon Musk just said on camera that America CANNOT beat China with humans alone. His exact words: "We definitely can't win on the human front." This is the richest man on the planet. Advisor to the president. And he's saying the US is cooked without robots. Here's why he's probably right: China is about to hit 3x the total US electricity output. Elon says electricity is a direct proxy for industrial capacity. Three times the electricity means roughly three times the manufacturing power. They have 4x the population. And Elon said something that'll piss a lot of people off: "The average work ethic in China is higher than in the US." America's birth rate has been below replacement since 1971. More people retiring every year. Fewer entering the workforce. No amount of policy, tariffs, or reshoring fixes that math. His solution: Optimus. He literally called it "the infinite money glitch." Because you can use robots to build more robots. Here's what makes this different from every other robotics play: 3 things are hard about humanoid robots. 1. Real-world AI 2. The hand 3. Scale manufacturing And the hand is harder than EVERYTHING else combined. Tesla had to custom design every single actuator, motor, gear, sensor, and control system from physics first principles. There is no supply chain. Nothing comes from a catalog. Not a single component. But they've solved it. Optimus has full human-hand dexterity with all degrees of freedom. No other company has demonstrated this. Not even in demos. Then you layer on what Elon described as a "recursive multiplicative exponential": Exponential growth in digital intelligence. Multiplied by exponential growth in chip capability. Multiplied by exponential growth in electromechanical dexterity. And then the robots start building robots. He's targeting 1 million Optimus units per year at Gen 3. Ten million at Gen 4. The first use case? Any operation that runs 24/7. Factories, warehouses, refineries, every continuous operation on the planet. Robots don't sleep, don't overheat, don't quit. And here's the part that should terrify every other country: America can't build enough ore refineries because Americans don't want refining jobs. China does 2x more ore refining than the rest of the world COMBINED. They dominate rare earths. The US literally mines rare earth ore, puts it on a train, ships it to CHINA for refining, then ships the finished product back. Optimus wants to fix that. Not by convincing Americans to take refining jobs but by making humans optional in the process entirely. And Elon also said something else that went completely under the radar: "Pure AI, pure robotics corporations will FAR outperform any corporations that have humans in the loop." He compared it to spreadsheets replacing human computers. Entire skyscrapers used to be filled with humans doing calculations. A laptop replaced all of them. Now imagine replacing some cells in your spreadsheet with humans again. It would be WORSE. That's his prediction for the future of corporations. Mixed human-AI companies lose to pure AI-robotics companies. Not by a little. By orders of magnitude. The race isn't AI models anymore. It's not chatbots or benchmarks or who scores higher on some test. The race is physical. Whoever builds the robot army first wins the entire global economy. China has the workers. The factories. The electricity. The refining. The supply chains. America has one card left to play... And it's a 5'11" humanoid robot that Elon calls the infinite money glitch. This is either the move that saves American manufacturing. Or the most disastrous science project in history.

Elon Musk just said on camera that America CANNOT beat China with humans alone. His exact words: "We definitely can't win on the human front." This is the richest man on the planet. Advisor to the president. And he's saying the US is cooked without robots. Here's why he's probably right: China is about to hit 3x the total US electricity output. Elon says electricity is a direct proxy for industrial capacity. Three times the electricity means roughly three times the manufacturing power. They have 4x the population. And Elon said something that'll piss a lot of people off: "The average work ethic in China is higher than in the US." America's birth rate has been below replacement since 1971. More people retiring every year. Fewer entering the workforce. No amount of policy, tariffs, or reshoring fixes that math. His solution: Optimus. He literally called it "the infinite money glitch." Because you can use robots to build more robots. Here's what makes this different from every other robotics play: 3 things are hard about humanoid robots. 1. Real-world AI 2. The hand 3. Scale manufacturing And the hand is harder than EVERYTHING else combined. Tesla had to custom design every single actuator, motor, gear, sensor, and control system from physics first principles. There is no supply chain. Nothing comes from a catalog. Not a single component. But they've solved it. Optimus has full human-hand dexterity with all degrees of freedom. No other company has demonstrated this. Not even in demos. Then you layer on what Elon described as a "recursive multiplicative exponential": Exponential growth in digital intelligence. Multiplied by exponential growth in chip capability. Multiplied by exponential growth in electromechanical dexterity. And then the robots start building robots. He's targeting 1 million Optimus units per year at Gen 3. Ten million at Gen 4. The first use case? Any operation that runs 24/7. Factories, warehouses, refineries, every continuous operation on the planet. Robots don't sleep, don't overheat, don't quit. And here's the part that should terrify every other country: America can't build enough ore refineries because Americans don't want refining jobs. China does 2x more ore refining than the rest of the world COMBINED. They dominate rare earths. The US literally mines rare earth ore, puts it on a train, ships it to CHINA for refining, then ships the finished product back. Optimus wants to fix that. Not by convincing Americans to take refining jobs but by making humans optional in the process entirely. And Elon also said something else that went completely under the radar: "Pure AI, pure robotics corporations will FAR outperform any corporations that have humans in the loop." He compared it to spreadsheets replacing human computers. Entire skyscrapers used to be filled with humans doing calculations. A laptop replaced all of them. Now imagine replacing some cells in your spreadsheet with humans again. It would be WORSE. That's his prediction for the future of corporations. Mixed human-AI companies lose to pure AI-robotics companies. Not by a little. By orders of magnitude. The race isn't AI models anymore. It's not chatbots or benchmarks or who scores higher on some test. The race is physical. Whoever builds the robot army first wins the entire global economy. China has the workers. The factories. The electricity. The refining. The supply chains. America has one card left to play... And it's a 5'11" humanoid robot that Elon calls the infinite money glitch. This is either the move that saves American manufacturing. Or the most disastrous science project in history.

Ricardo

49,820 Aufrufe • vor 5 Monaten