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๐—–๐—ต๐—ถ๐—ป๐—ฎ ๐—ถ๐˜€ ๐—ณ๐—ถ๐—ป๐—ถ๐˜€๐—ต๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ฒ ๐—ต๐˜‚๐—บ๐—ฎ๐—ป๐—ผ๐—ถ๐—ฑ ๐—ฟ๐—ผ๐—ฏ๐—ผ๐˜ ๐—ฟ๐—ฎ๐—ฐ๐—ฒ ๐—ฏ๐—ฒ๐—ณ๐—ผ๐—ฟ๐—ฒ ๐—บ๐—ผ๐˜€๐˜ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐—ช๐—ฒ๐˜€๐˜ ๐—ฟ๐—ฒ๐—ฎ๐—น๐—ถ๐˜‡๐—ฒ๐˜€ ๐—ถ๐˜ ๐—ต๐—ฎ๐˜€ ๐˜€๐˜๐—ฎ๐—ฟ๐˜๐—ฒ๐—ฑ. AGIBOT held its Partner Conference in Shanghai last week. The real headline wasn't the new hardware. It was their CTO standing on stage, telling investors that humanoid R&D season is over. 2026, he...

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Shruti

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The First Manufacturer to Mass-Produce 5,000 Humanoid Robots AgiBOT rolled off its 5,000th humanoid robot (a Lingxi X2) today, marking a milestone for both the company and the humanoid robot industry as a whole: a significant step towards large-scale deployment in the real world. AgiBOT co-founder and CTO Peng Zhihui stated in a live said that these 5,000 units include the Yuanzheng series (1742), the Lingxi series (1846), and the Genie series (1412). These humanoid robots will be deployed in various settings, including scientific research, entertainment, shopping malls, factories, and warehouses. This also signals that AgiBOT has the capacity for mass production and is ready to meet future surges in customer demand. Its production partner, LingyiTech, was the main force behind the assembly of AgiBOT's 5,000 humanoid robots this year, and they are planning an automated production line with an annual capacity of 500,000 units. Next year will be a milestone year for humanoid robots, reaching 10,000 units annually. Including Tesla, 1X, UBTECHโ€ฆ
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The First Manufacturer to Mass-Produce 5,000 Humanoid Robots AgiBOT rolled off its 5,000th humanoid robot (a Lingxi X2) today, marking a milestone for both the company and the humanoid robot industry as a whole: a significant step towards large-scale deployment in the real world. AgiBOT co-founder and CTO Peng Zhihui stated in a live said that these 5,000 units include the Yuanzheng series (1742), the Lingxi series (1846), and the Genie series (1412). These humanoid robots will be deployed in various settings, including scientific research, entertainment, shopping malls, factories, and warehouses. This also signals that AgiBOT has the capacity for mass production and is ready to meet future surges in customer demand. Its production partner, LingyiTech, was the main force behind the assembly of AgiBOT's 5,000 humanoid robots this year, and they are planning an automated production line with an annual capacity of 500,000 units. Next year will be a milestone year for humanoid robots, reaching 10,000 units annually. Including Tesla, 1X, UBTECHโ€ฆ

CyberRobo

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AGIBOT just dominated its debut at the 2nd World Humanoid Robot Games in Beijing. The company finished #1 in both the gold medal table and the overall medal table: โ€ข 18 gold medals โ€ข 16 silver medals โ€ข 12 bronze medals โ€ข 46 medals total What stands out is the hardware behind those results. AGIBOT says its competition lineup, including OmniHand, G2, A3 and X2, consists of robots already in mass production or deployed in real-world applications, rather than machines built only for competition. Some of the strongest results: โ€ข OmniHand reached all 8 dexterous-hand finals and won 7 gold medals, including Block Building, Powder Weighing and Bean Picking with Tweezers. โ€ข AGIBOT A3 won gold in Tai Chi, testing whole-body coordination, balance and controlled posture transitions. โ€ข AGIBOT X2 took gold in the obstacle race. โ€ข AGIBOT also won 5 gold medals across scenario-based tasks including hotel services, library operations and emergency response. โ€ข AGIBOT G2, used during the Games, has already been deployed in factories operated by companies including Longcheer and SAIC. AGIBOT also announced in June 2026 that its 15,000th robot had rolled off the production line. The World Humanoid Robot Games are becoming much more than a showcase of running and dancing robots. Dexterous manipulation, industrial tasks, service work and emergency-response scenarios are increasingly part of the competition. For AGIBOT, 46 medals provide another public test of the same robotic platforms it is trying to move from demonstrations into real-world deployment.
1:07

AGIBOT just dominated its debut at the 2nd World Humanoid Robot Games in Beijing. The company finished #1 in both the gold medal table and the overall medal table: โ€ข 18 gold medals โ€ข 16 silver medals โ€ข 12 bronze medals โ€ข 46 medals total What stands out is the hardware behind those results. AGIBOT says its competition lineup, including OmniHand, G2, A3 and X2, consists of robots already in mass production or deployed in real-world applications, rather than machines built only for competition. Some of the strongest results: โ€ข OmniHand reached all 8 dexterous-hand finals and won 7 gold medals, including Block Building, Powder Weighing and Bean Picking with Tweezers. โ€ข AGIBOT A3 won gold in Tai Chi, testing whole-body coordination, balance and controlled posture transitions. โ€ข AGIBOT X2 took gold in the obstacle race. โ€ข AGIBOT also won 5 gold medals across scenario-based tasks including hotel services, library operations and emergency response. โ€ข AGIBOT G2, used during the Games, has already been deployed in factories operated by companies including Longcheer and SAIC. AGIBOT also announced in June 2026 that its 15,000th robot had rolled off the production line. The World Humanoid Robot Games are becoming much more than a showcase of running and dancing robots. Dexterous manipulation, industrial tasks, service work and emergency-response scenarios are increasingly part of the competition. For AGIBOT, 46 medals provide another public test of the same robotic platforms it is trying to move from demonstrations into real-world deployment.

Techniahqrobot | humanoid robots

14,869 Aufrufe โ€ข vor 27 Tagen

๐Ÿ”ฅ JUST IN: Open-source robotics dataset from 100% real-world scenarios! ๐Ÿคฏ Chinese robotics company AGIBOT just released AGIBOT WORLD 2026, an open-source dataset systematically covering key embodied AI research directions. Built entirely from real-world environments: commercial spaces, and homes. Collected using AGIBOT G2 robots in free-form collection mode, providing structured, accurately annotated, high-quality data. Digital twin technology creates 1:1 scale replicas in simulation matching the real environments. Both real-world and simulation data are open-sourced. The AGIBOT G2 platform collects multiple data types simultaneously: RGB(D) cameras, tactile sensors, force sensors, LiDAR, IMU, and full-body joint states. Whole-body control coordinates arms, waist, and hands for complex tasks. First-person teleoperation lets operators control the robot from its perspective. The tasks covered are fine-grained manipulation, ultra-long-horizon tasks, spatial navigation, dual-arm coordination, and multi-agent/human-robot collaboration. The dataset includes error-recovery trajectories with annotations. Most datasets only show successful demonstrations. AGIBOT includes failures and how the robot recovers, teaching models how to handle mistakes. After collection, data is tested through policy training and real-robot deployment to ensure quality. Then processed through industrial quality control with multiple screening and cleaning rounds. Making it open-source accelerates embodied AI research by giving researchers access to high-quality real-world robot data at scale. ๐Ÿ‡จ๐Ÿ‡ณ Learn more here: ~~ โ™ป๏ธ Join the weekly robotics newsletter, and never miss any news โ†’
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๐Ÿ”ฅ JUST IN: Open-source robotics dataset from 100% real-world scenarios! ๐Ÿคฏ Chinese robotics company AGIBOT just released AGIBOT WORLD 2026, an open-source dataset systematically covering key embodied AI research directions. Built entirely from real-world environments: commercial spaces, and homes. Collected using AGIBOT G2 robots in free-form collection mode, providing structured, accurately annotated, high-quality data. Digital twin technology creates 1:1 scale replicas in simulation matching the real environments. Both real-world and simulation data are open-sourced. The AGIBOT G2 platform collects multiple data types simultaneously: RGB(D) cameras, tactile sensors, force sensors, LiDAR, IMU, and full-body joint states. Whole-body control coordinates arms, waist, and hands for complex tasks. First-person teleoperation lets operators control the robot from its perspective. The tasks covered are fine-grained manipulation, ultra-long-horizon tasks, spatial navigation, dual-arm coordination, and multi-agent/human-robot collaboration. The dataset includes error-recovery trajectories with annotations. Most datasets only show successful demonstrations. AGIBOT includes failures and how the robot recovers, teaching models how to handle mistakes. After collection, data is tested through policy training and real-robot deployment to ensure quality. Then processed through industrial quality control with multiple screening and cleaning rounds. Making it open-source accelerates embodied AI research by giving researchers access to high-quality real-world robot data at scale. ๐Ÿ‡จ๐Ÿ‡ณ Learn more here: ~~ โ™ป๏ธ Join the weekly robotics newsletter, and never miss any news โ†’

Lukas Ziegler

40,583 Aufrufe โ€ข vor 5 Monaten

Another win for open-source robotics! ๐Ÿ”ฅ Hugging Face just released a fully open-source humanoid robot, and you can build one for $2,500. I'm a huge advocate of open-source in robotics space. Why? Robotics is too hard to solve alone. So lowering the entry point is crucial. Also, ROS proved open ecosystems create lasting industry standards. So let's have a look at the new member of humanoids family! LeRobot Humanoid is a 3D-printed, bipedal humanoid platform designed for real robot learning experiments. It's a complete and, buildable robot Anddddd yes, it's a full stack release: โ†’ Hardware files, bill of materials and full assembly documentation โ†’ Simulation assets and training environments โ†’ Runtime tools for calibration and real-world control โ†’ Sim-to-real identification pipeline When a part breaks, reprint it. When a design choice doesn't work, modify it and test again. The whole point is fast iteration on real hardware, not treating the robot as a fixed artefact. The timing is not a coincidence. As foundation models for robotics mature, the field desperately needs open physical platforms to train, validate and deploy them on. clem ๐Ÿค— LET'S GO!!! Build it here: ~~ โ™ป๏ธ Join the weekly robotics newsletter, and never miss any news โ†’
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Another win for open-source robotics! ๐Ÿ”ฅ Hugging Face just released a fully open-source humanoid robot, and you can build one for $2,500. I'm a huge advocate of open-source in robotics space. Why? Robotics is too hard to solve alone. So lowering the entry point is crucial. Also, ROS proved open ecosystems create lasting industry standards. So let's have a look at the new member of humanoids family! LeRobot Humanoid is a 3D-printed, bipedal humanoid platform designed for real robot learning experiments. It's a complete and, buildable robot Anddddd yes, it's a full stack release: โ†’ Hardware files, bill of materials and full assembly documentation โ†’ Simulation assets and training environments โ†’ Runtime tools for calibration and real-world control โ†’ Sim-to-real identification pipeline When a part breaks, reprint it. When a design choice doesn't work, modify it and test again. The whole point is fast iteration on real hardware, not treating the robot as a fixed artefact. The timing is not a coincidence. As foundation models for robotics mature, the field desperately needs open physical platforms to train, validate and deploy them on. clem ๐Ÿค— LET'S GO!!! Build it here: ~~ โ™ป๏ธ Join the weekly robotics newsletter, and never miss any news โ†’

Lukas Ziegler

20,457 Aufrufe โ€ข vor 4 Monaten

China is leading in the humanoid race. ๐Ÿ‡จ๐Ÿ‡ณ UBTECH Robotics has officially shipped hundreds of its Walker S2 humanoids, not to demos or showcases, but directly into factories and logistics centers. Of course, as is often the case in our robotic world, there were doubts and accusations that it was CGI. This is one of the first large-scale industrial rollouts anywhere in the world. The robots are going to partners like BYD, Geely Auto, FAW-Volkswagen, Dongfeng Liuzhou, and Foxconn, where theyโ€™ll be used in frontline production tasks. Let's look at monehh: so UBTECHโ€™s 2025 order book now exceeds 800M yuan (~$113M), and the company targets 500 units delivered by year-end. The Walker S2 is built for continuous operation, including an autonomous battery-swap system that lets it replace its own power pack and keep working without downtime. While Europe is still debating standards and long-term frameworks, China is already doing full production, testing, and integration at scale. ๐Ÿ‡ช๐Ÿ‡บ In the meantime, USA claims that Chinese robots are fake, and China casually keep shipping them. ๐Ÿ‡บ๐Ÿ‡ธ The challenge is no longer whether humanoids will be used in industry, itโ€™s who gets them deployed, reliable, and affordable first. And right now, Asia is the one shipping robots by the truckload. ~~ โ™ป๏ธ Join the weekly robotics newsletter, and never miss any news โ†’
0:52

China is leading in the humanoid race. ๐Ÿ‡จ๐Ÿ‡ณ UBTECH Robotics has officially shipped hundreds of its Walker S2 humanoids, not to demos or showcases, but directly into factories and logistics centers. Of course, as is often the case in our robotic world, there were doubts and accusations that it was CGI. This is one of the first large-scale industrial rollouts anywhere in the world. The robots are going to partners like BYD, Geely Auto, FAW-Volkswagen, Dongfeng Liuzhou, and Foxconn, where theyโ€™ll be used in frontline production tasks. Let's look at monehh: so UBTECHโ€™s 2025 order book now exceeds 800M yuan (~$113M), and the company targets 500 units delivered by year-end. The Walker S2 is built for continuous operation, including an autonomous battery-swap system that lets it replace its own power pack and keep working without downtime. While Europe is still debating standards and long-term frameworks, China is already doing full production, testing, and integration at scale. ๐Ÿ‡ช๐Ÿ‡บ In the meantime, USA claims that Chinese robots are fake, and China casually keep shipping them. ๐Ÿ‡บ๐Ÿ‡ธ The challenge is no longer whether humanoids will be used in industry, itโ€™s who gets them deployed, reliable, and affordable first. And right now, Asia is the one shipping robots by the truckload. ~~ โ™ป๏ธ Join the weekly robotics newsletter, and never miss any news โ†’

Lukas Ziegler

13,890 Aufrufe โ€ข vor 10 Monaten

China's humanoid robotics market is on fire. With orders expected to top 30,000 units this yearโ€”a tenfold jump from 2024's total of less than 3,000โ€”2025 is officially shaping up to be the "Year of Mass Production." This surge, driven by an expansion into new sectors like industrial manufacturing, logistics, and elder care, is reflected in a wave of new deals across the industry. Here's a look at some of the key commercial progress: Astribot: A 1,000-unit order for industrial and logistics deployment over two years. TianTai Robotics: Signed a major 10,000-unit order for caregiving robots. Noetix Robotics : Received over 2,000 intent orders in one month, valued at over 100 million yuan, with a focus on education and commercial performances. AgiBot: Expects to ship thousands of units this year and tens of thousands in 2026. Unitree Robotics: Has orders for thousands of units and is one of the most visible products in the industry. UBTech: Aims to deliver 500 industrial humanoids in 2025, with educational robot orders already exceeding 300 units. Robot Era: Delivered over 300 units by July 2025 with 500 more on hand. TLIBOT: Has around 1,000 intent orders. Galbot: Secured orders for its supermarket security robot, Galbot, in 100 stores. AIยฒ Robotics: Has nearly 500 orders for its general-purpose robots for industrial and public service scenarios. But hereโ€™s the crucial reality check. While the order boom is exciting, it doesn't automatically translate to fulfilled deliveries. Many companies lack the production capacity to keep up. A significant portion of these are "intent orders" or framework agreements, not guaranteed sales. Furthermore, the market is heavily B2B-focused, with consumer demand representing only about 5% of sales. Some orders are even symbolic, for public relations or strategic purposes. This โ€œorder frenzyโ€ is a starting point, not the finish line. The true test for China's humanoid robot industry isn't who can secure the biggest order, but who can consistently deliver on it and build a stable market for the future.
2:44

China's humanoid robotics market is on fire. With orders expected to top 30,000 units this yearโ€”a tenfold jump from 2024's total of less than 3,000โ€”2025 is officially shaping up to be the "Year of Mass Production." This surge, driven by an expansion into new sectors like industrial manufacturing, logistics, and elder care, is reflected in a wave of new deals across the industry. Here's a look at some of the key commercial progress: Astribot: A 1,000-unit order for industrial and logistics deployment over two years. TianTai Robotics: Signed a major 10,000-unit order for caregiving robots. Noetix Robotics : Received over 2,000 intent orders in one month, valued at over 100 million yuan, with a focus on education and commercial performances. AgiBot: Expects to ship thousands of units this year and tens of thousands in 2026. Unitree Robotics: Has orders for thousands of units and is one of the most visible products in the industry. UBTech: Aims to deliver 500 industrial humanoids in 2025, with educational robot orders already exceeding 300 units. Robot Era: Delivered over 300 units by July 2025 with 500 more on hand. TLIBOT: Has around 1,000 intent orders. Galbot: Secured orders for its supermarket security robot, Galbot, in 100 stores. AIยฒ Robotics: Has nearly 500 orders for its general-purpose robots for industrial and public service scenarios. But hereโ€™s the crucial reality check. While the order boom is exciting, it doesn't automatically translate to fulfilled deliveries. Many companies lack the production capacity to keep up. A significant portion of these are "intent orders" or framework agreements, not guaranteed sales. Furthermore, the market is heavily B2B-focused, with consumer demand representing only about 5% of sales. Some orders are even symbolic, for public relations or strategic purposes. This โ€œorder frenzyโ€ is a starting point, not the finish line. The true test for China's humanoid robot industry isn't who can secure the biggest order, but who can consistently deliver on it and build a stable market for the future.

RoboHub๐Ÿค–

199,146 Aufrufe โ€ข vor 1 Jahr

A Chinese robot just performed a flying side kick, a sword fight, and a fencing match. with no CGI or pre-programmed scripts. I made a video breaking it down with my honest takeawayโ€ฆ These are Kung Fu moves that take martial artists years to perfect. A machine just did them on camera, in real time, with the same precision as a trained human. The company behind this is called AGIBOT. They're based in Shanghai, and here is the number I keep coming back toโ€ฆAGIBOT shipped roughly 15,000 humanoid robots in the first half of 2026. That's more than every Western robotics company combined. The AGIBOT A3 Ultra is the commercial version. 700 TOPS of compute. LiDAR, surround-view cameras, dual depth sensors. It sees 360 degrees, positions itself within one centimeter accuracy, and predicts risks three meters ahead. It's designed to work 24/7 in factories, hotels, retail stores, and patrol routes. AGIBOT now controls 44% of the global humanoid robotics market. They're certified in China, the US, and Europe. Their robots can coordinate in swarms of over 100 units at once.
4:30

A Chinese robot just performed a flying side kick, a sword fight, and a fencing match. with no CGI or pre-programmed scripts. I made a video breaking it down with my honest takeawayโ€ฆ These are Kung Fu moves that take martial artists years to perfect. A machine just did them on camera, in real time, with the same precision as a trained human. The company behind this is called AGIBOT. They're based in Shanghai, and here is the number I keep coming back toโ€ฆAGIBOT shipped roughly 15,000 humanoid robots in the first half of 2026. That's more than every Western robotics company combined. The AGIBOT A3 Ultra is the commercial version. 700 TOPS of compute. LiDAR, surround-view cameras, dual depth sensors. It sees 360 degrees, positions itself within one centimeter accuracy, and predicts risks three meters ahead. It's designed to work 24/7 in factories, hotels, retail stores, and patrol routes. AGIBOT now controls 44% of the global humanoid robotics market. They're certified in China, the US, and Europe. Their robots can coordinate in swarms of over 100 units at once.

Shruti

548,282 Aufrufe โ€ข vor 26 Tagen

Last night, China Central Television (CCTV) aired its 2026 Chinese New Year Gala celebrating the Year of the Horse. The show featured a wide range of performances, including Unitree Robotics humanoid robots performing martial arts in sync with human dancers. Just a year ago, Unitreeโ€™s robots appeared at the same gala, but their movements looked stiff and mechanical. This year, they were noticeably more fluid and coordinated โ€” a remarkable improvement, even if theyโ€™re still likely operating under some level of remote supervision. When it comes to humanoid robotics, most of the visible momentum today seems to be coming from the U.S. and China. Companies like Tesla (with Optimus) and Boston Dynamics in the U.S., alongside rapidly advancing Chinese firms, dominate the headlines. So what happened to Europe and Japan? Japan was once seen as the global leader, especially with Hondaโ€™s ASIMO and SoftBank Roboticsโ€™ humanoid projects. However, ASIMO was retired, and much of Japanโ€™s robotics focus shifted toward industrial automation and service robots rather than full-scale general-purpose humanoids. Europe, meanwhile, remains strong in industrial robotics, research, and precision engineering โ€” with players like ABB and KUKA โ€” but hasnโ€™t pushed aggressively into commercial humanoid platforms at the same scale or speed as the U.S. and China. In short, itโ€™s less that Europe and Japan disappeared, and more that the center of gravity in humanoid robotics โ€” especially AI-driven, general-purpose humanoids โ€” has shifted toward U.S.โ€“China competition. Whether that gap widens or narrows will depend on breakthroughs in embodied AI, cost reduction, and real-world deployment over the next few years.
4:31

Last night, China Central Television (CCTV) aired its 2026 Chinese New Year Gala celebrating the Year of the Horse. The show featured a wide range of performances, including Unitree Robotics humanoid robots performing martial arts in sync with human dancers. Just a year ago, Unitreeโ€™s robots appeared at the same gala, but their movements looked stiff and mechanical. This year, they were noticeably more fluid and coordinated โ€” a remarkable improvement, even if theyโ€™re still likely operating under some level of remote supervision. When it comes to humanoid robotics, most of the visible momentum today seems to be coming from the U.S. and China. Companies like Tesla (with Optimus) and Boston Dynamics in the U.S., alongside rapidly advancing Chinese firms, dominate the headlines. So what happened to Europe and Japan? Japan was once seen as the global leader, especially with Hondaโ€™s ASIMO and SoftBank Roboticsโ€™ humanoid projects. However, ASIMO was retired, and much of Japanโ€™s robotics focus shifted toward industrial automation and service robots rather than full-scale general-purpose humanoids. Europe, meanwhile, remains strong in industrial robotics, research, and precision engineering โ€” with players like ABB and KUKA โ€” but hasnโ€™t pushed aggressively into commercial humanoid platforms at the same scale or speed as the U.S. and China. In short, itโ€™s less that Europe and Japan disappeared, and more that the center of gravity in humanoid robotics โ€” especially AI-driven, general-purpose humanoids โ€” has shifted toward U.S.โ€“China competition. Whether that gap widens or narrows will depend on breakthroughs in embodied AI, cost reduction, and real-world deployment over the next few years.

Ray

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Most robotics teams can make a robot moveโ€ฆ very few can make it work every day in the real world! @roboforce_inc was just featured in Jensen Huangโ€™s GTC keynote, not for a demo but for a robot they claim is already working in the field. Their system, TITAN, is built for industrial environments: โœ… 40 kg dual-arm payload โœ… millimeter-level precision โœ… 8 hours runtime โœ… early pilots in energy, logistics, and manufacturing They call it Physical AI: The focus is on getting robots to do the kind of labor that still depends on people: repetitive, risky, and physical. IMO, what stands out isnโ€™t the specs. Itโ€™s the claim of 11,000 robot ordersโ—๏ธ If even a fraction of that turns into real deployments, it would make RoboForce one of the most widely scaled robot platforms in the world!!?? The open question is whether this shift from prototype to production is real or just the next phase of robotics storytelling. It looks very promising to me. Itโ€™s also interesting how their founder openly pushes back against the humanoid trend, arguing for wheels over legs in real industrial settings. Itโ€™s an unusual perspective in a time when humanoids get most of the attention. If they are right, the next humanoid robotics wave might look less like a human and more like an industrial version. Seen at โ€”- Weekly robotics and AI insights. Subscribe free:
0:29

Most robotics teams can make a robot moveโ€ฆ very few can make it work every day in the real world! @roboforce_inc was just featured in Jensen Huangโ€™s GTC keynote, not for a demo but for a robot they claim is already working in the field. Their system, TITAN, is built for industrial environments: โœ… 40 kg dual-arm payload โœ… millimeter-level precision โœ… 8 hours runtime โœ… early pilots in energy, logistics, and manufacturing They call it Physical AI: The focus is on getting robots to do the kind of labor that still depends on people: repetitive, risky, and physical. IMO, what stands out isnโ€™t the specs. Itโ€™s the claim of 11,000 robot ordersโ—๏ธ If even a fraction of that turns into real deployments, it would make RoboForce one of the most widely scaled robot platforms in the world!!?? The open question is whether this shift from prototype to production is real or just the next phase of robotics storytelling. It looks very promising to me. Itโ€™s also interesting how their founder openly pushes back against the humanoid trend, arguing for wheels over legs in real industrial settings. Itโ€™s an unusual perspective in a time when humanoids get most of the attention. If they are right, the next humanoid robotics wave might look less like a human and more like an industrial version. Seen at โ€”- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

27,741 Aufrufe โ€ข vor 10 Monaten

Elon says China's an Ass-kicker-next-level Question on Q4 earnings call: "There's a surge of Chinese companies humanoids; what is Tesla's long-term competitive advantage?" Elon: "By far, the biggest competition for humanoid robots will be from China. China is good at manufacturing, and also in AI, judging from open models. To the best of my knowledge, we don't see significant competition outside of China. People outside of China underestimate China, but China's an ass-kicker next-level. We think we will be more capable than any robot under development in China. We'll be ahead in real-world intelligence and the electromechanical dexterity of the hand design. There are three hardest things for humanoid robots: - the hand - real-world AI - and scaling production Tesla is the only company that has all three of those components."
2:39

Elon says China's an Ass-kicker-next-level Question on Q4 earnings call: "There's a surge of Chinese companies humanoids; what is Tesla's long-term competitive advantage?" Elon: "By far, the biggest competition for humanoid robots will be from China. China is good at manufacturing, and also in AI, judging from open models. To the best of my knowledge, we don't see significant competition outside of China. People outside of China underestimate China, but China's an ass-kicker next-level. We think we will be more capable than any robot under development in China. We'll be ahead in real-world intelligence and the electromechanical dexterity of the hand design. There are three hardest things for humanoid robots: - the hand - real-world AI - and scaling production Tesla is the only company that has all three of those components."

The Humanoid Hub

114,545 Aufrufe โ€ข vor 7 Monaten

Our livestream has wrappedโ€”and the final result is in: 1,816 randomly selected parcels sorted per hour, with a success rate of over 98%. Since the beginning of this year, weโ€™ve worked through the entire loopโ€”from collecting real-world data and training the model to continuously testing and refining the system. We often ask ourselves why we remain committed to a purpose-built gripper. The answer is simple: not for hype, and not for a demo, but for real-world deployment. Our goal is to deliver high efficiency at a lower cost. Some jobs are dirty, dull, and dangerous. We want robots to take on more of that work, so people can focus on what is safer, more creative, and more meaningful. Weโ€™ll showcase the complete logistics sorting line live at WRC. Visit us in Hall C, Booth 107, and see it in action!
1:05:24

Our livestream has wrappedโ€”and the final result is in: 1,816 randomly selected parcels sorted per hour, with a success rate of over 98%. Since the beginning of this year, weโ€™ve worked through the entire loopโ€”from collecting real-world data and training the model to continuously testing and refining the system. We often ask ourselves why we remain committed to a purpose-built gripper. The answer is simple: not for hype, and not for a demo, but for real-world deployment. Our goal is to deliver high efficiency at a lower cost. Some jobs are dirty, dull, and dangerous. We want robots to take on more of that work, so people can focus on what is safer, more creative, and more meaningful. Weโ€™ll showcase the complete logistics sorting line live at WRC. Visit us in Hall C, Booth 107, and see it in action!

X Square Robot

728,029 Aufrufe โ€ข vor 1 Monat

11 years of humanoid robotics in one video. ๐Ÿค– In 2015, humanoid robots were still struggling with basic tasks like walking, climbing stairs and recovering from falls during the DARPA Robotics Challenge. Fast-forward to 2026, and humanoids are running, jumping, boxing, playing football, handling industrial tasks and operating in real-world environments. The World Humanoid Robot Games featured 2,056 robots across 51 events, including practical tasks in factories, hotels and homes. The progress is obvious. But the real question is not how impressive they look in a demo. What will humanoid robots be capable of in 2036? ๐Ÿ‘€ ๐ŸŽฅ Media: Defense Advanced Research Projects Agency (DARPA) / Unitree Robotics โš ๏ธ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technologies shown. Credit belongs to the original creators. #HumanoidRobots #Robotics #PhysicalAI #AI #DARPA #RobotEvolution #FutureOfRobotics #EmbodiedAI #Automation #RobotTechnology #CTORoboticsMedia
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11 years of humanoid robotics in one video. ๐Ÿค– In 2015, humanoid robots were still struggling with basic tasks like walking, climbing stairs and recovering from falls during the DARPA Robotics Challenge. Fast-forward to 2026, and humanoids are running, jumping, boxing, playing football, handling industrial tasks and operating in real-world environments. The World Humanoid Robot Games featured 2,056 robots across 51 events, including practical tasks in factories, hotels and homes. The progress is obvious. But the real question is not how impressive they look in a demo. What will humanoid robots be capable of in 2036? ๐Ÿ‘€ ๐ŸŽฅ Media: Defense Advanced Research Projects Agency (DARPA) / Unitree Robotics โš ๏ธ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technologies shown. Credit belongs to the original creators. #HumanoidRobots #Robotics #PhysicalAI #AI #DARPA #RobotEvolution #FutureOfRobotics #EmbodiedAI #Automation #RobotTechnology #CTORoboticsMedia

CTO ROBOTICS Media

324,345 Aufrufe โ€ข vor 11 Tagen

JUST IN: Unitree Robotics just unveiled the GD01, a manned "mecha" robot that transforms between two legs and four legs in real time. This is not a concept. This is a product. Starting price: $574,000. This robot weighs 500kg, is built from high-strength alloy, and has a torso-mounted cockpit. The demo video shows it walking upright, knocking down a brick wall with its hand, then reconfiguring into a four-legged crawl. Unitree calls it the world's first mass-produced transformable mecha. But the real story here is the bigger picture. Chinese companies accounted for nearly 90% of global humanoid robot sales in 2025. Unitree alone shipped 5,500+ humanoid robots last year. In the same period, Tesla, Figure AI and Agility Robotics each shipped around 150. And Unitree is now filing for an IPO on Shanghai's Star Market, targeting 4.2 billion yuan, 85% of which goes straight into R&D. The West is building incredible humanoid robots. China is building them faster, cheaper and at a scale nobody else is close to matching. Read more here: ~~ โ™ป๏ธ Join the weekly robotics newsletter, and never miss any news โ†’
1:06

JUST IN: Unitree Robotics just unveiled the GD01, a manned "mecha" robot that transforms between two legs and four legs in real time. This is not a concept. This is a product. Starting price: $574,000. This robot weighs 500kg, is built from high-strength alloy, and has a torso-mounted cockpit. The demo video shows it walking upright, knocking down a brick wall with its hand, then reconfiguring into a four-legged crawl. Unitree calls it the world's first mass-produced transformable mecha. But the real story here is the bigger picture. Chinese companies accounted for nearly 90% of global humanoid robot sales in 2025. Unitree alone shipped 5,500+ humanoid robots last year. In the same period, Tesla, Figure AI and Agility Robotics each shipped around 150. And Unitree is now filing for an IPO on Shanghai's Star Market, targeting 4.2 billion yuan, 85% of which goes straight into R&D. The West is building incredible humanoid robots. China is building them faster, cheaper and at a scale nobody else is close to matching. Read more here: ~~ โ™ป๏ธ Join the weekly robotics newsletter, and never miss any news โ†’

Lukas Ziegler

11,690 Aufrufe โ€ข vor 4 Monaten

For robots to be useful, they must be able to interact with a wide variety of environments; and yet, scaling interaction data is difficult, expensive, and time consuming. Instead, much research revolves around sim-to-real manipulation โ€” but mostly this has not been mobile manipulation. Recently, though, this has begun to change. Two recent papers from Tairan He and Haoru Xue show us how to unlock the potential of this technique, building policies which, without any real data at all, can move objects around in the world and open doors in the real world with a humanoid robot. Watch Episode #60 of RoboPapers now to learn more, hosted by Chris Paxton and Jiafei Duan. In this episode, we cover two papers:. First is VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation; and second is DoorMan: Opening the Sim-to-Real Door for Humanoid Pixel-to-Action Policy Transfer.
1:13:32

For robots to be useful, they must be able to interact with a wide variety of environments; and yet, scaling interaction data is difficult, expensive, and time consuming. Instead, much research revolves around sim-to-real manipulation โ€” but mostly this has not been mobile manipulation. Recently, though, this has begun to change. Two recent papers from Tairan He and Haoru Xue show us how to unlock the potential of this technique, building policies which, without any real data at all, can move objects around in the world and open doors in the real world with a humanoid robot. Watch Episode #60 of RoboPapers now to learn more, hosted by Chris Paxton and Jiafei Duan. In this episode, we cover two papers:. First is VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation; and second is DoorMan: Opening the Sim-to-Real Door for Humanoid Pixel-to-Action Policy Transfer.

RoboPapers

30,767 Aufrufe โ€ข vor 7 Monaten

Chinese robotics company Astribot released their latest World-Action Model (WAM), Lumo-2. Technical breakdown: - based on a frozen ๐Ÿฅถ Qwen-3.5 4B VLM - trained in 3 progressive stages: 1. Action is aligned with latent world dynamics (an abstract representation of action). Real-world actions are anchored to physical constraints, while the latent space is guided to focus on motion-relevant changes. This bidirectional relationship makes the model physically grounded -> critical for a world model. 2. Action is aligned with vision and language. Reusing the vision backbone and action encoder from the frozen VLM, the authors add a custom vocabulary (for new actions), a semantic module, an action decoder, and an action projector. This aligns the (new) action representations with the (existing) vision-language semantic space. Most importantly: it builds a direct mapping from natural-language instructions to motor execution. 3. End-to-end training on language, video, and robot data. Only the new modules (everything outside the frozen backbone) are trained end-to-end across temporal reasoning, physical understanding, long-horizon, and dexterous manipulation. At the end of the day, Lumo-2 is not the best on benchmarks, but that's not the point. What's genuinely new: - a way to combine latent world modeling and action generation through progressive alignment - a physically-grounded latent dynamics space - it lifts performance on unseen objects using un-annotated human egocentric video + Vision Pro captures, no special transfer algorithm needed Why it matters: - the whole model is thin trainable adapters (semantic module, action decoder/projector) on a frozen 4B backbone (cheap) - that scale is suited for real-time embedded inference (~2.71ร— decode speedup, no accuracy loss) - its real moat is long-horizon execution, where the added temporal memory pays off far more than on any other task As a result, this robot can now make your latte (5x sped up video):
0:39

Chinese robotics company Astribot released their latest World-Action Model (WAM), Lumo-2. Technical breakdown: - based on a frozen ๐Ÿฅถ Qwen-3.5 4B VLM - trained in 3 progressive stages: 1. Action is aligned with latent world dynamics (an abstract representation of action). Real-world actions are anchored to physical constraints, while the latent space is guided to focus on motion-relevant changes. This bidirectional relationship makes the model physically grounded -> critical for a world model. 2. Action is aligned with vision and language. Reusing the vision backbone and action encoder from the frozen VLM, the authors add a custom vocabulary (for new actions), a semantic module, an action decoder, and an action projector. This aligns the (new) action representations with the (existing) vision-language semantic space. Most importantly: it builds a direct mapping from natural-language instructions to motor execution. 3. End-to-end training on language, video, and robot data. Only the new modules (everything outside the frozen backbone) are trained end-to-end across temporal reasoning, physical understanding, long-horizon, and dexterous manipulation. At the end of the day, Lumo-2 is not the best on benchmarks, but that's not the point. What's genuinely new: - a way to combine latent world modeling and action generation through progressive alignment - a physically-grounded latent dynamics space - it lifts performance on unseen objects using un-annotated human egocentric video + Vision Pro captures, no special transfer algorithm needed Why it matters: - the whole model is thin trainable adapters (semantic module, action decoder/projector) on a frozen 4B backbone (cheap) - that scale is suited for real-time embedded inference (~2.71ร— decode speedup, no accuracy loss) - its real moat is long-horizon execution, where the added temporal memory pays off far more than on any other task As a result, this robot can now make your latte (5x sped up video):

Lรฉo

32,331 Aufrufe โ€ข vor 2 Monaten

The Beijing Innovation Center of Humanoid Robotics (X-Humanoid) is building its own "data factory" to tackle the biggest bottleneck in Embodied AI, aiming for a world-first 1-million-hour milestone of high-quality real-world data. ๐Ÿค– This 53,820-square-foot (5,000 square meters) facility is already operating with a fleet of over 120 robots from various makers, including their own Tien Kung series and platforms like Unitree and UBTECH. By replicating 30+ real-life scenariosโ€”from kitchens to industrial linesโ€”the center is capturing the "physical intuition" that digital simulations simply cannot replicate. Their "factory-style" pipeline ensures a 95% data pass rate through a rigorous three-stage inspection process, moving beyond the era of small-scale, "fine-tuned" lab datasets. With over 2 million downloads of their open-source Robomind dataset, they are quickly becoming the backbone for developers looking to bridge the sim-to-real gap.
1:57

The Beijing Innovation Center of Humanoid Robotics (X-Humanoid) is building its own "data factory" to tackle the biggest bottleneck in Embodied AI, aiming for a world-first 1-million-hour milestone of high-quality real-world data. ๐Ÿค– This 53,820-square-foot (5,000 square meters) facility is already operating with a fleet of over 120 robots from various makers, including their own Tien Kung series and platforms like Unitree and UBTECH. By replicating 30+ real-life scenariosโ€”from kitchens to industrial linesโ€”the center is capturing the "physical intuition" that digital simulations simply cannot replicate. Their "factory-style" pipeline ensures a 95% data pass rate through a rigorous three-stage inspection process, moving beyond the era of small-scale, "fine-tuned" lab datasets. With over 2 million downloads of their open-source Robomind dataset, they are quickly becoming the backbone for developers looking to bridge the sim-to-real gap.

RoboHub๐Ÿค–

23,107 Aufrufe โ€ข vor 6 Monaten

Today Reactor is coming out of stealth. Weโ€™ve raised $59M in Seed and Series A funding, led by Lightspeed, with participation from Amplify Partners, wndrco, Sky9 Capital, and FPV Ventures. Reactor is the platform for building in the World Model era: the infrastructure that lets developers build with them at global scale for the first time. Stream from a frontier World Model to your app, in real time, all in under 10 lines of code. World Models represent the next major shift in AI: pixels, audio and actions are generated on the fly, in real-time, in response to user inputs, and to the environment. Every time computing has made a shift from passive to interactive, entire industries appeared that didn't exist before. We're standing in front of such moment again. Over the last 6 months, weโ€™ve assembled an all-star team with alumni from Apple, Meta, Google, Luma AI, Netflix, and Replicate. We're already partnering with some of the biggest names and labs in the world, and hundreds of developers are already building on Reactor. The World Model era starts now.
1:52

Today Reactor is coming out of stealth. Weโ€™ve raised $59M in Seed and Series A funding, led by Lightspeed, with participation from Amplify Partners, wndrco, Sky9 Capital, and FPV Ventures. Reactor is the platform for building in the World Model era: the infrastructure that lets developers build with them at global scale for the first time. Stream from a frontier World Model to your app, in real time, all in under 10 lines of code. World Models represent the next major shift in AI: pixels, audio and actions are generated on the fly, in real-time, in response to user inputs, and to the environment. Every time computing has made a shift from passive to interactive, entire industries appeared that didn't exist before. We're standing in front of such moment again. Over the last 6 months, weโ€™ve assembled an all-star team with alumni from Apple, Meta, Google, Luma AI, Netflix, and Replicate. We're already partnering with some of the biggest names and labs in the world, and hundreds of developers are already building on Reactor. The World Model era starts now.

reactor

12,738,442 Aufrufe โ€ข vor 3 Monaten

Finally. After 18 months of patience, FSD is officially approved and live in the Netherlands. Iโ€™ve been driving with it for 2 days now. And the experience is on another level. It feels like the future unfolding in real time. The precision. The intelligence. The confidence of the system. This is not incremental progress. This is a clear step forward in how mobility works. Huge thanks to Elon Musk and the entire AI team at Tesla. From a professional perspective, this shows what is possible when software, data, and real-world deployment come together at scale. The question is no longer if this will take over. The question is how fast it will expand. This is a turning point. Elon Musk
1:57

Finally. After 18 months of patience, FSD is officially approved and live in the Netherlands. Iโ€™ve been driving with it for 2 days now. And the experience is on another level. It feels like the future unfolding in real time. The precision. The intelligence. The confidence of the system. This is not incremental progress. This is a clear step forward in how mobility works. Huge thanks to Elon Musk and the entire AI team at Tesla. From a professional perspective, this shows what is possible when software, data, and real-world deployment come together at scale. The question is no longer if this will take over. The question is how fast it will expand. This is a turning point. Elon Musk

NL F$D Inside

25,132,468 Aufrufe โ€ข vor 5 Monaten

The first humanoid robot to walk itself off a production line XPENGโ€™s IRON just came off its first mass-production line. And its first stop?-> An XPENG 4S store. it's born to work. Greeting customers. Guiding people around. Moving things. Taking on the repetitive tasks that make up everyday work. IRON is a highly human-like humanoid:full-body flexible skin, lattice bionic muscles, a human-like spine, with natural-language interaction and, apparently, the first humanoid robot proven to be non-human. So,IRON will start withstart with the jobs that are dangerous, repetitive, or simply no one wants to do, then move into more parts of everyday life. But getting a humanoid into the real world requires more than building the robot itself. XPENG had to build its humanoid production line from scratch. Automakers have decades of manufacturing experience to learn from. Humanoid robotics has no comparable playbook. XPENGโ€™s 110,000ใŽก humanoid robot production base in Guangzhou is built to support a target of 1,000 IRON units per month by year-end, with capacity ready to scale as market demand grows. From building the factory from zero to putting the robots to work in 4S stores. Soon, weโ€™ll see the IRON fleet enter the real world.
2:27

The first humanoid robot to walk itself off a production line XPENGโ€™s IRON just came off its first mass-production line. And its first stop?-> An XPENG 4S store. it's born to work. Greeting customers. Guiding people around. Moving things. Taking on the repetitive tasks that make up everyday work. IRON is a highly human-like humanoid:full-body flexible skin, lattice bionic muscles, a human-like spine, with natural-language interaction and, apparently, the first humanoid robot proven to be non-human. So,IRON will start withstart with the jobs that are dangerous, repetitive, or simply no one wants to do, then move into more parts of everyday life. But getting a humanoid into the real world requires more than building the robot itself. XPENG had to build its humanoid production line from scratch. Automakers have decades of manufacturing experience to learn from. Humanoid robotics has no comparable playbook. XPENGโ€™s 110,000ใŽก humanoid robot production base in Guangzhou is built to support a target of 1,000 IRON units per month by year-end, with capacity ready to scale as market demand grows. From building the factory from zero to putting the robots to work in 4S stores. Soon, weโ€™ll see the IRON fleet enter the real world.

CyberRobo

15,075 Aufrufe โ€ข vor 15 Tagen