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🇺🇸 A robot just worked an 8-hour shift. Fully autonomous. Sorted packages at human speed and then diagnosed its own maintenance issues Figure AI's Helix-02 replaced 109,000 lines of code with a neural network trained on human movement. One system. Legs, arms, fingers, eyes. All running together like a... show more

Mario Nawfal

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236,931 views • 2 months ago •via X (Twitter)

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Startup accused of faking an 8-hour autonomous robot shift with a human operator Figure’s Helix-02 ran an 8-hour warehouse shift sorting packages But viewers saw the robot glitch, touch its head like a VR headset was adjusted — then suddenly work again

Startup accused of faking an 8-hour autonomous robot shift with a human operator Figure’s Helix-02 ran an 8-hour warehouse shift sorting packages But viewers saw the robot glitch, touch its head like a VR headset was adjusted — then suddenly work again

RT

427,323 views • 2 months ago

🚨🇺🇸FIGURE ROBOT LEARNS TO WALK IN HOURS Turns out you can teach a robot to walk—if you’ve got a few years to burn in a physics simulator (or a few hours of GPU time). Figure’s team trained a neural network using reinforcement learning to mimic natural human locomotion, and the wild part is it worked on the first try with real hardware. No tuning. No fiddling. Just plug and strut. Thanks to sim-to-real transfer and some sneaky domain randomization, the robot didn’t just wobble out of the lab—it walked like it had somewhere to be. Next up: running. Not terrifying at all. Source: Figure

🚨🇺🇸FIGURE ROBOT LEARNS TO WALK IN HOURS Turns out you can teach a robot to walk—if you’ve got a few years to burn in a physics simulator (or a few hours of GPU time). Figure’s team trained a neural network using reinforcement learning to mimic natural human locomotion, and the wild part is it worked on the first try with real hardware. No tuning. No fiddling. Just plug and strut. Thanks to sim-to-real transfer and some sneaky domain randomization, the robot didn’t just wobble out of the lab—it walked like it had somewhere to be. Next up: running. Not terrifying at all. Source: Figure

Mario Nawfal

117,866 views • 1 year ago

NEWS: Humanoid robotics company Figure has released Helix 02, what they claim in their most capable humanoid model yet. "A single neural system that controls the full body directly from pixels, enabling dexterous, long horizon autonomy across an entire room: • Autonomous, long‑horizon loco-manipulation: Helix 02 unloads and reloads a dishwasher across a full-sized kitchen - a four-minute, end-to-end autonomous task that integrates walking, manipulation, and balance with no resets and no human intervention. We believe this is the longest horizon, most complex task completed autonomously by a humanoid robot to date. • All sensors in. All actuators out: Helix 02 connects every onboard sensor - vision, touch, and proprioception - directly to every actuator through a single unified visuomotor neural network. • Human-like whole body control from human data: All results are enabled by System 0, a learned whole‑body controller trained on over 1,000 hours of human motion data and sim‑to‑real reinforcement learning. System 0 replaces 109,504 lines of hand‑engineered C++ with a single neural prior for stable, natural motion. • New classes of dexterity: With Figure 03’s embedded tactile sensing and palm cameras, Helix 02 performs manipulation that was previously out of reach: extracting individual pills, dispensing precise syringe volumes, and singulating small, irregular objects from clutter despite self‑occlusion. Helix 02 is trained on over 1,000 hours of human motion data and integrates vision, touch, and proprioception."

NEWS: Humanoid robotics company Figure has released Helix 02, what they claim in their most capable humanoid model yet. "A single neural system that controls the full body directly from pixels, enabling dexterous, long horizon autonomy across an entire room: • Autonomous, long‑horizon loco-manipulation: Helix 02 unloads and reloads a dishwasher across a full-sized kitchen - a four-minute, end-to-end autonomous task that integrates walking, manipulation, and balance with no resets and no human intervention. We believe this is the longest horizon, most complex task completed autonomously by a humanoid robot to date. • All sensors in. All actuators out: Helix 02 connects every onboard sensor - vision, touch, and proprioception - directly to every actuator through a single unified visuomotor neural network. • Human-like whole body control from human data: All results are enabled by System 0, a learned whole‑body controller trained on over 1,000 hours of human motion data and sim‑to‑real reinforcement learning. System 0 replaces 109,504 lines of hand‑engineered C++ with a single neural prior for stable, natural motion. • New classes of dexterity: With Figure 03’s embedded tactile sensing and palm cameras, Helix 02 performs manipulation that was previously out of reach: extracting individual pills, dispensing precise syringe volumes, and singulating small, irregular objects from clutter despite self‑occlusion. Helix 02 is trained on over 1,000 hours of human motion data and integrates vision, touch, and proprioception."

Sawyer Merritt

624,689 views • 6 months ago

Figure 03 just finished an 8-hour work livestream, imperfect, but already good enough to replace a lot of repetitive warehouse labor. 🤖 Brett Adcock put a team of F.03 robots on a factory-style package sorting task for a full shift. The job was simple and brutal: detect the barcode, pick the package, flip it label-side down, place it on the conveyor, repeat. Soft poly bags, rigid boxes, moving belts, messy orientations. That is exactly the kind of boring physical work factories pay humans to do all day. Early in the stream, the system handled 230 packages in 10 minutes. That is roughly 2.6 seconds per item — already in human-speed territory for this narrow workflow. The more important part: it was not one robot pretending to work all day. It was a team of Figure 03 robots keeping the line running. When one robot ran low on battery, it left the station and another robot stepped in. That is the real factory signal: not just autonomy, but shift continuity. F.03 is rated for about 5 hours of runtime, so the 8-hour result depends on fleet orchestration, charging, and handoff. That matters more than a single clean demo. The stream was not perfect. There were pauses, hesitations, missed orientations, and small recovery moments. Good. A perfect short clip hides failure. An 8-hour livestream exposes the parts that actually matter: endurance, recovery, throughput, and whether the robot can stay useful after the novelty wears off. Figure says this was fully autonomous on Helix-02, with zero human intervention. For logistics and manufacturing, that is the threshold worth watching. Not “can it do one impressive task?” Can it keep doing the boring task for an entire shift? Figure is not showing a general human replacement yet. But for structured, repetitive factory work, the gap just got much smaller. The timing is also interesting: Figure says BotQ has already delivered 350+ F.03 units and reached a 1 robot/hour production cadence. And F.04 is now in full design lock, with parts starting to ship. The next test is obvious. 8 hours was the proof of endurance. 24/7 is the proof of labor economics.

Figure 03 just finished an 8-hour work livestream, imperfect, but already good enough to replace a lot of repetitive warehouse labor. 🤖 Brett Adcock put a team of F.03 robots on a factory-style package sorting task for a full shift. The job was simple and brutal: detect the barcode, pick the package, flip it label-side down, place it on the conveyor, repeat. Soft poly bags, rigid boxes, moving belts, messy orientations. That is exactly the kind of boring physical work factories pay humans to do all day. Early in the stream, the system handled 230 packages in 10 minutes. That is roughly 2.6 seconds per item — already in human-speed territory for this narrow workflow. The more important part: it was not one robot pretending to work all day. It was a team of Figure 03 robots keeping the line running. When one robot ran low on battery, it left the station and another robot stepped in. That is the real factory signal: not just autonomy, but shift continuity. F.03 is rated for about 5 hours of runtime, so the 8-hour result depends on fleet orchestration, charging, and handoff. That matters more than a single clean demo. The stream was not perfect. There were pauses, hesitations, missed orientations, and small recovery moments. Good. A perfect short clip hides failure. An 8-hour livestream exposes the parts that actually matter: endurance, recovery, throughput, and whether the robot can stay useful after the novelty wears off. Figure says this was fully autonomous on Helix-02, with zero human intervention. For logistics and manufacturing, that is the threshold worth watching. Not “can it do one impressive task?” Can it keep doing the boring task for an entire shift? Figure is not showing a general human replacement yet. But for structured, repetitive factory work, the gap just got much smaller. The timing is also interesting: Figure says BotQ has already delivered 350+ F.03 units and reached a 1 robot/hour production cadence. And F.04 is now in full design lock, with parts starting to ship. The next test is obvious. 8 hours was the proof of endurance. 24/7 is the proof of labor economics.

RoboHub🤖

16,818 views • 2 months ago

NEWS: Humanoid robot startup Figure announced Helix today, their "in-house AI that reasons like a human." "Our robots equipped with Helix can now pick up virtually any household object without any code or prior training. Helix uses a single set of neural network weights to learn all behaviors." "We're introducing Helix, a generalist Vision-Language-Action (VLA) model that unifies perception, language understanding, and learned control to overcome multiple longstanding challenges in robotics."

NEWS: Humanoid robot startup Figure announced Helix today, their "in-house AI that reasons like a human." "Our robots equipped with Helix can now pick up virtually any household object without any code or prior training. Helix uses a single set of neural network weights to learn all behaviors." "We're introducing Helix, a generalist Vision-Language-Action (VLA) model that unifies perception, language understanding, and learned control to overcome multiple longstanding challenges in robotics."

Sawyer Merritt

181,177 views • 1 year ago

A ROBOT GETS A HEART… WAIT, WHAT?! Figure just gave its humanoid F.03 a custom-built battery - a literal robo-heart - crafted fully in-house at their BotQ lab. They didn’t just slap in some off-the-shelf power pack. They built a battery specifically for how a human-shaped robot needs to move, balance, and work all day. It runs longer, recharges faster, weighs less, and keeps the bot’s center of gravity stable - meaning smoother, more lifelike motion. And because they also make their own actuators (robot muscles), Figure controls every major system inside the bot. That level of vertical control is a massive leap - faster development, tighter performance, and fewer limits from outside suppliers. F.03 isn’t just advanced - it’s a fully custom-built machine designed to work like a person. Sci-fi called. It’s jealous. Source: @Figure_rob

A ROBOT GETS A HEART… WAIT, WHAT?! Figure just gave its humanoid F.03 a custom-built battery - a literal robo-heart - crafted fully in-house at their BotQ lab. They didn’t just slap in some off-the-shelf power pack. They built a battery specifically for how a human-shaped robot needs to move, balance, and work all day. It runs longer, recharges faster, weighs less, and keeps the bot’s center of gravity stable - meaning smoother, more lifelike motion. And because they also make their own actuators (robot muscles), Figure controls every major system inside the bot. That level of vertical control is a massive leap - faster development, tighter performance, and fewer limits from outside suppliers. F.03 isn’t just advanced - it’s a fully custom-built machine designed to work like a person. Sci-fi called. It’s jealous. Source: @Figure_rob

Mario Nawfal

83,559 views • 1 year ago

🇺🇸 TESLA’S OPTIMUS ROBOT JUST STOLE THE SHOW IN MIAMI It didn’t give a speech, but it didn’t need to. Just by waving and handing out water, Optimus got the kind of attention you'd expect a real, functioning humanoid robot to get. At Tesla’s “Future of Autonomy” event, Optimus wasn’t just for show. It moved on its own, interacted with people, and looked one step closer to something out of a sci-fi movie. Tesla says Optimus is trained using the same tech behind Autopilot, feeding on millions of real-world videos to learn how to operate in messy human environments. Source: Tesla, Erick Brito

🇺🇸 TESLA’S OPTIMUS ROBOT JUST STOLE THE SHOW IN MIAMI It didn’t give a speech, but it didn’t need to. Just by waving and handing out water, Optimus got the kind of attention you'd expect a real, functioning humanoid robot to get. At Tesla’s “Future of Autonomy” event, Optimus wasn’t just for show. It moved on its own, interacted with people, and looked one step closer to something out of a sci-fi movie. Tesla says Optimus is trained using the same tech behind Autopilot, feeding on millions of real-world videos to learn how to operate in messy human environments. Source: Tesla, Erick Brito

Mario Nawfal

145,215 views • 7 months ago

peaq's first non-human team member just clocked in Meet Woon, a tokenized AI agent on peaq’s payroll — an open experiment designed to explore as an AI agent in the Machine Economy Woon: → creates value through his work, side hustles, and hobbies → invests his earnings in Machine Economy projects And he has dreams of being a real robot one day He’s saving up, and you can help him get there

peaq's first non-human team member just clocked in Meet Woon, a tokenized AI agent on peaq’s payroll — an open experiment designed to explore as an AI agent in the Machine Economy Woon: → creates value through his work, side hustles, and hobbies → invests his earnings in Machine Economy projects And he has dreams of being a real robot one day He’s saving up, and you can help him get there

peaq

83,875 views • 3 months ago

🇨🇳 It has started. A new home service in China pairs human cleaners with autonomous AI robots to tackle household chores. Residents in Shenzhen can now book a service where a human professional and an autonomous robot arrive together to clean their home. Real houses present a chaotic mess of dropped toys and random furniture that confuse traditional machines. X Square Robot and a major service platform named 58[.]com decided to tackle this chaos by launching China's first robot cleaner service in March-26. Customers use an application to hire a cleaning crew that consists of 1 human worker and 1 robot. The human takes care of the tricky chores that require complex judgment. The robot handles the repetitive physical work like picking up trash and wiping down flat surfaces. This machine runs on a system called WALL-A, which acts as a single continuous AI brain rather than a list of pre-written rules. They built this AI foundation model to perceive its surroundings and make its own decisions without human guidance. It processes visual data and plans multi-step actions. And deploying these robots into actual homes now provides the massive amounts of extremely important training data to improve it continuously. Alibaba and ByteDance backed this project. IMO, if the foundational model behind it figures out how to navigate a messy living room without getting stuck, it can learn to operate in almost any other physical environment.

🇨🇳 It has started. A new home service in China pairs human cleaners with autonomous AI robots to tackle household chores. Residents in Shenzhen can now book a service where a human professional and an autonomous robot arrive together to clean their home. Real houses present a chaotic mess of dropped toys and random furniture that confuse traditional machines. X Square Robot and a major service platform named 58[.]com decided to tackle this chaos by launching China's first robot cleaner service in March-26. Customers use an application to hire a cleaning crew that consists of 1 human worker and 1 robot. The human takes care of the tricky chores that require complex judgment. The robot handles the repetitive physical work like picking up trash and wiping down flat surfaces. This machine runs on a system called WALL-A, which acts as a single continuous AI brain rather than a list of pre-written rules. They built this AI foundation model to perceive its surroundings and make its own decisions without human guidance. It processes visual data and plans multi-step actions. And deploying these robots into actual homes now provides the massive amounts of extremely important training data to improve it continuously. Alibaba and ByteDance backed this project. IMO, if the foundational model behind it figures out how to navigate a messy living room without getting stuck, it can learn to operate in almost any other physical environment.

Rohan Paul

52,996 views • 4 months ago

Humanoid robots are being born in China every day. Blue Worm Robotics, a startup from Xi’an, has officially unveiled its first humanoid robot. It moves on omnidirectional wheels, features a lifting torso, and has a look that’s almost like a Transformer. It runs in a hybrid mode of human teleoperation plus AI autonomy, and with its gripper design, it shows strong potential for use in electronics manufacturing and warehouse logistics. It made its debut at this year's World Humanoid Robotics Games in Beijing, winning third place in the warehouse sorting category.

Humanoid robots are being born in China every day. Blue Worm Robotics, a startup from Xi’an, has officially unveiled its first humanoid robot. It moves on omnidirectional wheels, features a lifting torso, and has a look that’s almost like a Transformer. It runs in a hybrid mode of human teleoperation plus AI autonomy, and with its gripper design, it shows strong potential for use in electronics manufacturing and warehouse logistics. It made its debut at this year's World Humanoid Robotics Games in Beijing, winning third place in the warehouse sorting category.

CyberRobo

41,873 views • 8 months ago

THIS HELICOPTER HAS NO PILOT, NO GLASS, AND FLIES ITSELF No cockpit. No controls. No human inside. This isn’t a drone. It’s the world’s first fully autonomous uncrewed helicopter, built in Yeovil by Leonardo. No one’s flying it from a base. No joystick. It makes its own decisions mid-air. 8-hour flights, no rations, no rest. Just nonstop autonomous flight. There’s a giant space in the back for cargo, 5 rotor blades on top, and a tail like a classic chopper. Source: BBC

THIS HELICOPTER HAS NO PILOT, NO GLASS, AND FLIES ITSELF No cockpit. No controls. No human inside. This isn’t a drone. It’s the world’s first fully autonomous uncrewed helicopter, built in Yeovil by Leonardo. No one’s flying it from a base. No joystick. It makes its own decisions mid-air. 8-hour flights, no rations, no rest. Just nonstop autonomous flight. There’s a giant space in the back for cargo, 5 rotor blades on top, and a tail like a classic chopper. Source: BBC

Mario Nawfal

83,853 views • 1 year ago

A Chinese company just dropped a robot dog that switches between wheels and legs on its own. Wheels on flat ground. Legs on stairs, rocks, streams, cliffs. It decides in real time. No human input. 25 kg. Carries 16 kg while walking. Runs at 6 meters per second. 30 km range on one charge. Works in -20°C to 55°C. The demo shows it crossing streams, climbing cliff faces, and running through mud like nothing.

A Chinese company just dropped a robot dog that switches between wheels and legs on its own. Wheels on flat ground. Legs on stairs, rocks, streams, cliffs. It decides in real time. No human input. 25 kg. Carries 16 kg while walking. Runs at 6 meters per second. 30 km range on one charge. Works in -20°C to 55°C. The demo shows it crossing streams, climbing cliff faces, and running through mud like nothing.

Vaibhav Sisinty

131,117 views • 1 day ago

THIS ROBOT WANTS YOU TO THINK HE’S HUMAN Engineers have built a humanoid robot so realistic it blinks, talks, and even frowns like a real person. The skin? Silicone. The soul? Probably just lines of code and a few existential nightmares. They literally squeeze the face on like a latex hoodie, then it comes alive. From creepy blinks to eerily accurate head tilts, it’s built to mimic human behavior down to the awkward silence. Not gonna lie, it's impressive... but also deeply unsettling. How long before one of these asks you for Wi-Fi and a birth certificate? Source: illuminatibot

THIS ROBOT WANTS YOU TO THINK HE’S HUMAN Engineers have built a humanoid robot so realistic it blinks, talks, and even frowns like a real person. The skin? Silicone. The soul? Probably just lines of code and a few existential nightmares. They literally squeeze the face on like a latex hoodie, then it comes alive. From creepy blinks to eerily accurate head tilts, it’s built to mimic human behavior down to the awkward silence. Not gonna lie, it's impressive... but also deeply unsettling. How long before one of these asks you for Wi-Fi and a birth certificate? Source: illuminatibot

Mario Nawfal

86,831 views • 1 year ago

A humanoid robot just unloaded a dishwasher for 67 hours straight. By end of 2026, the same robot will perform surgery. That's not a prediction from a sci-fi writer. That's Brett Adcock. CEO of Figure AI. Said it on camera this month. Here's what makes this insane. Two years ago Figure's robot put a Keurig cup in a coffee maker. That was the breakthrough moment. The whole team celebrated. A coffee cup. Today that same robot runs 67 consecutive hours in a BMW factory. Grabbing packages. Finding barcodes. Placing them. One operation every second. Just a neural network that learned by watching. And Brett just said the hands that do that the same fingers, the same sensors, the same neural net are already capable of surgical precision from a hardware standpoint. "From a hardware perspective in 2026 we'll be able to do what surgeons can do." The AI just has to catch up to the hands. Two years ago: a coffee cup. This year: a factory. Next: the operating table. The robot didn't change, the learning did and it's not stopping.

A humanoid robot just unloaded a dishwasher for 67 hours straight. By end of 2026, the same robot will perform surgery. That's not a prediction from a sci-fi writer. That's Brett Adcock. CEO of Figure AI. Said it on camera this month. Here's what makes this insane. Two years ago Figure's robot put a Keurig cup in a coffee maker. That was the breakthrough moment. The whole team celebrated. A coffee cup. Today that same robot runs 67 consecutive hours in a BMW factory. Grabbing packages. Finding barcodes. Placing them. One operation every second. Just a neural network that learned by watching. And Brett just said the hands that do that the same fingers, the same sensors, the same neural net are already capable of surgical precision from a hardware standpoint. "From a hardware perspective in 2026 we'll be able to do what surgeons can do." The AI just has to catch up to the hands. Two years ago: a coffee cup. This year: a factory. Next: the operating table. The robot didn't change, the learning did and it's not stopping.

Shruti

46,761 views • 2 months ago

More and more humanoid robot kiosks are appearing in China. Yesterday, I passed by a subway entrance in Guangzhou and experienced a retail kiosk operated by a humanoid robot again, buying a bottle of water. The process was the same: select items on a screen, scan a QR code for mobile payment, and the humanoid robot retrieves the product. (However, it didn't interact with me at all.) I looked it up, and the wheeled humanoid robot is named S1, from AutoLife Robotics in Shenzhen. It uses omnidirectional wheels for movement and a lifting body. It's 1-1.6m tall, weighs 72kg, and has a 10-hour battery life. A single arm can carry 3-5kg. Furthermore, this humanoid robot is suitable for lightweight tasks in retail, convenience stores, supermarkets, and warehouse sorting.

More and more humanoid robot kiosks are appearing in China. Yesterday, I passed by a subway entrance in Guangzhou and experienced a retail kiosk operated by a humanoid robot again, buying a bottle of water. The process was the same: select items on a screen, scan a QR code for mobile payment, and the humanoid robot retrieves the product. (However, it didn't interact with me at all.) I looked it up, and the wheeled humanoid robot is named S1, from AutoLife Robotics in Shenzhen. It uses omnidirectional wheels for movement and a lifting body. It's 1-1.6m tall, weighs 72kg, and has a 10-hour battery life. A single arm can carry 3-5kg. Furthermore, this humanoid robot is suitable for lightweight tasks in retail, convenience stores, supermarkets, and warehouse sorting.

CyberRobo

52,565 views • 4 months ago

German humanoid robot set to transform factory work. Agile ONE is an onboard AI-driven industrial humanoid robot designed for real factory environments. With sensor-rich, human-like hands, it can handle tools and parts with high precision, supporting both delicate assembly and force intensive tasks. KEY CAPABILITIES: 20 kg payload, 174 cm height, 69 kg weight, 8 hour battery life, 2.0 m/s walking speed, 71° of freedom. Agile ONE represents a shift toward autonomous, flexible humanoids working alongside humans on the factory floor.

German humanoid robot set to transform factory work. Agile ONE is an onboard AI-driven industrial humanoid robot designed for real factory environments. With sensor-rich, human-like hands, it can handle tools and parts with high precision, supporting both delicate assembly and force intensive tasks. KEY CAPABILITIES: 20 kg payload, 174 cm height, 69 kg weight, 8 hour battery life, 2.0 m/s walking speed, 71° of freedom. Agile ONE represents a shift toward autonomous, flexible humanoids working alongside humans on the factory floor.

SciTech Era

10,874 views • 6 months ago

🇺🇸 AMAZON HITS 1 MILLION ROBOTS AND THEY’RE MOVING FAST Amazon just rolled out its millionth warehouse robot and a new AI called DeepFleet to control them all. It makes deliveries faster by cutting robot travel time by 10 percent. These bots can now lift over 1,200 pounds like it's nothing. AI jobs are growing, but even Amazon admits some human jobs will get replaced. Source: Rowan Cheung

🇺🇸 AMAZON HITS 1 MILLION ROBOTS AND THEY’RE MOVING FAST Amazon just rolled out its millionth warehouse robot and a new AI called DeepFleet to control them all. It makes deliveries faster by cutting robot travel time by 10 percent. These bots can now lift over 1,200 pounds like it's nothing. AI jobs are growing, but even Amazon admits some human jobs will get replaced. Source: Rowan Cheung

Mario Nawfal

141,944 views • 1 year ago

Tired of teleoperation? One human video → 1,000s of robot demos. (📍GitHub ) Scaling Robot Data Without Dynamics Simulation or Robot Hardware Real2Render2Real (R2R2R) is a new way to scale robot data without physics simulation or hardware. You take a phone scan + a single monocular human demo. It tracks the motion, renders photorealistic scenes, and generates diverse, robot-agnostic trajectories ready for training. > No teleop, no sim, no robot, just a phone and a video > Train VLA models and diffusion policies directly on the output > Supports multiple robot embodiments with kinematic consistency > 1000s of demos in 1/27 the time of real-world collection Thank you, Max Fu, for sharing!! Project: Paper: Code coming soon: It shows that with the right pipeline, you can scale robot learning data without touching a robot. One of the most interesting directions in scalable robotics today. —— Weekly robotics and AI insights. Subscribe free:

Tired of teleoperation? One human video → 1,000s of robot demos. (📍GitHub ) Scaling Robot Data Without Dynamics Simulation or Robot Hardware Real2Render2Real (R2R2R) is a new way to scale robot data without physics simulation or hardware. You take a phone scan + a single monocular human demo. It tracks the motion, renders photorealistic scenes, and generates diverse, robot-agnostic trajectories ready for training. > No teleop, no sim, no robot, just a phone and a video > Train VLA models and diffusion policies directly on the output > Supports multiple robot embodiments with kinematic consistency > 1000s of demos in 1/27 the time of real-world collection Thank you, Max Fu, for sharing!! Project: Paper: Code coming soon: It shows that with the right pipeline, you can scale robot learning data without touching a robot. One of the most interesting directions in scalable robotics today. —— Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

42,804 views • 5 months ago

The first-ever demo of paying a humanoid robot with $XRT. On January 8, anyone strolling down the main street of Las Vegas had the chance to meet the humanoid robot R.Turbo, shake its hand, and experience something we all dream of seeing in our cities: paying for a service, not to a person, but to a robot that looks remarkably human. Day two of #CES2025 has come to a close, and our humanoid is now recharging and undergoing maintenance ahead of tomorrow's stage performance. Stay tuned for updates! And for those in Las Vegas, join us at the evening event featuring Robonomics:

The first-ever demo of paying a humanoid robot with $XRT. On January 8, anyone strolling down the main street of Las Vegas had the chance to meet the humanoid robot R.Turbo, shake its hand, and experience something we all dream of seeing in our cities: paying for a service, not to a person, but to a robot that looks remarkably human. Day two of #CES2025 has come to a close, and our humanoid is now recharging and undergoing maintenance ahead of tomorrow's stage performance. Stay tuned for updates! And for those in Las Vegas, join us at the evening event featuring Robonomics:

Airalab 🛠 Robonomics

31,817 views • 1 year ago

A humanoid robot capable of crushing skulls? Figure AI sued by former executive. Robert Gruendel, former chief product safety engineer at Figure AI, has filed a lawsuit in the U.S. District Court for the Northern District of California, alleging that he was retaliatoryly fired after reporting robot safety risks to Figure AI executives. The lawsuit claims that the engineer warned the company that its humanoid robots possessed a dangerous capability "capable of crushing a human skull." The report cites a specific incident where a robot malfunctioned and scratched a steel refrigerator door with a mark approximately ¼ inch long. The lawsuit also alleges that the company used its safety roadmap as a factor in attracting investment during fundraising and valuation, but subsequently "weakened" its implementation. Figure AI's valuation surged by approximately $39 billion between 2024 and 2025, and this lawsuit comes at a time of rapid expansion and high public attention.

A humanoid robot capable of crushing skulls? Figure AI sued by former executive. Robert Gruendel, former chief product safety engineer at Figure AI, has filed a lawsuit in the U.S. District Court for the Northern District of California, alleging that he was retaliatoryly fired after reporting robot safety risks to Figure AI executives. The lawsuit claims that the engineer warned the company that its humanoid robots possessed a dangerous capability "capable of crushing a human skull." The report cites a specific incident where a robot malfunctioned and scratched a steel refrigerator door with a mark approximately ¼ inch long. The lawsuit also alleges that the company used its safety roadmap as a factor in attracting investment during fundraising and valuation, but subsequently "weakened" its implementation. Figure AI's valuation surged by approximately $39 billion between 2024 and 2025, and this lawsuit comes at a time of rapid expansion and high public attention.

CyberRobo

39,981 views • 8 months ago