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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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237,202 Aufrufe • vor 4 Monaten •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

427,796 Aufrufe • vor 4 Monaten

🚨🇺🇸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 Aufrufe • vor 1 Jahr

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

624,876 Aufrufe • vor 7 Monaten

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 Aufrufe • vor 4 Monaten

A robot just worked an 8-hour shift in China. Then it handled an error no human flagged, adapting to a conveyor that shifted under it and correcting the position deviation on its own before carrying on. This is AgiBot's G2 at Longcheer in Nanchang, where the fleet has now run 10 hours straight and sorted more than 3,000 units at a 100% success rate, talking to the factory's own software in real time and flagging defective parts by itself. We built every factory on earth around human limits: the eight-hour shift, the breaks, the way attention slips after hour six. AgiBot is making those limits optional, and the setting is the whole point. This is a live production line shipping real product next to human workers, not a staged demo. Figure ran a similar stream in California last month, so the milestone itself isn't unique. What's different here is that nothing is for the camera. A functioning factory, live, no cuts. I got back from China this month, and the pace of this one ecosystem is the thing the US is underrating most. The Terminator version of this was loud and apocalyptic. The real one just shows up to work, and gets a little better every shift.

A robot just worked an 8-hour shift in China. Then it handled an error no human flagged, adapting to a conveyor that shifted under it and correcting the position deviation on its own before carrying on. This is AgiBot's G2 at Longcheer in Nanchang, where the fleet has now run 10 hours straight and sorted more than 3,000 units at a 100% success rate, talking to the factory's own software in real time and flagging defective parts by itself. We built every factory on earth around human limits: the eight-hour shift, the breaks, the way attention slips after hour six. AgiBot is making those limits optional, and the setting is the whole point. This is a live production line shipping real product next to human workers, not a staged demo. Figure ran a similar stream in California last month, so the milestone itself isn't unique. What's different here is that nothing is for the camera. A functioning factory, live, no cuts. I got back from China this month, and the pace of this one ecosystem is the thing the US is underrating most. The Terminator version of this was loud and apocalyptic. The real one just shows up to work, and gets a little better every shift.

Shruti

11,014 Aufrufe • vor 2 Monaten

The future of sports is evolving in China. A robot just played tennis against a human at the World Humanoid Robot Games in Beijing with zero human control, tracking the ball and returning shots entirely on its own. How long before robots have their own Olympics?

The future of sports is evolving in China. A robot just played tennis against a human at the World Humanoid Robot Games in Beijing with zero human control, tracking the ball and returning shots entirely on its own. How long before robots have their own Olympics?

Coin Bureau

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🚨 A SAN FRANCISCO ENGINEER HIRED A ROBOT TO CLEAN HER HOUSE — AND STARTED AN INTERNET WAR A software engineer in San Francisco hired a robot to clean her home and the comments split in half instantly. One side made fun of the robot for being terrible at the job. The other side attacked her for taking work from a real person and handing it to a machine. Then she clapped back. The robot is not autonomous. A human is on the other end remotely operating it and getting paid. That person just doesn’t have to sit in traffic, park, haul supplies, or walk into a stranger’s house. They clean from home. She said she still uses a regular human cleaner too. This was an experiment. And she doesn’t get why people acted like she deleted an entire job when a person is still doing the work. Would you let a remotely operated robot clean your house… or is this the first step toward replacing every service worker in America?

🚨 A SAN FRANCISCO ENGINEER HIRED A ROBOT TO CLEAN HER HOUSE — AND STARTED AN INTERNET WAR A software engineer in San Francisco hired a robot to clean her home and the comments split in half instantly. One side made fun of the robot for being terrible at the job. The other side attacked her for taking work from a real person and handing it to a machine. Then she clapped back. The robot is not autonomous. A human is on the other end remotely operating it and getting paid. That person just doesn’t have to sit in traffic, park, haul supplies, or walk into a stranger’s house. They clean from home. She said she still uses a regular human cleaner too. This was an experiment. And she doesn’t get why people acted like she deleted an entire job when a person is still doing the work. Would you let a remotely operated robot clean your house… or is this the first step toward replacing every service worker in America?

HustleBitch

12,501 Aufrufe • vor 18 Tagen

🇺🇸 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

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Zentrix⌚️

32,769 Aufrufe • vor 1 Monat

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

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peaq

87,750 Aufrufe • vor 5 Monaten

🇨🇳 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

53,039 Aufrufe • vor 5 Monaten

Usain Bolt’s 9.58s 100m record just got smoked… by a robot. Honor’s humanoid “Lightning” tore down the track in 9.32 seconds, hitting a top speed of 14.5 m/s. Then it full-sent into a safety wall at the end. Just a robot that runs faster than the fastest human who ever lived and still walks it off. The future isn’t coming. It’s already lapping us.

Usain Bolt’s 9.58s 100m record just got smoked… by a robot. Honor’s humanoid “Lightning” tore down the track in 9.32 seconds, hitting a top speed of 14.5 m/s. Then it full-sent into a safety wall at the end. Just a robot that runs faster than the fastest human who ever lived and still walks it off. The future isn’t coming. It’s already lapping us.

Vaibhav Sisinty

69,068 Aufrufe • vor 23 Tagen

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A founder just replaced every employee in his company with AI and posted the whole map. 137 agents, 7 departments, nobody on payroll. Click any job on the map and a card opens with the salary it cancels. A sales rep at $60,000 a year. An agency at $4,000 a month. Sales, marketing, ops, customer, back office, deals, intelligence. All of it. Every card grades itself too: human-led, human-assisted, or fully autonomous. So you know exactly how much you can hand over tonight. None of it is a roadmap. All of it runs today. And it doesn't stop at companies. Point the same setup at money and it works the same way. Save the post below. It's full map, built for running your own AI trading hedge fund with agents.

cvxv666

58,731 Aufrufe • vor 1 Monat

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 Aufrufe • vor 9 Monaten

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

148,310 Aufrufe • vor 1 Monat

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

47,597 Aufrufe • vor 4 Monaten