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Sub-1 hour? Chasing the human half-marathon record? That’s suddenly the conversation around Beijing’s humanoid robot race this Sunday. 🏃‍♂️🤖 A year ago, this event was mostly about finishing. Now the bar is speed, stability, and full-course autonomy. More than 100 teams and 300+ humanoid robots are expected on the...

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Beijing E-Town Humanoid Robot Half-Marathon is tomorrow, April 19, 2026. - Bipedal only - “We are not a car!” - Over 300 humanoid robots from 76+ teams (nearly 5× last year) - ~40% will run fully autonomous - Height limit: 2 ft 6 in – 5 ft 11 in Key Rules - 20% penalty added to finish time (×1.2), if not autonomous - Time penalties for battery swaps or full robot replacements The event runs on the same 21.1 km (13.1 miles) course as the human half-marathon, with humans and robots separated by barriers. Gimpse of practice runs:
0:40

Beijing E-Town Humanoid Robot Half-Marathon is tomorrow, April 19, 2026. - Bipedal only - “We are not a car!” - Over 300 humanoid robots from 76+ teams (nearly 5× last year) - ~40% will run fully autonomous - Height limit: 2 ft 6 in – 5 ft 11 in Key Rules - 20% penalty added to finish time (×1.2), if not autonomous - Time penalties for battery swaps or full robot replacements The event runs on the same 21.1 km (13.1 miles) course as the human half-marathon, with humans and robots separated by barriers. Gimpse of practice runs:

The Humanoid Hub

67,952 Aufrufe • vor 4 Monaten

Ran 21 km (13.1 miles) — and the motor was still cold. That’s the detail that matters. 🤖 Honor was the clear dark horse in this year’s robot half marathon. They swept 1st, 2nd, and 3rd, and also posted a strong top-6 finish overall. What stands out to me is that this was not just about bigger motors, or a gait tuned for long-distance running. They seem to have solved something more important — cooling. In a post-race interview, Honor engineers said the robot used liquid-cooling tech adapted from Honor smartphones, with cooling lines running deep into the motor system to carry heat away. Some reports added more detail: the setup used two high-speed micro pumps, with flow rates reaching up to 6 liters per minute, giving the system enough cooling capacity to handle sustained lower-joint motor load. That matters because once a robot starts overheating, output drops, stability goes with it, and the whole run can fall apart fast. And that’s exactly why this detail is interesting. Of course, that does not mean Honor has already surpassed teams like TienKung or Unitree across humanoid robotics as a whole. What it does suggest is that for the marathon task, they built a very strong system solution. And honestly, that alone is already a useful case for the industry. The bigger trend is moving fast. Last year, TienKung won in around 2 hours 40 minutes. This year, the winning time dropped to 50 minutes 26 seconds. Last year, most robots were still fully remote-controlled or only semi-autonomous. This year, around 40% were running with a much higher level of autonomy. So to me, the real signal is not just that robots got faster. It’s that the field is now moving past raw speed, and into the harder problems: autonomy, stability, and system reliability under load. If the pace of progress stays anywhere close to this, then next year’s race should be even more worth watching.
0:31

Ran 21 km (13.1 miles) — and the motor was still cold. That’s the detail that matters. 🤖 Honor was the clear dark horse in this year’s robot half marathon. They swept 1st, 2nd, and 3rd, and also posted a strong top-6 finish overall. What stands out to me is that this was not just about bigger motors, or a gait tuned for long-distance running. They seem to have solved something more important — cooling. In a post-race interview, Honor engineers said the robot used liquid-cooling tech adapted from Honor smartphones, with cooling lines running deep into the motor system to carry heat away. Some reports added more detail: the setup used two high-speed micro pumps, with flow rates reaching up to 6 liters per minute, giving the system enough cooling capacity to handle sustained lower-joint motor load. That matters because once a robot starts overheating, output drops, stability goes with it, and the whole run can fall apart fast. And that’s exactly why this detail is interesting. Of course, that does not mean Honor has already surpassed teams like TienKung or Unitree across humanoid robotics as a whole. What it does suggest is that for the marathon task, they built a very strong system solution. And honestly, that alone is already a useful case for the industry. The bigger trend is moving fast. Last year, TienKung won in around 2 hours 40 minutes. This year, the winning time dropped to 50 minutes 26 seconds. Last year, most robots were still fully remote-controlled or only semi-autonomous. This year, around 40% were running with a much higher level of autonomy. So to me, the real signal is not just that robots got faster. It’s that the field is now moving past raw speed, and into the harder problems: autonomy, stability, and system reliability under load. If the pace of progress stays anywhere close to this, then next year’s race should be even more worth watching.

RoboHub🤖

60,151 Aufrufe • vor 4 Monaten

Before the half marathon even starts, these robots already went through a full obstacle test in Beijing today. 🤖 The April 18 Warrior Challenge wasn’t about speed. It was a structured test of real-world capability under defined rules. The event was split into four categories: general obstacles, humanoid-only events, quadruped-only events, and a final challenge. In total, there were 17 tasks — including narrow bridges, flood-control building, climbing, and balance tests. All designed to evaluate terrain adaptation, manipulation, and task execution. Teams were also divided into remote-control and fully autonomous groups. That distinction matters — finishing a task is one thing, doing it without human input is another. The half marathon tomorrow will test endurance and pace over 21.0975 km. Today was about whether these systems can handle structured, real-world scenarios first.
2:00

Before the half marathon even starts, these robots already went through a full obstacle test in Beijing today. 🤖 The April 18 Warrior Challenge wasn’t about speed. It was a structured test of real-world capability under defined rules. The event was split into four categories: general obstacles, humanoid-only events, quadruped-only events, and a final challenge. In total, there were 17 tasks — including narrow bridges, flood-control building, climbing, and balance tests. All designed to evaluate terrain adaptation, manipulation, and task execution. Teams were also divided into remote-control and fully autonomous groups. That distinction matters — finishing a task is one thing, doing it without human input is another. The half marathon tomorrow will test endurance and pace over 21.0975 km. Today was about whether these systems can handle structured, real-world scenarios first.

RoboHub🤖

21,311 Aufrufe • vor 4 Monaten

TienKung Ultra finished the full 21.0975 km in 1:15:00 — fully autonomous, zero human intervention. 🤖 No repeat win this time. But it was easily one of the most striking robots on the course — clean gait, stable motion, and the most human-like running form out there. It took home the “Best Design” award, and that actually says more than the podium this time. Because this isn’t a marathon-only build. TienKung Ultra is a general-purpose humanoid, already moving toward real-world deployment. And it didn’t show up alone. Teams from Peking University, Fudan, HUST, BIT, Beihang, HKUST(GZ), TUM and more were all building on the same TienKung platform. That’s what an open ecosystem looks like — shared hardware, shared stack, different solutions on top. And just a day before, it took the Robot Warrior Challenge — fully autonomous through obstacle tasks modeled on real-world rescue and hazardous operations. That’s the part that matters. This is no longer just about speed. It’s about autonomy — and whether these systems can actually handle real environments. That’s what future winners are going to look like.
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TienKung Ultra finished the full 21.0975 km in 1:15:00 — fully autonomous, zero human intervention. 🤖 No repeat win this time. But it was easily one of the most striking robots on the course — clean gait, stable motion, and the most human-like running form out there. It took home the “Best Design” award, and that actually says more than the podium this time. Because this isn’t a marathon-only build. TienKung Ultra is a general-purpose humanoid, already moving toward real-world deployment. And it didn’t show up alone. Teams from Peking University, Fudan, HUST, BIT, Beihang, HKUST(GZ), TUM and more were all building on the same TienKung platform. That’s what an open ecosystem looks like — shared hardware, shared stack, different solutions on top. And just a day before, it took the Robot Warrior Challenge — fully autonomous through obstacle tasks modeled on real-world rescue and hazardous operations. That’s the part that matters. This is no longer just about speed. It’s about autonomy — and whether these systems can actually handle real environments. That’s what future winners are going to look like.

RoboHub🤖

224,991 Aufrufe • vor 4 Monaten

ELON: AGI IS LIKELY TO EMERGE FROM OUR AUTONOMOUS CARS AND HUMANOIDS “We're not actually specifically focused on AGI. I'm simply saying that AGI seems likely to be an emergent property of what we're doing, because we're creating all these autonomous cars and autonomous humanoids that are actually a truly gigantic data stream that's coming in and being processed. It's by far the most amount of real-world data, and data you can't get by just searching the Internet, because you have to be out there in the world and interacting with people and interacting with the roads. Earth is a big place, and reality is messy and complicated. If you've got tens or hundreds of millions of autonomous vehicles and maybe even a comparable number of humanoids, maybe more than that, on the humanoid front, well, that's just the most amount of data. And if that video is being processed, it just seems likely that the cars will definitely get way better than human drivers, and the humanoid robots will become increasingly indistinguishable from humans, perhaps. And so then, like you said, you have this emergent property of AGI.” Source: Tesla AI Day, September 2022
1:16

ELON: AGI IS LIKELY TO EMERGE FROM OUR AUTONOMOUS CARS AND HUMANOIDS “We're not actually specifically focused on AGI. I'm simply saying that AGI seems likely to be an emergent property of what we're doing, because we're creating all these autonomous cars and autonomous humanoids that are actually a truly gigantic data stream that's coming in and being processed. It's by far the most amount of real-world data, and data you can't get by just searching the Internet, because you have to be out there in the world and interacting with people and interacting with the roads. Earth is a big place, and reality is messy and complicated. If you've got tens or hundreds of millions of autonomous vehicles and maybe even a comparable number of humanoids, maybe more than that, on the humanoid front, well, that's just the most amount of data. And if that video is being processed, it just seems likely that the cars will definitely get way better than human drivers, and the humanoid robots will become increasingly indistinguishable from humans, perhaps. And so then, like you said, you have this emergent property of AGI.” Source: Tesla AI Day, September 2022

Mario Nawfal

2,628,293 Aufrufe • vor 1 Jahr

Elon Musk on how AGI might actually emerge: “We’re not actually specifically focused on AGI. I’m simply saying that AGI seems likely to be an emergent property of what we’re doing” The reason is the massive real-world data Tesla is generating from autonomous cars and humanoid robots This is not internet data. This is real-world interaction driving on messy roads, navigating unpredictable environments, and interacting with people With tens or hundreds of millions of autonomous vehicles and potentially even more humanoids, the amount of real-world video and data being processed will be enormous From this, cars will become far better than human drivers, and humanoid robots will become increasingly indistinguishable from humans AGI might not come from a lab trying to build it directly. It may simply emerge from building useful robots at massive scale
1:11

Elon Musk on how AGI might actually emerge: “We’re not actually specifically focused on AGI. I’m simply saying that AGI seems likely to be an emergent property of what we’re doing” The reason is the massive real-world data Tesla is generating from autonomous cars and humanoid robots This is not internet data. This is real-world interaction driving on messy roads, navigating unpredictable environments, and interacting with people With tens or hundreds of millions of autonomous vehicles and potentially even more humanoids, the amount of real-world video and data being processed will be enormous From this, cars will become far better than human drivers, and humanoid robots will become increasingly indistinguishable from humans AGI might not come from a lab trying to build it directly. It may simply emerge from building useful robots at massive scale

X Freeze

21,256 Aufrufe • vor 2 Monaten

Elon Musk: There are all kinds of NGOs trying to eliminate poverty. But AI and robotics will actually succeed. “People often talk about sort of eliminating poverty and that kind of thing. How long have they been talking about that? There's lots of talk; there are lots of NGOs sort of trying to do these things but really not succeeding. And the evidence speaks for itself. But AI and humanoid robots will actually eliminate poverty. And Tesla won't be the only one that makes them. I think Tesla will pioneer this, but there will be many other companies that make humanoid robots. But there is only basically one way to make everyone wealthy, and that is AI and robotics.” U.S.-Saudi Investment Forum, November 19, 2025
0:30

Elon Musk: There are all kinds of NGOs trying to eliminate poverty. But AI and robotics will actually succeed. “People often talk about sort of eliminating poverty and that kind of thing. How long have they been talking about that? There's lots of talk; there are lots of NGOs sort of trying to do these things but really not succeeding. And the evidence speaks for itself. But AI and humanoid robots will actually eliminate poverty. And Tesla won't be the only one that makes them. I think Tesla will pioneer this, but there will be many other companies that make humanoid robots. But there is only basically one way to make everyone wealthy, and that is AI and robotics.” U.S.-Saudi Investment Forum, November 19, 2025

ELON CLIPS

13,858 Aufrufe • vor 7 Monaten

Beijing’s humanoid robot half-marathon is coming, and the internet is already obsessed with the tiniest competitor: Xiao Pai — the cutest little robot who’s gone viral before he’s even run a single kilometer🤣 Humans and robots will tackle the same 21km course together. Most competitors are from Chinese teams, and this year’s big upgrade? Nearly 40% of the robots will run the full distance completely on their own—no remote control. Just onboard vision, smarts, and algorithms to handle the path, dodge obstacles, and nail those sharp turns. The route isn’t exactly beginner-friendly either: think tight bends, downhill sections, and wetland parks that could trip up even the best of us. Some aren’t even racing — they’re just there as cheer squad, pacers, or finish-line sweepers. Future city life preview: unlocked. Who’s betting on the adorable one?
0:45

Beijing’s humanoid robot half-marathon is coming, and the internet is already obsessed with the tiniest competitor: Xiao Pai — the cutest little robot who’s gone viral before he’s even run a single kilometer🤣 Humans and robots will tackle the same 21km course together. Most competitors are from Chinese teams, and this year’s big upgrade? Nearly 40% of the robots will run the full distance completely on their own—no remote control. Just onboard vision, smarts, and algorithms to handle the path, dodge obstacles, and nail those sharp turns. The route isn’t exactly beginner-friendly either: think tight bends, downhill sections, and wetland parks that could trip up even the best of us. Some aren’t even racing — they’re just there as cheer squad, pacers, or finish-line sweepers. Future city life preview: unlocked. Who’s betting on the adorable one?

Eivor

19,847 Aufrufe • vor 4 Monaten

ELON: AI AND ROBOTS WILL CREATE AN AGE OF ABUNDANCE "I think that there's no actual limit to the size of the economy once you have general purpose humanoid robots and autonomous vehicles. You can build anything. The economy is really just the average productivity per person times number of people. That's the economy, and if you've got humanoid robots where there's no real limit on the number of humanoid robots and they can operate very intelligently, then there's no meaningful limit to the economy. The good future of AI is one of immense prosperity, where there is an age of abundance, no shortage of goods and services. Everyone can have whatever they want, anything that is a manufactured good or provided service. With the advent of AI plus robotics, the cost of goods and services will trend to zero." Source: The All-In Podcast
0:47

ELON: AI AND ROBOTS WILL CREATE AN AGE OF ABUNDANCE "I think that there's no actual limit to the size of the economy once you have general purpose humanoid robots and autonomous vehicles. You can build anything. The economy is really just the average productivity per person times number of people. That's the economy, and if you've got humanoid robots where there's no real limit on the number of humanoid robots and they can operate very intelligently, then there's no meaningful limit to the economy. The good future of AI is one of immense prosperity, where there is an age of abundance, no shortage of goods and services. Everyone can have whatever they want, anything that is a manufactured good or provided service. With the advent of AI plus robotics, the cost of goods and services will trend to zero." Source: The All-In Podcast

Mario Nawfal

341,719 Aufrufe • vor 9 Monaten

Japan Just Built a HouseBot You Control Without Speaking and It Changes Everything! Donut Robotics has officially unveiled its first bipedal humanoid, Cinnamon 1, and instead of focusing on louder voices or bigger motors, the company went in the opposite direction. Silence. Cinnamon 1 introduces what Donut Robotics calls Silent Gesture Control, a system that allows the humanoid to be guided using simple hand and finger movements rather than spoken commands. This approach feels especially well suited for real world environments where traditional voice control falls apart. Busy factory floors. Construction sites filled with constant noise. Even quiet indoor settings where voice commands feel awkward or intrusive. It also opens the door for far more accessible human robot interaction, particularly for users with impairments. While the current Cinnamon 1 hardware is built on an OEM platform, the intelligence driving it is where Donut Robotics is placing its long term bet. The team is actively developing custom Vision Language Action AI that allows the robot to interpret what it sees, understand intent, and respond with physical action. The goal is not just smarter robots, but robots that feel more natural. Even more ambitious is the company’s plan for full domestic production. Donut Robotics has stated its intention to localize both manufacturing and AI development in Japan, reinforcing the country’s reputation for precision engineering and thoughtful robotics design. If timelines hold, Cinnamon 1 units are expected to begin deployment in factories and construction environments by the end of 2026. That puts this humanoid squarely in the category of near term reality rather than distant concept. The takeaway is simple but important. As humanoid robots move out of labs and into daily work environments, the winners may not be the loudest or flashiest machines. They may be the ones that understand us without a word being spoken.
0:31

Japan Just Built a HouseBot You Control Without Speaking and It Changes Everything! Donut Robotics has officially unveiled its first bipedal humanoid, Cinnamon 1, and instead of focusing on louder voices or bigger motors, the company went in the opposite direction. Silence. Cinnamon 1 introduces what Donut Robotics calls Silent Gesture Control, a system that allows the humanoid to be guided using simple hand and finger movements rather than spoken commands. This approach feels especially well suited for real world environments where traditional voice control falls apart. Busy factory floors. Construction sites filled with constant noise. Even quiet indoor settings where voice commands feel awkward or intrusive. It also opens the door for far more accessible human robot interaction, particularly for users with impairments. While the current Cinnamon 1 hardware is built on an OEM platform, the intelligence driving it is where Donut Robotics is placing its long term bet. The team is actively developing custom Vision Language Action AI that allows the robot to interpret what it sees, understand intent, and respond with physical action. The goal is not just smarter robots, but robots that feel more natural. Even more ambitious is the company’s plan for full domestic production. Donut Robotics has stated its intention to localize both manufacturing and AI development in Japan, reinforcing the country’s reputation for precision engineering and thoughtful robotics design. If timelines hold, Cinnamon 1 units are expected to begin deployment in factories and construction environments by the end of 2026. That puts this humanoid squarely in the category of near term reality rather than distant concept. The takeaway is simple but important. As humanoid robots move out of labs and into daily work environments, the winners may not be the loudest or flashiest machines. They may be the ones that understand us without a word being spoken.

The AI Robot Guy on X

257,928 Aufrufe • vor 7 Monaten

QACE Dynamics | Autonomous Navigation Preview Today we are showing autonomous navigation running live inside QACE, the robot plans its route on the map, then adjusts in real time as lidar and vision pick up new obstacles. All of this runs through a single navigation block inside QACE, ready to plug into different robots without touching low-level control. This navigation block is one of the core building pieces of QACE autonomy, and it’s just the first of many we will be rolling out.
0:58

QACE Dynamics | Autonomous Navigation Preview Today we are showing autonomous navigation running live inside QACE, the robot plans its route on the map, then adjusts in real time as lidar and vision pick up new obstacles. All of this runs through a single navigation block inside QACE, ready to plug into different robots without touching low-level control. This navigation block is one of the core building pieces of QACE autonomy, and it’s just the first of many we will be rolling out.

Qace Dynamics

12,654 Aufrufe • vor 9 Monaten

Brain-controlled exoskeletons to train humanoid robots! 🧠 Fourier just presented human tele-operators using brain control interfaces and exoskeletal arms to train humanoid robots on home tasks. The brain control interface is the interesting part. Instead of using a controller or joystick to teleoperate, the operator's movements and intentions are captured more naturally through the exoskeleton and BCI. This means the demonstrations are more fluid, more human-like, and better suited for training robots to perform delicate home tasks. Multiple tele-operators are simultaneously generating training data across multiple robots. This is how you build the dataset needed for eventual full autonomy, without waiting years for it to arrive. This might be the bridge between "robots that work in controlled environments" and "robots that work in homes." Not full autonomy right away, but trusted human intelligence operating through a robot body, getting better with every task completed. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:56

Brain-controlled exoskeletons to train humanoid robots! 🧠 Fourier just presented human tele-operators using brain control interfaces and exoskeletal arms to train humanoid robots on home tasks. The brain control interface is the interesting part. Instead of using a controller or joystick to teleoperate, the operator's movements and intentions are captured more naturally through the exoskeleton and BCI. This means the demonstrations are more fluid, more human-like, and better suited for training robots to perform delicate home tasks. Multiple tele-operators are simultaneously generating training data across multiple robots. This is how you build the dataset needed for eventual full autonomy, without waiting years for it to arrive. This might be the bridge between "robots that work in controlled environments" and "robots that work in homes." Not full autonomy right away, but trusted human intelligence operating through a robot body, getting better with every task completed. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

20,898 Aufrufe • vor 6 Monaten

BREAKING: Elon Musk says the Market for Humanoid robots like the Tesla Optimus Robot will be 1 Billion units per year, and Tesla can make $1 Trillion a year selling them. He predicts that they will ultimately sell for around $20,000 at a cost of $10,000, and Tesla will take at least a 10% market share of the humanoid robot market. Pretty impressive and the world is about to change. Musk believes that there will be at least 1 robot per human and perhaps much more than that.
1:43

BREAKING: Elon Musk says the Market for Humanoid robots like the Tesla Optimus Robot will be 1 Billion units per year, and Tesla can make $1 Trillion a year selling them. He predicts that they will ultimately sell for around $20,000 at a cost of $10,000, and Tesla will take at least a 10% market share of the humanoid robot market. Pretty impressive and the world is about to change. Musk believes that there will be at least 1 robot per human and perhaps much more than that.

Brian Krassenstein

2,692,879 Aufrufe • vor 2 Jahren

Elon Musk: Autonomy and Optimus will actually happen. “At a very high level, I'd say that autonomy is an insanely fundamental breakthrough. And no one is even close to Tesla for solving generalized autonomy or generalized self-driving vehicles. No one's even close. With self-driving, the car becomes roughly five times more useful, but it costs the same to build. Can you imagine what would happen if a company were doing a 25% to 30% percent gross margins, but suddenly that same thing was five times more valuable. What would that do to the value of Tesla ? And the value of that car? It boggles the mind, actually. If you actually do the math on that, it's insane. There's also the Optimus program, which is our humanoid robot, where we will leverage our manufacturing expertise and the intelligence we've developed for self-driving to have a useful humanoid robot. The economy is fundamentally GDP per capita times capita. If you no longer have a constraint on capita because of a useful humanoid robot, it's not clear that there's any limit to the size of the economy. And these things will actually happen.” Baron Investment Conference, 2022
1:16

Elon Musk: Autonomy and Optimus will actually happen. “At a very high level, I'd say that autonomy is an insanely fundamental breakthrough. And no one is even close to Tesla for solving generalized autonomy or generalized self-driving vehicles. No one's even close. With self-driving, the car becomes roughly five times more useful, but it costs the same to build. Can you imagine what would happen if a company were doing a 25% to 30% percent gross margins, but suddenly that same thing was five times more valuable. What would that do to the value of Tesla ? And the value of that car? It boggles the mind, actually. If you actually do the math on that, it's insane. There's also the Optimus program, which is our humanoid robot, where we will leverage our manufacturing expertise and the intelligence we've developed for self-driving to have a useful humanoid robot. The economy is fundamentally GDP per capita times capita. If you no longer have a constraint on capita because of a useful humanoid robot, it's not clear that there's any limit to the size of the economy. And these things will actually happen.” Baron Investment Conference, 2022

ELON CLIPS

34,124 Aufrufe • vor 1 Jahr

Godfather of AI Yann LeCun reveals the humanoid robot industry's secret: the companies building the robots have no idea how to make them smart enough to be useful. "There is a lot of expectations that robotics is going to be a revolution, essentially, in a big market, eventually." "But the secret of the industry is that none of the companies at the moment that are building robots, like humanoid robots, none of those companies has any idea how to make those robots smart enough to be useful." "There's a big push for AI to make progress towards... understanding the physical world. That's what is prompting this investment." "There's nothing wrong with investing in LLMs. LLMs are useful. They're just addressing a completely different set of applications, really." LeCun is not describing someone else's problem. He has spent 15 years on world models, raised more than $1 billion for AMI Labs to build that missing intelligence layer, and in the same interview he calls 2026 the year of the world model and puts consumer robots 3 to 5 years out. Every humanoid robot demo you have seen is a body waiting for a brain. The winner in robotics will not be the company that shipped the body; it will be the one that ships the intelligence. - Yann LeCun (Yann LeCun), Turing Award winner and founder of AMI Labs, on Bloomberg Television.
1:01

Godfather of AI Yann LeCun reveals the humanoid robot industry's secret: the companies building the robots have no idea how to make them smart enough to be useful. "There is a lot of expectations that robotics is going to be a revolution, essentially, in a big market, eventually." "But the secret of the industry is that none of the companies at the moment that are building robots, like humanoid robots, none of those companies has any idea how to make those robots smart enough to be useful." "There's a big push for AI to make progress towards... understanding the physical world. That's what is prompting this investment." "There's nothing wrong with investing in LLMs. LLMs are useful. They're just addressing a completely different set of applications, really." LeCun is not describing someone else's problem. He has spent 15 years on world models, raised more than $1 billion for AMI Labs to build that missing intelligence layer, and in the same interview he calls 2026 the year of the world model and puts consumer robots 3 to 5 years out. Every humanoid robot demo you have seen is a body waiting for a brain. The winner in robotics will not be the company that shipped the body; it will be the one that ships the intelligence. - Yann LeCun (Yann LeCun), Turing Award winner and founder of AMI Labs, on Bloomberg Television.

Karl Mehta

44,425 Aufrufe • vor 1 Monat

AheadForm just raised a new A1 round worth hundreds of millions of RMB (~tens of millions USD) 🤖 That matters because this is not another humanoid company chasing locomotion first. AheadForm is building around the part most robotics startups still underestimate: face, emotion, and real-time human connection. The new funding will go into multimodal embodied interaction, emotion foundation models, facial hardware and materials, standardized delivery, and global expansion. Founded in June 2024, the company is still young, but the founder’s research trail is not. Yuhang Hu, a Columbia PhD and AheadForm’s CEO/CTO, has published work spanning facial coexpression, realistic lip motion for humanoid face robots, and self-supervised robot self-modeling. That is the deeper signal here. In a market crowded with hands, arms, and walking demos, investors are now putting serious money behind embodied AI that can express, respond, and hold attention face to face. And the company is moving fast. According to public reports, AheadForm has completed five funding rounds since the second half of 2025, while its robots have already broken out of lab-only visibility through public activations like the NetEase Justice mobile game collaboration and large robot-stage appearances. If humanoid robotics is about physical labor, AheadForm is making the case that the next layer is emotional presence. That may end up being one of the more important categories in embodied AI.
0:31

AheadForm just raised a new A1 round worth hundreds of millions of RMB (~tens of millions USD) 🤖 That matters because this is not another humanoid company chasing locomotion first. AheadForm is building around the part most robotics startups still underestimate: face, emotion, and real-time human connection. The new funding will go into multimodal embodied interaction, emotion foundation models, facial hardware and materials, standardized delivery, and global expansion. Founded in June 2024, the company is still young, but the founder’s research trail is not. Yuhang Hu, a Columbia PhD and AheadForm’s CEO/CTO, has published work spanning facial coexpression, realistic lip motion for humanoid face robots, and self-supervised robot self-modeling. That is the deeper signal here. In a market crowded with hands, arms, and walking demos, investors are now putting serious money behind embodied AI that can express, respond, and hold attention face to face. And the company is moving fast. According to public reports, AheadForm has completed five funding rounds since the second half of 2025, while its robots have already broken out of lab-only visibility through public activations like the NetEase Justice mobile game collaboration and large robot-stage appearances. If humanoid robotics is about physical labor, AheadForm is making the case that the next layer is emotional presence. That may end up being one of the more important categories in embodied AI.

RoboHub🤖

155,548 Aufrufe • vor 4 Monaten

China is leading in the humanoid race. 🇨🇳 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 they’ll be used in frontline production tasks. Let's look at monehh: so UBTECH’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. 🇪🇺 In the meantime, USA claims that Chinese robots are fake, and China casually keep shipping them. 🇺🇸 The challenge is no longer whether humanoids will be used in industry, it’s who gets them deployed, reliable, and affordable first. And right now, Asia is the one shipping robots by the truckload. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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China is leading in the humanoid race. 🇨🇳 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 they’ll be used in frontline production tasks. Let's look at monehh: so UBTECH’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. 🇪🇺 In the meantime, USA claims that Chinese robots are fake, and China casually keep shipping them. 🇺🇸 The challenge is no longer whether humanoids will be used in industry, it’s who gets them deployed, reliable, and affordable first. And right now, Asia is the one shipping robots by the truckload. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

13,890 Aufrufe • vor 9 Monaten