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Unitree’s CEO Wang Xingxing has been pretty direct that humanoid robots are still not ready for mass deployment in real industrial workflows. After watching Unitree’s control and execution on the 2026 Spring Festival Gala stage, it is hard to argue they lack capability, which is exactly why that honest...

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Eren Chen

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35,457 просмотров • 7 месяцев назад •via X (Twitter)

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The First Manufacturer to Mass-Produce 5,000 Humanoid Robots AgiBOT rolled off its 5,000th humanoid robot (a Lingxi X2) today, marking a milestone for both the company and the humanoid robot industry as a whole: a significant step towards large-scale deployment in the real world. AgiBOT co-founder and CTO Peng Zhihui stated in a live said that these 5,000 units include the Yuanzheng series (1742), the Lingxi series (1846), and the Genie series (1412). These humanoid robots will be deployed in various settings, including scientific research, entertainment, shopping malls, factories, and warehouses. This also signals that AgiBOT has the capacity for mass production and is ready to meet future surges in customer demand. Its production partner, LingyiTech, was the main force behind the assembly of AgiBOT's 5,000 humanoid robots this year, and they are planning an automated production line with an annual capacity of 500,000 units. Next year will be a milestone year for humanoid robots, reaching 10,000 units annually. Including Tesla, 1X, UBTECH…
0:42

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

CyberRobo

47,095 просмотров • 10 месяцев назад

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

44,534 просмотров • 2 месяцев назад

The U.S. Department of Defense is moving toward large-volume procurement of one-way attack drones, with requirements reaching up to 300,000 units over the coming years. This is a different level of scale for institutional procurement. At Ondas Capital, this is the operating model we are preparing for, working with companies already aligned with scalable production, supply chain resilience, and deployment readiness. Real capability comes from systems that can scale together, not from isolated solutions. If you are currently building for this level of production, scale, and deployment readiness, Ondas Capital is open to discussion: #OndasCapital Department of War CTO #JamesAcuna #DroneDominance #DefenseTechnology #UnmannedSystems
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The U.S. Department of Defense is moving toward large-volume procurement of one-way attack drones, with requirements reaching up to 300,000 units over the coming years. This is a different level of scale for institutional procurement. At Ondas Capital, this is the operating model we are preparing for, working with companies already aligned with scalable production, supply chain resilience, and deployment readiness. Real capability comes from systems that can scale together, not from isolated solutions. If you are currently building for this level of production, scale, and deployment readiness, Ondas Capital is open to discussion: #OndasCapital Department of War CTO #JamesAcuna #DroneDominance #DefenseTechnology #UnmannedSystems

OndasCapital

13,592 просмотров • 4 месяцев назад

.Neros Technologies just won a $500M-ceiling US Army contract for its Archer FPV drones. CEO Soren Monroe-Anderson (Soren Monroe-Anderson) on why scaling drone production is the hard part and why very few are doing it well. "I think a lot of drone companies or just a lot of companies in the defense tech space sort of claim that they're ready to produce at scale when they're not, like they haven't proved it... And so a lot of the IP is how we build drones, how we test drones, how we design drones for testing, for reliability, for manufacturability, all of the data we've collected is we've built tens of thousands of drones. These are things that you can't just like drop in and replicate... Like it's really not that hard to put together an FPV drone and go demo it and even get like a contract off of that. It's consistent scale production that's hard."
3:36

.Neros Technologies just won a $500M-ceiling US Army contract for its Archer FPV drones. CEO Soren Monroe-Anderson (Soren Monroe-Anderson) on why scaling drone production is the hard part and why very few are doing it well. "I think a lot of drone companies or just a lot of companies in the defense tech space sort of claim that they're ready to produce at scale when they're not, like they haven't proved it... And so a lot of the IP is how we build drones, how we test drones, how we design drones for testing, for reliability, for manufacturability, all of the data we've collected is we've built tens of thousands of drones. These are things that you can't just like drop in and replicate... Like it's really not that hard to put together an FPV drone and go demo it and even get like a contract off of that. It's consistent scale production that's hard."

Mo Islam

17,729 просмотров • 2 месяцев назад

The full LadderMan podcast episode is finally live! 🪜 LadderMan is one of the most interesting papers recently: instead of just walking on flat ground or doing flashy demos, it tackles a very real-world capability — letting humanoid robots climb ladders with perception, planning, and whole-body control. To me, this is exactly the kind of work that pushes robots closer to actually operating in human environments. Huge thanks again to Siheng Zhao , Chris Paxton, The Humanoid Hub, and Zifan Xu for joining the discussion. The full episode is a bit long, so I’ll be cutting some of the best moments into shorter clips and sharing them soon.
54:58

The full LadderMan podcast episode is finally live! 🪜 LadderMan is one of the most interesting papers recently: instead of just walking on flat ground or doing flashy demos, it tackles a very real-world capability — letting humanoid robots climb ladders with perception, planning, and whole-body control. To me, this is exactly the kind of work that pushes robots closer to actually operating in human environments. Huge thanks again to Siheng Zhao , Chris Paxton, The Humanoid Hub, and Zifan Xu for joining the discussion. The full episode is a bit long, so I’ll be cutting some of the best moments into shorter clips and sharing them soon.

Eren Chen

10,658 просмотров • 3 месяцев назад

Humanoid robots are starting to build humanoid robots. UBTECH just put a 14,000㎡ humanoid robot factory into operation in Liuzhou, China, with a designed takt time of one humanoid every 10 minutes and planned annual capacity in the tens of thousands. What’s interesting is that humanoid robots are already part of the production process. Cruzr Y1 and Y2 handle depalletizing, palletizing, material feeding and transport, using 3D vision to adapt to shifted boxes and changing pallet patterns. On the assembly side, Walker S2 and Cruzr are produced on the same line alongside cobots, autonomous logistics vehicles and assistive manipulators. The factory also has a 65㎡ automated warehouse capable of storing 112 humanoids, with AGVs, industrial robots and stacker cranes coordinated as one system. Before production, the factory was modeled 1:1 in Siemens Plant Simulation, covering workstations, racks and AGVs. Each robot gets its own SN, with components, batches, assembly parameters and inspection data tracked all the way to delivery. Humanoid robots are now entering automated manufacturing at the 10,000-unit scale. The next milestone may be when they can take part in enough of the assembly, testing and production process to truly build robots themselves.
1:02

Humanoid robots are starting to build humanoid robots. UBTECH just put a 14,000㎡ humanoid robot factory into operation in Liuzhou, China, with a designed takt time of one humanoid every 10 minutes and planned annual capacity in the tens of thousands. What’s interesting is that humanoid robots are already part of the production process. Cruzr Y1 and Y2 handle depalletizing, palletizing, material feeding and transport, using 3D vision to adapt to shifted boxes and changing pallet patterns. On the assembly side, Walker S2 and Cruzr are produced on the same line alongside cobots, autonomous logistics vehicles and assistive manipulators. The factory also has a 65㎡ automated warehouse capable of storing 112 humanoids, with AGVs, industrial robots and stacker cranes coordinated as one system. Before production, the factory was modeled 1:1 in Siemens Plant Simulation, covering workstations, racks and AGVs. Each robot gets its own SN, with components, batches, assembly parameters and inspection data tracked all the way to delivery. Humanoid robots are now entering automated manufacturing at the 10,000-unit scale. The next milestone may be when they can take part in enough of the assembly, testing and production process to truly build robots themselves.

CyberRobo

18,047 просмотров • 26 дней назад

.travis kalanick on why specialized robots beat humanoids for real work: "I'm not anti-humanoid, I'm non-humanoid. There are tasks that are good for humanoids, low scale, high diversity, in human environments, humanoid all the way. But the minute you have a machine doing a high-scale task, we're no longer in humanoid land, we're in specialized robotics land." "There was a moment nine months ago where humanoids were the mega rage of all time. When your hairdresser says he's getting into the humanoid business, we know something's wrong." "If I had to make 1,000 pancakes an hour, I'd never have a humanoid do it, you'd need 100 humanoids going gg-gg-gg. It's like the humanoid Olympics in Beijing, they're doing the marathon and it's cool, but all I could think is, imagine if you put wheels on them. Would you ever put a humanoid in a car to drive it?" "High scale, repetitive tasks do not need to be in human form, and they won't be, because humans are meant to do lots of things at low scale."
2:17

.travis kalanick on why specialized robots beat humanoids for real work: "I'm not anti-humanoid, I'm non-humanoid. There are tasks that are good for humanoids, low scale, high diversity, in human environments, humanoid all the way. But the minute you have a machine doing a high-scale task, we're no longer in humanoid land, we're in specialized robotics land." "There was a moment nine months ago where humanoids were the mega rage of all time. When your hairdresser says he's getting into the humanoid business, we know something's wrong." "If I had to make 1,000 pancakes an hour, I'd never have a humanoid do it, you'd need 100 humanoids going gg-gg-gg. It's like the humanoid Olympics in Beijing, they're doing the marathon and it's cool, but all I could think is, imagine if you put wheels on them. Would you ever put a humanoid in a car to drive it?" "High scale, repetitive tasks do not need to be in human form, and they won't be, because humans are meant to do lots of things at low scale."

MTS

52,573 просмотров • 2 месяцев назад

🚨🚨🚨Humanoid Robots Just Stepped Into the Ring** This is not really a fight. Not yet. The robots are slow, awkward, unstable, and clearly still learning how to move like athletes. But that is exactly what makes the clip interesting. A boxing ring is one of the hardest places to fake progress. Balance matters. Reaction time matters. Footwork matters. One bad movement, and the machine is on the floor. Today, it looks funny. But every fall is data. Every awkward punch is training. And every public demo like this brings humanoid robots one step closer to moving through the world with real physical confidence. The fight is not between two robots. It is between robotics and gravity.
0:25

🚨🚨🚨Humanoid Robots Just Stepped Into the Ring** This is not really a fight. Not yet. The robots are slow, awkward, unstable, and clearly still learning how to move like athletes. But that is exactly what makes the clip interesting. A boxing ring is one of the hardest places to fake progress. Balance matters. Reaction time matters. Footwork matters. One bad movement, and the machine is on the floor. Today, it looks funny. But every fall is data. Every awkward punch is training. And every public demo like this brings humanoid robots one step closer to moving through the world with real physical confidence. The fight is not between two robots. It is between robotics and gravity.

velora

15,097 просмотров • 1 месяц назад

I need you to sit down for a moment and fully understand this: THE COUNTRY THAT SOLVES AI AND ROBOTICS WILL RULE THE WORLD AND SPACE. The west really only has Elon Musk, the east has 100s of companies fortified by an ENTIRE COUNTRY. Now some will argue no this is not true. No US company has the scale to MANUFACTURE, the compute power, and the finances to compete. Just a few hours ago we saw IRON for the first time, now you will. IRON, a 5’10, 150-lb AI humanoid robots are already building EV cars on the XPENG Motors factory floor. It has over 60 joints, a human-like spine, facial expressions, and male/female customizations The gait of this robot is the most human-like ever seen. Mass rollout in 2026. It is a very big deal. Because as the west does the best in clubbing each other over its head the last decade, China has looked and laughed and built at scale with a fortified government that has little diversion of goal, a 1000 year plan. The west has quietly plans and layers of lawyers and politicians. This is about where YOU LIVE and how you want to live. So when we kick the one person that is Atlas carrying our chance, in the groin, you make a choice on who’s world view you want. It is that simple. No, it is that simple. It ain’t no iPhone it is: whose’s world view will sustain. I can say no one is ready for what I have seen that is up for the next few years. You will think my bombastics were too tame.
7:10

I need you to sit down for a moment and fully understand this: THE COUNTRY THAT SOLVES AI AND ROBOTICS WILL RULE THE WORLD AND SPACE. The west really only has Elon Musk, the east has 100s of companies fortified by an ENTIRE COUNTRY. Now some will argue no this is not true. No US company has the scale to MANUFACTURE, the compute power, and the finances to compete. Just a few hours ago we saw IRON for the first time, now you will. IRON, a 5’10, 150-lb AI humanoid robots are already building EV cars on the XPENG Motors factory floor. It has over 60 joints, a human-like spine, facial expressions, and male/female customizations The gait of this robot is the most human-like ever seen. Mass rollout in 2026. It is a very big deal. Because as the west does the best in clubbing each other over its head the last decade, China has looked and laughed and built at scale with a fortified government that has little diversion of goal, a 1000 year plan. The west has quietly plans and layers of lawyers and politicians. This is about where YOU LIVE and how you want to live. So when we kick the one person that is Atlas carrying our chance, in the groin, you make a choice on who’s world view you want. It is that simple. No, it is that simple. It ain’t no iPhone it is: whose’s world view will sustain. I can say no one is ready for what I have seen that is up for the next few years. You will think my bombastics were too tame.

Brian Roemmele

446,941 просмотров • 11 месяцев назад

We’re excited to welcome Animesh Garg as our new Chief Research Officer at microagi, with the team from Usable Robots joining him. He has spent most of his career working on one of the hardest problems in robotics: getting robots out of the lab and into the real world. Frontier AI now works. Hardware is becoming cheap. And the industry is finally learning how to collect robot data at scale. What’s still missing is post-training. Taking a general-purpose model and teaching it one specific job, in one specific environment, until a company can actually depend on it. In LLMs, post-training is what turned impressive demos into products. In robotics, that layer barely exists yet. A strong model is a capability. A robot that can perform the same job, on the same line, every shift, without an engineer standing next to it, is a product. And that process has to happen again for every task, every site, and every customer. We believe the company that can do this well, fast, and at scale will be the company that puts robots into production at massive scale. MicroAGI is building both sides of that system. With shift, we’re building one of the most diverse and largest egocentric datasets in the world. With Atlas, we post-train and harness models directly on enterprise deployments. Our goal is simple: Deploy 1 million robots.
1:37

We’re excited to welcome Animesh Garg as our new Chief Research Officer at microagi, with the team from Usable Robots joining him. He has spent most of his career working on one of the hardest problems in robotics: getting robots out of the lab and into the real world. Frontier AI now works. Hardware is becoming cheap. And the industry is finally learning how to collect robot data at scale. What’s still missing is post-training. Taking a general-purpose model and teaching it one specific job, in one specific environment, until a company can actually depend on it. In LLMs, post-training is what turned impressive demos into products. In robotics, that layer barely exists yet. A strong model is a capability. A robot that can perform the same job, on the same line, every shift, without an engineer standing next to it, is a product. And that process has to happen again for every task, every site, and every customer. We believe the company that can do this well, fast, and at scale will be the company that puts robots into production at massive scale. MicroAGI is building both sides of that system. With shift, we’re building one of the most diverse and largest egocentric datasets in the world. With Atlas, we post-train and harness models directly on enterprise deployments. Our goal is simple: Deploy 1 million robots.

microagi

70,820 просмотров • 9 дней назад

In this new COMPUTEX 2025 keynote Nvidia's CEO makes an important argument for why humanoid robots are likely the only universal type of robot that will work: "the reason for that is because technology needs scale. Most of the robotic systems we've had so far are too low volume and those low volume systems will never achieve the technology scale to get the flywheel going far enough, fast enough so that we are willing to dedictate enough technology into it to make it better".
0:31

In this new COMPUTEX 2025 keynote Nvidia's CEO makes an important argument for why humanoid robots are likely the only universal type of robot that will work: "the reason for that is because technology needs scale. Most of the robotic systems we've had so far are too low volume and those low volume systems will never achieve the technology scale to get the flywheel going far enough, fast enough so that we are willing to dedictate enough technology into it to make it better".

AJ Investment Research

19,785,549 просмотров • 1 год назад

HUMANOID ROBOTS ARE AMAZING. BUT WHERE IS THE ROI? Watching a humanoid robot work at BMW is genuinely impressive. As an engineer, I love it. But I also can’t ignore one question. For this task, why not use a 6-axis robot on a linear axis? It would likely be: * Faster. * More precise. * More stable. * Much cheaper. So why the humanoid? Because BMW isn’t optimizing this task. They’re training Physical AI. Every successful grasp, every failure, every unexpected situation becomes data that teaches robots to handle the real world. That’s the real investment. The demo is impressive. The business case? I’m not convinced… yet. Are we looking at the future of manufacturing—or the world’s most expensive AI training program? Best regards Ulrich #HumanoidRobots #PhysicalAI #Robotics #Automation #Manufacturing #Engineering #AI #IndustrialAutomation
0:32

HUMANOID ROBOTS ARE AMAZING. BUT WHERE IS THE ROI? Watching a humanoid robot work at BMW is genuinely impressive. As an engineer, I love it. But I also can’t ignore one question. For this task, why not use a 6-axis robot on a linear axis? It would likely be: * Faster. * More precise. * More stable. * Much cheaper. So why the humanoid? Because BMW isn’t optimizing this task. They’re training Physical AI. Every successful grasp, every failure, every unexpected situation becomes data that teaches robots to handle the real world. That’s the real investment. The demo is impressive. The business case? I’m not convinced… yet. Are we looking at the future of manufacturing—or the world’s most expensive AI training program? Best regards Ulrich #HumanoidRobots #PhysicalAI #Robotics #Automation #Manufacturing #Engineering #AI #IndustrialAutomation

Advanced humanoid forum

11,496 просмотров • 2 месяцев назад

On Bloomberg last night, I was asked why Amazon drives more than a third of U.S. e-commerce. It is not because of their storefront. It is not because of their payments. It is not even because of product selection. It is because consumers trust their deliveries. That trust is built on physical infrastructure at scale with intelligence layered on top. And that is what Stord is building for every independent merchant. The most defensible companies in the world combine software intelligence with physical execution. Today, 9 of the 10 largest U.S. companies by revenue operate physical networks at scale. Software alone cannot replicate the outcomes created when you control the movement of physical atoms. That is the physical intelligence layer for commerce. And that is what Stord Labs is built to advance. Deploying AI and robotics against real operational complexity, in the real world, across a vertically integrated network operating at scale. Bloomberg TV
5:51

On Bloomberg last night, I was asked why Amazon drives more than a third of U.S. e-commerce. It is not because of their storefront. It is not because of their payments. It is not even because of product selection. It is because consumers trust their deliveries. That trust is built on physical infrastructure at scale with intelligence layered on top. And that is what Stord is building for every independent merchant. The most defensible companies in the world combine software intelligence with physical execution. Today, 9 of the 10 largest U.S. companies by revenue operate physical networks at scale. Software alone cannot replicate the outcomes created when you control the movement of physical atoms. That is the physical intelligence layer for commerce. And that is what Stord Labs is built to advance. Deploying AI and robotics against real operational complexity, in the real world, across a vertically integrated network operating at scale. Bloomberg TV

Sean Henry

1,275,489 просмотров • 4 месяцев назад

The U.S. Department of Defense is preparing to procure drones at a scale the industry has not seen before: tranches of purchases targeting up to 300,000 units over the next 2 1/2 years. But volume alone does not define the opportunity. Drones that cannot survive electronic warfare will not be relevant on the battlefield, regardless of specifications. That is the filter that matters. At Ondas Capital, we are building a portfolio around this reality, identifying and backing companies with battlefield-tested systems, proven electronic warfare resilience, and the production infrastructure to scale when called upon. #OndasCapital #JamesAcuna Department of War CTO #DroneDominance #DefenseTechnology #UnmannedSystems #Manufacturing #Execution
0:30

The U.S. Department of Defense is preparing to procure drones at a scale the industry has not seen before: tranches of purchases targeting up to 300,000 units over the next 2 1/2 years. But volume alone does not define the opportunity. Drones that cannot survive electronic warfare will not be relevant on the battlefield, regardless of specifications. That is the filter that matters. At Ondas Capital, we are building a portfolio around this reality, identifying and backing companies with battlefield-tested systems, proven electronic warfare resilience, and the production infrastructure to scale when called upon. #OndasCapital #JamesAcuna Department of War CTO #DroneDominance #DefenseTechnology #UnmannedSystems #Manufacturing #Execution

OndasCapital

28,931 просмотров • 4 месяцев назад

❗️Ukraine has created a powerful drone industry: hundreds of companies and joint production with the US, — Zelenskyy During the war, Ukraine has built a powerful industry of military technologies, particularly drones. According to Volodymyr Zelenskyy, today we are talking not about dozens, but about hundreds of companies operating in this sector. The President emphasized that this industry is generating significant interest in the United States, and Ukraine is ready to share its experience with strategic partners and develop large-scale joint production with American military technologies. “This has a huge future,” Zelenskyy noted.
0:37

❗️Ukraine has created a powerful drone industry: hundreds of companies and joint production with the US, — Zelenskyy During the war, Ukraine has built a powerful industry of military technologies, particularly drones. According to Volodymyr Zelenskyy, today we are talking not about dozens, but about hundreds of companies operating in this sector. The President emphasized that this industry is generating significant interest in the United States, and Ukraine is ready to share its experience with strategic partners and develop large-scale joint production with American military technologies. “This has a huge future,” Zelenskyy noted.

🪖MilitaryNewsUA🇺🇦

29,857 просмотров • 9 месяцев назад

Elon just dropped a MAJOR nugget on how Tesla is going to be training Optimus to do real world tasks. They are building an Optimus Academy, which is a large scale, dedicated real-world training facility to accelerate the development of Optimus. The Academy will deploy thousands of Optimus units, potentially 10,000 to 30,000 robots, in a controlled realistic environment where they perform self-play, experiment with tasks, iterate on behaviors, and continuously generate training data through trial and error. The Tesla bots will also run millions of simulations in Tesla’s high-fidelity physics-accurate engine, allowing Optimus to close the “sim-to-real gap” by using these real-world observations to refine and validate the simulations! “You’re actually highlighting an important limitation and difference from cars. We’ll soon have 10 million cars on the road. It’s hard to duplicate that massive training flywheel. For the robot, what we’re going to need to do is build a lot of robots and put them in kind of an Optimus Academy so they can do self-play in reality. We’re actually building that out. We can have at least 10,000 Optimus robots, maybe 20-30,000, that are doing self-play and testing different tasks. Tesla has quite a good reality generator, a physics-accurate reality generator, that we made for the cars. We’ll do the same thing for the robots. We actually have done that for the robots. So you have a few tens of thousands of humanoid robots doing different tasks. You can do millions of simulated robots in the simulated world. You use the tens of thousands of robots in the real world to close the simulation to reality gap. Close the sim-to-real gap.”
1:20

Elon just dropped a MAJOR nugget on how Tesla is going to be training Optimus to do real world tasks. They are building an Optimus Academy, which is a large scale, dedicated real-world training facility to accelerate the development of Optimus. The Academy will deploy thousands of Optimus units, potentially 10,000 to 30,000 robots, in a controlled realistic environment where they perform self-play, experiment with tasks, iterate on behaviors, and continuously generate training data through trial and error. The Tesla bots will also run millions of simulations in Tesla’s high-fidelity physics-accurate engine, allowing Optimus to close the “sim-to-real gap” by using these real-world observations to refine and validate the simulations! “You’re actually highlighting an important limitation and difference from cars. We’ll soon have 10 million cars on the road. It’s hard to duplicate that massive training flywheel. For the robot, what we’re going to need to do is build a lot of robots and put them in kind of an Optimus Academy so they can do self-play in reality. We’re actually building that out. We can have at least 10,000 Optimus robots, maybe 20-30,000, that are doing self-play and testing different tasks. Tesla has quite a good reality generator, a physics-accurate reality generator, that we made for the cars. We’ll do the same thing for the robots. We actually have done that for the robots. So you have a few tens of thousands of humanoid robots doing different tasks. You can do millions of simulated robots in the simulated world. You use the tens of thousands of robots in the real world to close the simulation to reality gap. Close the sim-to-real gap.”

Teslaconomics

42,563 просмотров • 8 месяцев назад

China's humanoid robotics market is on fire. With orders expected to top 30,000 units this year—a tenfold jump from 2024's total of less than 3,000—2025 is officially shaping up to be the "Year of Mass Production." This surge, driven by an expansion into new sectors like industrial manufacturing, logistics, and elder care, is reflected in a wave of new deals across the industry. Here's a look at some of the key commercial progress: Astribot: A 1,000-unit order for industrial and logistics deployment over two years. TianTai Robotics: Signed a major 10,000-unit order for caregiving robots. Noetix Robotics : Received over 2,000 intent orders in one month, valued at over 100 million yuan, with a focus on education and commercial performances. AgiBot: Expects to ship thousands of units this year and tens of thousands in 2026. Unitree Robotics: Has orders for thousands of units and is one of the most visible products in the industry. UBTech: Aims to deliver 500 industrial humanoids in 2025, with educational robot orders already exceeding 300 units. Robot Era: Delivered over 300 units by July 2025 with 500 more on hand. TLIBOT: Has around 1,000 intent orders. Galbot: Secured orders for its supermarket security robot, Galbot, in 100 stores. AI² Robotics: Has nearly 500 orders for its general-purpose robots for industrial and public service scenarios. But here’s the crucial reality check. While the order boom is exciting, it doesn't automatically translate to fulfilled deliveries. Many companies lack the production capacity to keep up. A significant portion of these are "intent orders" or framework agreements, not guaranteed sales. Furthermore, the market is heavily B2B-focused, with consumer demand representing only about 5% of sales. Some orders are even symbolic, for public relations or strategic purposes. This “order frenzy” is a starting point, not the finish line. The true test for China's humanoid robot industry isn't who can secure the biggest order, but who can consistently deliver on it and build a stable market for the future.
2:44

China's humanoid robotics market is on fire. With orders expected to top 30,000 units this year—a tenfold jump from 2024's total of less than 3,000—2025 is officially shaping up to be the "Year of Mass Production." This surge, driven by an expansion into new sectors like industrial manufacturing, logistics, and elder care, is reflected in a wave of new deals across the industry. Here's a look at some of the key commercial progress: Astribot: A 1,000-unit order for industrial and logistics deployment over two years. TianTai Robotics: Signed a major 10,000-unit order for caregiving robots. Noetix Robotics : Received over 2,000 intent orders in one month, valued at over 100 million yuan, with a focus on education and commercial performances. AgiBot: Expects to ship thousands of units this year and tens of thousands in 2026. Unitree Robotics: Has orders for thousands of units and is one of the most visible products in the industry. UBTech: Aims to deliver 500 industrial humanoids in 2025, with educational robot orders already exceeding 300 units. Robot Era: Delivered over 300 units by July 2025 with 500 more on hand. TLIBOT: Has around 1,000 intent orders. Galbot: Secured orders for its supermarket security robot, Galbot, in 100 stores. AI² Robotics: Has nearly 500 orders for its general-purpose robots for industrial and public service scenarios. But here’s the crucial reality check. While the order boom is exciting, it doesn't automatically translate to fulfilled deliveries. Many companies lack the production capacity to keep up. A significant portion of these are "intent orders" or framework agreements, not guaranteed sales. Furthermore, the market is heavily B2B-focused, with consumer demand representing only about 5% of sales. Some orders are even symbolic, for public relations or strategic purposes. This “order frenzy” is a starting point, not the finish line. The true test for China's humanoid robot industry isn't who can secure the biggest order, but who can consistently deliver on it and build a stable market for the future.

RoboHub🤖

199,757 просмотров • 1 год назад

The Russians are not preparing for peace. We must ensure complete protection – and that is exactly what we are doing. Meanwhile, we are not postponing negotiations; no one is disappointed in diplomacy. This is not a matter of emotions, as some might say. It is a matter of what partners are ready for. Russia operates in a very simple way: if they are afraid, they’re willing to toe the line. If pressure on Russia is weakened, Russia thinks it has struck gold and can continue the war. That is why pressure on the aggressor is the key to peace, real diplomacy, and real agreements. Today, I gave new instructions to Rustem Umerov. He is in constant communication with the American side, 24/7. This week we will also work with our partners in Europe so that Ukraine has greater capabilities to defend itself, and our partners are more willing to support us. Thank you to everyone who is helping.
4:39

The Russians are not preparing for peace. We must ensure complete protection – and that is exactly what we are doing. Meanwhile, we are not postponing negotiations; no one is disappointed in diplomacy. This is not a matter of emotions, as some might say. It is a matter of what partners are ready for. Russia operates in a very simple way: if they are afraid, they’re willing to toe the line. If pressure on Russia is weakened, Russia thinks it has struck gold and can continue the war. That is why pressure on the aggressor is the key to peace, real diplomacy, and real agreements. Today, I gave new instructions to Rustem Umerov. He is in constant communication with the American side, 24/7. This week we will also work with our partners in Europe so that Ukraine has greater capabilities to defend itself, and our partners are more willing to support us. Thank you to everyone who is helping.

Volodymyr Zelenskyy / Володимир Зеленський

340,665 просмотров • 6 месяцев назад