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Here is a human assembling a BMW engine by hand. Hundreds of components. Micron tolerances. Dozens of hours. So what's better here—a human or a robot❓ 🤖 Robots win at: - Repeatability. Same torque, same angle, every time. - Speed on defined tasks. Honda automates piston installation at 9,000/day....

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Jack 🤖

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379,855 просмотров • 7 месяцев назад •via X (Twitter)

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Researchers at RAI Institute developed the Koala gripper to help robots handle tools and objects more naturally. The system includes a handheld version for humans and a motorized version for robots, both using the same design and sensors. By learning from human demonstrations recorded with cameras and force sensors, robots can repeat the same tasks using the Koala gripper.
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Researchers at RAI Institute developed the Koala gripper to help robots handle tools and objects more naturally. The system includes a handheld version for humans and a motorized version for robots, both using the same design and sensors. By learning from human demonstrations recorded with cameras and force sensors, robots can repeat the same tasks using the Koala gripper.

Space and Technology

21,980 просмотров • 15 дней назад

1/ What is Teleops? Teleoperation is the human control of a system or machine from a distance. In OpenMind's case, it's robots operated by humans across the world, providing expert services to users.
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1/ What is Teleops? Teleoperation is the human control of a system or machine from a distance. In OpenMind's case, it's robots operated by humans across the world, providing expert services to users.

OpenMind

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⚡️MEET THE THIS HEAD-TURNER ROBOT Agile One stole the spotlight at Hannover Messe 2026, assembling mini robots live on the factory floor. Built by Agile Robots, it can work with humans, talk to visitors, and adapt in real time. Physical AI is ready to be your colleague.
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⚡️MEET THE THIS HEAD-TURNER ROBOT Agile One stole the spotlight at Hannover Messe 2026, assembling mini robots live on the factory floor. Built by Agile Robots, it can work with humans, talk to visitors, and adapt in real time. Physical AI is ready to be your colleague.

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How fun it is to work a whole day at a robot company! These are #robots from #Changchun, #China. What can robots do in your country? Drop your answers in the comments!
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How fun it is to work a whole day at a robot company! These are #robots from #Changchun, #China. What can robots do in your country? Drop your answers in the comments!

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631,371 просмотров • 5 месяцев назад

Dynamic manipulation steps up to the plate! This is a first look at a low-impedance platform designed to study how robots manipulate objects. In this demo, two robots play catch and practice batting, even teaming up with humans. The robots are capable of throwing 70mph [112 kph] and can catch and bat at short distances (23ft [7m]) :
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Dynamic manipulation steps up to the plate! This is a first look at a low-impedance platform designed to study how robots manipulate objects. In this demo, two robots play catch and practice batting, even teaming up with humans. The robots are capable of throwing 70mph [112 kph] and can catch and bat at short distances (23ft [7m]) :

RAI Institute

25,497 просмотров • 7 месяцев назад

I'll tell it like it is: they're lying. Robots are getting better and better, and the goal now is not to support human labor, as suggested in the video, but in the long term they will replace human labor. In a market economy, profit is the only thing that counts, whether you like to criticize that or not. The fact is, however, that robots will be cheaper than human labor and will therefore be preferred. Moreover, robots are getting better and better, they will work longer hours than humans, are less prone to errors, do not fall ill and do not need vacations. They are superior to human labor.
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I'll tell it like it is: they're lying. Robots are getting better and better, and the goal now is not to support human labor, as suggested in the video, but in the long term they will replace human labor. In a market economy, profit is the only thing that counts, whether you like to criticize that or not. The fact is, however, that robots will be cheaper than human labor and will therefore be preferred. Moreover, robots are getting better and better, they will work longer hours than humans, are less prone to errors, do not fall ill and do not need vacations. They are superior to human labor.

Chubby♨️

65,163 просмотров • 1 год назад

Elon Musk envisions a future where everyone gets access to the world's best surgeons—because Tesla's Optimus robots will deliver superhuman precision for any medical procedure, even ones too complex for humans. "Imagine a world where everyone has access to the best surgeons, literally everyone... Optimus will have the level of precision that is frankly superhuman... and that will be available to anyone." Money can't scale top doctors—they're rare. But robots? Built in factories at scale. From scarcity to abundance: Could humanoid robots truly end healthcare inequality? Would you trust an Optimus robot for surgery if it outperformed humans? Or is the human touch irreplaceable? What's your take on this bold vision? Drop thoughts below.
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Elon Musk envisions a future where everyone gets access to the world's best surgeons—because Tesla's Optimus robots will deliver superhuman precision for any medical procedure, even ones too complex for humans. "Imagine a world where everyone has access to the best surgeons, literally everyone... Optimus will have the level of precision that is frankly superhuman... and that will be available to anyone." Money can't scale top doctors—they're rare. But robots? Built in factories at scale. From scarcity to abundance: Could humanoid robots truly end healthcare inequality? Would you trust an Optimus robot for surgery if it outperformed humans? Or is the human touch irreplaceable? What's your take on this bold vision? Drop thoughts below.

Camus

11,255 просмотров • 4 месяцев назад

A Few Thoughts on Robotics The criticism that robotics can only be used in a rather one-sided way is, at the same time, the solution to the problem. What do I mean by that? Since the Industrial Revolution, humanity has increasingly made production methods more efficient. Fordism introduced assembly line work, but this comes at the expense of monotonous, repetitive tasks. On the one hand, immense wealth has been created; on the other hand, countless people suffer from repetitive tasks, which are a direct consequence of that industrial revolution and the division of labor- in other words, assembly line work. The debate about whether AI and robotics could impact the labor market is answered in different ways. I have a clear opinion on this: Up to now, technology has merely been an augmentation, an improvement of human labor to make it more effective. Robotics and AI, however, represent a qualitative break with this situation. For the first time in human history, it won't be humans who become more efficient, but rather replaceable, insofar as human augmentation becomes *less* efficient than replacing human labor with robotics. In just a few years, a human using technology will simply be less efficient than a robot that doesn't know an eight-hour day, weekends, or holidays, but can perform monotonous tasks 24/7 on an assembly line without breaking down due to physical ailments or needing medical attention. Wear and tear simply means replacing specific parts of the robot. To return to the initial question: production doesn't require general-purpose robots capable of performing a wide variety of tasks, but rather specialized robots that excel at the specific tasks for which they are needed. Figure02 vividly illustrates why this is only now possible: even the simplest assembly line work still requires delicate manual dexterity because the production line is designed for human hands. This breakthrough has now arrived, but AGI (Automated Generating Intelligence) isn't necessary for robots to be used in production processes. It's sufficient that they can perform monotonous tasks. And that's why I believe 2026 will be the year of the robots. (Clip: Figure02 in production chain at BMW Car-production)
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A Few Thoughts on Robotics The criticism that robotics can only be used in a rather one-sided way is, at the same time, the solution to the problem. What do I mean by that? Since the Industrial Revolution, humanity has increasingly made production methods more efficient. Fordism introduced assembly line work, but this comes at the expense of monotonous, repetitive tasks. On the one hand, immense wealth has been created; on the other hand, countless people suffer from repetitive tasks, which are a direct consequence of that industrial revolution and the division of labor- in other words, assembly line work. The debate about whether AI and robotics could impact the labor market is answered in different ways. I have a clear opinion on this: Up to now, technology has merely been an augmentation, an improvement of human labor to make it more effective. Robotics and AI, however, represent a qualitative break with this situation. For the first time in human history, it won't be humans who become more efficient, but rather replaceable, insofar as human augmentation becomes *less* efficient than replacing human labor with robotics. In just a few years, a human using technology will simply be less efficient than a robot that doesn't know an eight-hour day, weekends, or holidays, but can perform monotonous tasks 24/7 on an assembly line without breaking down due to physical ailments or needing medical attention. Wear and tear simply means replacing specific parts of the robot. To return to the initial question: production doesn't require general-purpose robots capable of performing a wide variety of tasks, but rather specialized robots that excel at the specific tasks for which they are needed. Figure02 vividly illustrates why this is only now possible: even the simplest assembly line work still requires delicate manual dexterity because the production line is designed for human hands. This breakthrough has now arrived, but AGI (Automated Generating Intelligence) isn't necessary for robots to be used in production processes. It's sufficient that they can perform monotonous tasks. And that's why I believe 2026 will be the year of the robots. (Clip: Figure02 in production chain at BMW Car-production)

Chubby♨️

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🇨🇳 CHINA’S BUILDING HUMANOID ROBOTS THAT CAN MAKE SANDWICHES, DO BACKFLIPS, AND TAKE YOUR JOB In a warehouse outside Shanghai, dozens of robots are folding shirts, opening doors, and doing the same tasks over and over — all to become future factory champs. The company, AgiBot, wants robots so smart they can eventually build themselves. (Yes, like a sci-fi villain origin story.) China’s throwing billions at this robot revolution — and even President Xi pulled up to watch and joked about them playing soccer. They’re hoping this army of robots can boost the economy, fix labor shortages, and totally dominate manufacturing — while possibly putting millions of humans out of work. But hey, at least your robot nurse might help you to the bathroom one day. Source: Reuters

Mario Nawfal

48,192 просмотров • 1 год назад

Teaching robots to perform dexterous manipulation tasks currently requires teleoperation, which limits demonstration quality, speed, and scalability. Instead, why not use human videos? The problem is that a human hand isn’t a robot hand, so data must be retargeted using simulation to resolve issues like collisions and interpenetration when controlling the hand. In VideoManip, Hongyi Chen and co-authors built a system to solve this problem, taking in RGB videos of humans performing manipulation tasks and using them to create accurate simulations with which to learn robot policies. Watch episode #73 of RoboPapers, hosted by Michael Cho - Rbt/Acc and Chris Paxton, now to learn more!
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Teaching robots to perform dexterous manipulation tasks currently requires teleoperation, which limits demonstration quality, speed, and scalability. Instead, why not use human videos? The problem is that a human hand isn’t a robot hand, so data must be retargeted using simulation to resolve issues like collisions and interpenetration when controlling the hand. In VideoManip, Hongyi Chen and co-authors built a system to solve this problem, taking in RGB videos of humans performing manipulation tasks and using them to create accurate simulations with which to learn robot policies. Watch episode #73 of RoboPapers, hosted by Michael Cho - Rbt/Acc and Chris Paxton, now to learn more!

RoboPapers

27,249 просмотров • 2 месяцев назад

Teaching robots to learn only from RGB human videos is hard! In Feel The Force (FTF), we teach robots to mimic the tactile feedback humans experience when handling objects. This allows for delicate, touch-sensitive tasks—like picking up a raw egg without breaking it. 🧵👇
1:13

Teaching robots to learn only from RGB human videos is hard! In Feel The Force (FTF), we teach robots to mimic the tactile feedback humans experience when handling objects. This allows for delicate, touch-sensitive tasks—like picking up a raw egg without breaking it. 🧵👇

Lerrel Pinto

70,165 просмотров • 1 год назад

A close-up look at the China’s dancing #robots … it looks great in a hoodie too 🤣 Humans used to dance by imitating robots. Now robots imitate humans dance.
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A close-up look at the China’s dancing #robots … it looks great in a hoodie too 🤣 Humans used to dance by imitating robots. Now robots imitate humans dance.

Li Jingjing 李菁菁

332,275 просмотров • 6 месяцев назад

ELON: WE’RE NOT YET ON THE KARDASHEV SCALE, BUT WE’RE GETTING THERE “You start getting into interesting questions like what's the ratio of humans to humanoid robots? I think it might be greater than one-to-one, because you could see a home use for robots, certainly industrial uses for robots, humanoid robots. I think we might exceed a one-to-one ratio of humanoid robots to humans. It's not even clear what an economy means at that point, since an economy is output per person times persons. But if output is much higher and there's no limit on persons, then what's the actual limit on the economy? We're still pretty far from Kardashev scales here, but we're getting there. So anyway, it's probably the least understood or appreciated part of what we're doing at Tesla, but will probably be worth significantly more than the car side of things long-term.” Source: Tesla Investor Day, March 2023
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ELON: WE’RE NOT YET ON THE KARDASHEV SCALE, BUT WE’RE GETTING THERE “You start getting into interesting questions like what's the ratio of humans to humanoid robots? I think it might be greater than one-to-one, because you could see a home use for robots, certainly industrial uses for robots, humanoid robots. I think we might exceed a one-to-one ratio of humanoid robots to humans. It's not even clear what an economy means at that point, since an economy is output per person times persons. But if output is much higher and there's no limit on persons, then what's the actual limit on the economy? We're still pretty far from Kardashev scales here, but we're getting there. So anyway, it's probably the least understood or appreciated part of what we're doing at Tesla, but will probably be worth significantly more than the car side of things long-term.” Source: Tesla Investor Day, March 2023

Mario Nawfal

40,305 просмотров • 1 год назад

"Many people that are starved of human interaction, they get so attached to the humanoid," says OpenMind CEO Jan Liphardt of the deep bond being formed by humans to robots
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"Many people that are starved of human interaction, they get so attached to the humanoid," says OpenMind CEO Jan Liphardt of the deep bond being formed by humans to robots

Bloomberg TV

55,987 просмотров • 5 месяцев назад

🚨 Apple joins the robotics race! Researchers from Carnegie Mellon University and Apple have developed a robot collision avoidance system. They called it ARMOR and they implemented it on the Fourier GR-1 robot. What is ARMOR? 👘 ARMOR is a system that helps humanoid robots "see" their surroundings better by using small, smart depth sensors placed on their arms. It solves the problem of blind spots and occlusions in traditional robot perception, making robots much safer and more efficient. It uses Time-of-Flight (ToF) sensors to detect obstacles, providing a near-complete view of the robot’s environment. 🔭 A smart software powered by transformer-based AI learns from human movements to help robots plan their actions dynamically. ARMOR reduces collisions by an impressive 63.7%, making robots significantly better at navigating crowded or complex spaces. The system is fast as well! 💨 ARMOR-Policy cuts computational time by 26× compared to traditional planning methods, ensuring robots can act quickly. P.S. Thoughts on this? The research paper is in the comments! ~~~ ♻️ RT to help 1 robot find a new workplace.
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🚨 Apple joins the robotics race! Researchers from Carnegie Mellon University and Apple have developed a robot collision avoidance system. They called it ARMOR and they implemented it on the Fourier GR-1 robot. What is ARMOR? 👘 ARMOR is a system that helps humanoid robots "see" their surroundings better by using small, smart depth sensors placed on their arms. It solves the problem of blind spots and occlusions in traditional robot perception, making robots much safer and more efficient. It uses Time-of-Flight (ToF) sensors to detect obstacles, providing a near-complete view of the robot’s environment. 🔭 A smart software powered by transformer-based AI learns from human movements to help robots plan their actions dynamically. ARMOR reduces collisions by an impressive 63.7%, making robots significantly better at navigating crowded or complex spaces. The system is fast as well! 💨 ARMOR-Policy cuts computational time by 26× compared to traditional planning methods, ensuring robots can act quickly. P.S. Thoughts on this? The research paper is in the comments! ~~~ ♻️ RT to help 1 robot find a new workplace.

Lukas Ziegler

169,366 просмотров • 1 год назад

ELON MUSK: "It's important to appreciate that in most areas, China is very advanced in manufacturing. There's only a few areas where it is not. China is a manufacturing powerhouse. Maybe if you start getting to hundreds of millions of humanoid robots a year, I think you're going to be the most competitive country by far. We definitely can't win with just humans because China has four times our population. So we can't win on the human front. Our birth rate has been low for a long time. The US birth rate's been below replacement since roughly 1971. So we definitely can't win on the human front, but we might have a shot at the robot front."
4:16

ELON MUSK: "It's important to appreciate that in most areas, China is very advanced in manufacturing. There's only a few areas where it is not. China is a manufacturing powerhouse. Maybe if you start getting to hundreds of millions of humanoid robots a year, I think you're going to be the most competitive country by far. We definitely can't win with just humans because China has four times our population. So we can't win on the human front. Our birth rate has been low for a long time. The US birth rate's been below replacement since roughly 1971. So we definitely can't win on the human front, but we might have a shot at the robot front."

DogeDesigner

76,068 просмотров • 4 месяцев назад

VIDEO: 🇨🇳 🤖 Robots compete with humans in world's first humanoid half-marathon Dozens of humanoid robots joined thousands of their flesh-and-blood counterparts on Beijing's streets in a half-marathon showcasing China's drive to lead the race in the cutting-edge technology
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VIDEO: 🇨🇳 🤖 Robots compete with humans in world's first humanoid half-marathon Dozens of humanoid robots joined thousands of their flesh-and-blood counterparts on Beijing's streets in a half-marathon showcasing China's drive to lead the race in the cutting-edge technology

AFP News Agency

12,974 просмотров • 1 год назад