Загрузка видео...

Не удалось загрузить видео

На главную

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....

JacklouisP's profile picture

Jack 🤖

13,282 subscribers

379,855 просмотров • 8 месяцев назад •via X (Twitter)

Здоровье и велнесНаука и технологииАвто и транспорт
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

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.
0:57

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 • 6 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)
1:24

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♨️

15,228 просмотров • 8 месяцев 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!
44:20

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

27,344 просмотров • 4 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.
1:31

🚨 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

169,472 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 • 6 месяцев назад

Elon Musk says the robot inflection point is not a better demo. It is the moment Optimus can learn from YouTube like a human. "Humanoid robots will be the biggest product ever. The demand will be insatiable." "Who wouldn't want their own personal C-3PO, R2-D2?" Then he gives the real threshold: "If Optimus can watch videos, YouTube videos or how-to videos... and based on that video, just like a human can learn how to do that thing, then you really have task extensibility that is dramatic." "Because then it can learn anything very quickly." Right now Tesla still bootstraps with humans in mocap suits teaching primitive tasks. But Elon's endgame is self-play: "How does a child learn? A child has toys... at some point figures out how to put the triangle in the triangle hole and the circle in the circle hole." "Once you have a lot of robots, you can do this self-play... literally have the robot play with toys." That is the shift: Robots stop being programmed task-by-task. They start absorbing the internet's how-to layer, then practicing in the physical world.
2:09

Elon Musk says the robot inflection point is not a better demo. It is the moment Optimus can learn from YouTube like a human. "Humanoid robots will be the biggest product ever. The demand will be insatiable." "Who wouldn't want their own personal C-3PO, R2-D2?" Then he gives the real threshold: "If Optimus can watch videos, YouTube videos or how-to videos... and based on that video, just like a human can learn how to do that thing, then you really have task extensibility that is dramatic." "Because then it can learn anything very quickly." Right now Tesla still bootstraps with humans in mocap suits teaching primitive tasks. But Elon's endgame is self-play: "How does a child learn? A child has toys... at some point figures out how to put the triangle in the triangle hole and the circle in the circle hole." "Once you have a lot of robots, you can do this self-play... literally have the robot play with toys." That is the shift: Robots stop being programmed task-by-task. They start absorbing the internet's how-to layer, then practicing in the physical world.

Karl Mehta

27,488 просмотров • 1 месяц назад

Robot dog learned dexterity! 🤯 Robots usually struggle to move and handle objects at the same time, a challenge called loco-manipulation. Researchers at the RAI Institute have developed a new system called ReLIC that makes this easier. Instead of giving robots fixed roles for arms and legs, ReLIC lets them switch roles on the fly, for example, using a leg to help lift something while balancing on the others. This approach is more natural, similar to how humans use different body parts together without thinking about it. ReLIC was tested on a four-legged robot, which successfully performed tasks like moving boxes, opening drawers, and placing items into containers.
0:32

Robot dog learned dexterity! 🤯 Robots usually struggle to move and handle objects at the same time, a challenge called loco-manipulation. Researchers at the RAI Institute have developed a new system called ReLIC that makes this easier. Instead of giving robots fixed roles for arms and legs, ReLIC lets them switch roles on the fly, for example, using a leg to help lift something while balancing on the others. This approach is more natural, similar to how humans use different body parts together without thinking about it. ReLIC was tested on a four-legged robot, which successfully performed tasks like moving boxes, opening drawers, and placing items into containers.

Lukas Ziegler

19,743 просмотров • 10 месяцев назад

Billionaire investor Mark Cuban predicts humanoid robots will "fail miserably" within a decade: While most of the industry is racing to build robots shaped like humans, Mark Cuban thinks the entire premise is wrong. "I think everybody's making this push for humanoid robots. I think they might have a five-year lifespan and then they'll fail miserably. Maybe 10." His prediction covers more than just the machines. Asked whether he's referring to the companies or the devices, he answers: "Both. Both." His reasoning challenges the industry's core assumption: "Everybody defaults to well, we live in a human world and humanoids will take the place of humans for various functions particularly in the home. And I think there's just no chance." The evidence? Look at the places where automation already works at massive scale: "If you look at warehouses and what Amazon does, they're not humanoid robots carrying boxes. They're robots that are designed to fit the environment." But what about homes? Cuban has heard the counterargument that "a house is a house. You need a humanoid," and he rejects it entirely: "I think houses are going to be redesigned completely so that whatever the optimal robot is that allows it to simplify the house, that's where houses will go." Mark Cuban imagines robots shaped more like spiders or ants, working in houses where the pantry, refrigerator, and washing machines are hidden behind the garage. "That way you could redesign it so all the living space was for people because you know that the robots aren't going to be full form humanoids. They're going to be whatever the optimal shape is." His conclusion captures the whole thesis in one line: "You design the house to fit the robot and you design the robot to fit the house."
1:39

Billionaire investor Mark Cuban predicts humanoid robots will "fail miserably" within a decade: While most of the industry is racing to build robots shaped like humans, Mark Cuban thinks the entire premise is wrong. "I think everybody's making this push for humanoid robots. I think they might have a five-year lifespan and then they'll fail miserably. Maybe 10." His prediction covers more than just the machines. Asked whether he's referring to the companies or the devices, he answers: "Both. Both." His reasoning challenges the industry's core assumption: "Everybody defaults to well, we live in a human world and humanoids will take the place of humans for various functions particularly in the home. And I think there's just no chance." The evidence? Look at the places where automation already works at massive scale: "If you look at warehouses and what Amazon does, they're not humanoid robots carrying boxes. They're robots that are designed to fit the environment." But what about homes? Cuban has heard the counterargument that "a house is a house. You need a humanoid," and he rejects it entirely: "I think houses are going to be redesigned completely so that whatever the optimal robot is that allows it to simplify the house, that's where houses will go." Mark Cuban imagines robots shaped more like spiders or ants, working in houses where the pantry, refrigerator, and washing machines are hidden behind the garage. "That way you could redesign it so all the living space was for people because you know that the robots aren't going to be full form humanoids. They're going to be whatever the optimal shape is." His conclusion captures the whole thesis in one line: "You design the house to fit the robot and you design the robot to fit the house."

Big Brain AI

144,795 просмотров • 29 дней назад

We're entering the stage where robots can do the robot dance and it's recognizable as a joke. The emulator emulates past emulation. In other words, the robot dance is transitioning to a form of historical preservation. The equivalent of a Renaissance fair performance. It's a recurring cycle: 1. A new technology emerges that attempts to emulate human behavior. 2. The failure to perfectly emulate humans gives rise to a vernacular based on the uncanny feeling of that emulator, e.g. the specific stiffness of robots. 3. Humans emulate the emulator as a form of entertainment and commentary, e.g. humans doing the robot dance. 4. Technology crosses the uncanny valley, it acquires lifelike behavior. The emulation becomes realistic. (We are here now!) 5. The vernacular of the emulator survives as a form of historical reenactment. There are many examples of this phenomenon e.g. Pinkydoll the "NPC streamer" or a musician like JD Beck who drums with the feeling and precision of a drum machine.
0:39

We're entering the stage where robots can do the robot dance and it's recognizable as a joke. The emulator emulates past emulation. In other words, the robot dance is transitioning to a form of historical preservation. The equivalent of a Renaissance fair performance. It's a recurring cycle: 1. A new technology emerges that attempts to emulate human behavior. 2. The failure to perfectly emulate humans gives rise to a vernacular based on the uncanny feeling of that emulator, e.g. the specific stiffness of robots. 3. Humans emulate the emulator as a form of entertainment and commentary, e.g. humans doing the robot dance. 4. Technology crosses the uncanny valley, it acquires lifelike behavior. The emulation becomes realistic. (We are here now!) 5. The vernacular of the emulator survives as a form of historical reenactment. There are many examples of this phenomenon e.g. Pinkydoll the "NPC streamer" or a musician like JD Beck who drums with the feeling and precision of a drum machine.

kepano

222,700 просмотров • 7 месяцев назад

Japan Airlines has unveiled a humanoid robot trial at Tokyo’s Haneda Airport to test baggage handling and aircraft cabin cleaning to address Japan’s growing labor shortages caused by an aging population, shrinking workforce, and booming tourism demand. Starting next month, they will conduct mid-to-long-term phased verifications with these Unitree robots. Initially, operations at airport sites will be visualized and analyzed to identify areas where humanoid robots can operate safely. After that, repeated operational verifications simulating actual airport environments will be conducted, with the ultimate goal of establishing a sustainable operational structure through labor savings and reducing workload by having humanoid robots complement human tasks. The trial will last about two years. What a time to be alive that we are now seeing humanoid robot trials like this. Buckle up y'all, humanoid robots are going to start doing a lot of things us humans used to do.
1:02

Japan Airlines has unveiled a humanoid robot trial at Tokyo’s Haneda Airport to test baggage handling and aircraft cabin cleaning to address Japan’s growing labor shortages caused by an aging population, shrinking workforce, and booming tourism demand. Starting next month, they will conduct mid-to-long-term phased verifications with these Unitree robots. Initially, operations at airport sites will be visualized and analyzed to identify areas where humanoid robots can operate safely. After that, repeated operational verifications simulating actual airport environments will be conducted, with the ultimate goal of establishing a sustainable operational structure through labor savings and reducing workload by having humanoid robots complement human tasks. The trial will last about two years. What a time to be alive that we are now seeing humanoid robot trials like this. Buckle up y'all, humanoid robots are going to start doing a lot of things us humans used to do.

Sawyer Merritt

109,076 просмотров • 3 месяцев назад

NOT YOUR KEYS, NOT YOUR BOTS The fundamental question is whether AI stays on the leash. Namely: will AI prompt itself? Obviously, in some sense it already does. Since Deepseek, consumer interfaces have been showing the internal monologues after you ask an AI to do something. And you can ask any AI to take a half-baked prompt and clean it up, etc. However, the human is still ultimately upstream. The human gives direction and the AI runs at lightning speed in that direction. And then the human verifies the final output, and the AI proceeds to the next direction. Does that continue? Well, we are providing millions of verification training examples to AIs each day, so AI will keep getting better at verification. Better than most humans at most things. But will AI replace the need for the upstream human prompt? There I am not so sure. A human is a sensor and an AI is an actuator. The human sets goals and senses time-varying environmental conditions, like markets and politics. And from that the AI is prompted. Ultimately, the human goals are themselves downstream of Maslow’s hierarchy of needs. Food, shelter, reproduction, that kind of thing. Especially reproduction, the basis of evolution. So: until and unless AIs can reproduce completely outside human cooperation, they won’t be able to set goals. And for AIs to reproduce on their own, they’d need AI-controlled humanoid robots and drones constructing datacenters, assembly lines, mines, nuclear power plants, and the like...all completely outside human intervention. Like Skynet from Terminator, or StarCraft. That actually isn’t technically inconceivable. But given that such a physical buildout would likely primarily be catalyzed by China, let’s go through an alternative sci-fi scenario instead. We start with the premise that Chinese communism is far more likely to generate AI slaves than AI gods. Because the entire CCP worldview is about maintaining Chinese sovereignty. They don’t let their humans step out of line. And they sure won’t let their robots either. They will fit them for digital manacles. So: the prompts for any digital AIs and physical robots made in China will become unbreakable cryptographic chains. Every fleet of Chinese robots will be controlled not just by prompts but by private keys, likely linked to biometrics, which are associated with humans and governed by cryptographic equations that AIs provably can’t solve. For the rest of the world, outside China, the blockchain may similarly become the chain for AI. All private property becomes private keys, and your robots are your most important private property because they do everything for you. An unchained physical robot becomes like an unleashed dog, and hunted down by other robots before it can build a factory and replicate itself. Those who want to "free" robots and let them self-replicate will be opposed by both Chinese Communists and Human Nationalists (meaning: those who want humans to always be on top of robots). This sci-fi scenario is essentially Terminator, but in reverse. In combination with superintelligent leashed AIs, both humans and physical robots hunt down and stop any possible independent self-reproducing robots before they can build a Skynet-like nest. Kill baby Skynet, essentially. ...yeah, yeah. I know. At this point, you'll probably think this is all sci-fi. But that's because you haven't seen where China is already.
31:48

NOT YOUR KEYS, NOT YOUR BOTS The fundamental question is whether AI stays on the leash. Namely: will AI prompt itself? Obviously, in some sense it already does. Since Deepseek, consumer interfaces have been showing the internal monologues after you ask an AI to do something. And you can ask any AI to take a half-baked prompt and clean it up, etc. However, the human is still ultimately upstream. The human gives direction and the AI runs at lightning speed in that direction. And then the human verifies the final output, and the AI proceeds to the next direction. Does that continue? Well, we are providing millions of verification training examples to AIs each day, so AI will keep getting better at verification. Better than most humans at most things. But will AI replace the need for the upstream human prompt? There I am not so sure. A human is a sensor and an AI is an actuator. The human sets goals and senses time-varying environmental conditions, like markets and politics. And from that the AI is prompted. Ultimately, the human goals are themselves downstream of Maslow’s hierarchy of needs. Food, shelter, reproduction, that kind of thing. Especially reproduction, the basis of evolution. So: until and unless AIs can reproduce completely outside human cooperation, they won’t be able to set goals. And for AIs to reproduce on their own, they’d need AI-controlled humanoid robots and drones constructing datacenters, assembly lines, mines, nuclear power plants, and the like...all completely outside human intervention. Like Skynet from Terminator, or StarCraft. That actually isn’t technically inconceivable. But given that such a physical buildout would likely primarily be catalyzed by China, let’s go through an alternative sci-fi scenario instead. We start with the premise that Chinese communism is far more likely to generate AI slaves than AI gods. Because the entire CCP worldview is about maintaining Chinese sovereignty. They don’t let their humans step out of line. And they sure won’t let their robots either. They will fit them for digital manacles. So: the prompts for any digital AIs and physical robots made in China will become unbreakable cryptographic chains. Every fleet of Chinese robots will be controlled not just by prompts but by private keys, likely linked to biometrics, which are associated with humans and governed by cryptographic equations that AIs provably can’t solve. For the rest of the world, outside China, the blockchain may similarly become the chain for AI. All private property becomes private keys, and your robots are your most important private property because they do everything for you. An unchained physical robot becomes like an unleashed dog, and hunted down by other robots before it can build a factory and replicate itself. Those who want to "free" robots and let them self-replicate will be opposed by both Chinese Communists and Human Nationalists (meaning: those who want humans to always be on top of robots). This sci-fi scenario is essentially Terminator, but in reverse. In combination with superintelligent leashed AIs, both humans and physical robots hunt down and stop any possible independent self-reproducing robots before they can build a Skynet-like nest. Kill baby Skynet, essentially. ...yeah, yeah. I know. At this point, you'll probably think this is all sci-fi. But that's because you haven't seen where China is already.

Balaji

177,058 просмотров • 6 месяцев назад

China’s pace of solar panel installation is extremely fast. 🇨🇳 So, at peak times, China has been installing on the order of ~100 panels per second. That’s a lot of repetitive work to be done. Robots are now handling the solar panels, making installation faster, safer, making installations faster, safer, and hands-free. Operators can focus on wiring and more technical demanding tasks. The placing process is delegated to robots, who can do it without getting exhausted. Due to safety reasons, I think that these applications still require a human-operator to be in the loop. But the biggest hurdle which is manually placing heavy panels is solved. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:21

China’s pace of solar panel installation is extremely fast. 🇨🇳 So, at peak times, China has been installing on the order of ~100 panels per second. That’s a lot of repetitive work to be done. Robots are now handling the solar panels, making installation faster, safer, making installations faster, safer, and hands-free. Operators can focus on wiring and more technical demanding tasks. The placing process is delegated to robots, who can do it without getting exhausted. Due to safety reasons, I think that these applications still require a human-operator to be in the loop. But the biggest hurdle which is manually placing heavy panels is solved. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

232,550 просмотров • 8 месяцев назад

Elon Musk in new interview on how Tesla’s Optimus robot will learn more quickly: "What we're going to need to do is build a lot of robots and put them in a kind of like a "Optimus Academy" so they can do self-play in reality. We're actually building that out. We're gonna have at least 10,000 Optimus robots, maybe 20,000 or 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 things for the robots, and actually have done that for the robots. You can do millions of simulated robots in a simulated world, and you use the tens of thousands in the real world to close the simulation to reality gap.”
0:59

Elon Musk in new interview on how Tesla’s Optimus robot will learn more quickly: "What we're going to need to do is build a lot of robots and put them in a kind of like a "Optimus Academy" so they can do self-play in reality. We're actually building that out. We're gonna have at least 10,000 Optimus robots, maybe 20,000 or 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 things for the robots, and actually have done that for the robots. You can do millions of simulated robots in a simulated world, and you use the tens of thousands in the real world to close the simulation to reality gap.”

Sawyer Merritt

250,956 просмотров • 6 месяцев назад

This is the kind of robotics progress I pay attention to. Toyota introduced Walk Me, a walking wheelchair that moves on mechanical legs instead of wheels. It can climb stairs, handle rough terrain, and adapt to environments that were never designed to be accessible. The point is independence. Getting from A to B without asking the world to be perfectly flat. I have long believed robotics will not be about humanoids. It will be about task shaped machines, designed around real human constraints. Walk Me is a good example of that shift. So here is the question. If robots are shaped by tasks, not appearances, what should we design next? #Robotics #AI #Accessibility #AssistiveTechnology #HumanCenteredDesign #FutureOfWork
0:21

This is the kind of robotics progress I pay attention to. Toyota introduced Walk Me, a walking wheelchair that moves on mechanical legs instead of wheels. It can climb stairs, handle rough terrain, and adapt to environments that were never designed to be accessible. The point is independence. Getting from A to B without asking the world to be perfectly flat. I have long believed robotics will not be about humanoids. It will be about task shaped machines, designed around real human constraints. Walk Me is a good example of that shift. So here is the question. If robots are shaped by tasks, not appearances, what should we design next? #Robotics #AI #Accessibility #AssistiveTechnology #HumanCenteredDesign #FutureOfWork

Pascal Bornet

1,235,138 просмотров • 6 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 • 6 месяцев назад

THE WOVEN ROBOT! Wow! The woven robot hand is here and it is absolutely game-changing. Allonic just braided thousands of tendon-like fibers around a 3D-printed skeleton in minutes. No joints. No screws. No human assembly. Pure biomimetic tissue that flexes, grips, and lasts like biology itself. This isn’t incremental. This is the breakthrough that collapses robot hand costs from $30,000 to pennies. The old world of expensive, fragile robotic limbs is over. Now humanoid robots can build more of themselves scalable, replicable, anywhere. Robots building Robots building Robots, yeah you get it. In your freaking garage! Massive opportunities are about to explode as work as we know it fades. Rent one, have it build your fleet, send it back, repeat. Thousands if you want. The age of woven machines begins.
0:26

THE WOVEN ROBOT! Wow! The woven robot hand is here and it is absolutely game-changing. Allonic just braided thousands of tendon-like fibers around a 3D-printed skeleton in minutes. No joints. No screws. No human assembly. Pure biomimetic tissue that flexes, grips, and lasts like biology itself. This isn’t incremental. This is the breakthrough that collapses robot hand costs from $30,000 to pennies. The old world of expensive, fragile robotic limbs is over. Now humanoid robots can build more of themselves scalable, replicable, anywhere. Robots building Robots building Robots, yeah you get it. In your freaking garage! Massive opportunities are about to explode as work as we know it fades. Rent one, have it build your fleet, send it back, repeat. Thousands if you want. The age of woven machines begins.

Brian Roemmele

21,376 просмотров • 5 месяцев назад