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We've seen humanoid robots doing kung fu, backflips and going viral. But this might be a much bigger milestone A humanoid robot just completed almost 2 HOURS of real factory work. No cuts. No hiding the mistakes. And the company says it's already running 4–6 hour shifts. It's not... show more

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49,379 次观看 • 2 天前 •via X (Twitter)

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What will the world look like when AI becomes part of everything? 🤯 Smart cities. AI assistants. Humanoid robots. Self-driving vehicles. AI-powered homes. This 10-second video gives a glimpse of what the future could look like. 🤖🌎 And honestly… we might be closer than we think. 👀

What will the world look like when AI becomes part of everything? 🤯 Smart cities. AI assistants. Humanoid robots. Self-driving vehicles. AI-powered homes. This 10-second video gives a glimpse of what the future could look like. 🤖🌎 And honestly… we might be closer than we think. 👀

Sajid AI

199,177 次观看 • 1 个月前

In the future, it might just be humanoid robots doing the refueling!🤖⛽️ Sinopec plans to introduce humanoid robot workers across its gas stations. They will handle tasks like fueling, picking up items, restocking, and inspections,working alongside human staff, especially during peak holiday periods in China to ease service pressure. With more than 30,000 gas stations across the country (most of them equipped with convenience stores), this implies a deployment of at least 30,000 humanoid robots. The robot is a wheeled humanoid developed by Beijing-based company FIVEAGES.

In the future, it might just be humanoid robots doing the refueling!🤖⛽️ Sinopec plans to introduce humanoid robot workers across its gas stations. They will handle tasks like fueling, picking up items, restocking, and inspections,working alongside human staff, especially during peak holiday periods in China to ease service pressure. With more than 30,000 gas stations across the country (most of them equipped with convenience stores), this implies a deployment of at least 30,000 humanoid robots. The robot is a wheeled humanoid developed by Beijing-based company FIVEAGES.

CyberRobo

23,536 次观看 • 5 个月前

HUMANOID ROBOTS ARE STARTING TO WALK AMONG US At first, this looks like a completely normal street video. A woman is walking down the sidewalk on a sunny day, with people, stores and traffic around her. Then you notice who’s walking beside her. A humanoid robot. There’s no robotics conference, no laboratory and no team of engineers around it. The robot is simply walking through the city next to her as if this is already part of everyday life. Until recently, humanoid robots were mostly something we saw in controlled demonstrations, factories and tech presentations. Now they’re beginning to appear in ordinary public spaces, walking alongside people without looking completely out of place. The biggest shift isn’t just how advanced these machines are becoming. It’s how quickly they’re starting to blend into the real world. At this pace, seeing a humanoid robot walking next to you in public might soon stop feeling unusual at all

HUMANOID ROBOTS ARE STARTING TO WALK AMONG US At first, this looks like a completely normal street video. A woman is walking down the sidewalk on a sunny day, with people, stores and traffic around her. Then you notice who’s walking beside her. A humanoid robot. There’s no robotics conference, no laboratory and no team of engineers around it. The robot is simply walking through the city next to her as if this is already part of everyday life. Until recently, humanoid robots were mostly something we saw in controlled demonstrations, factories and tech presentations. Now they’re beginning to appear in ordinary public spaces, walking alongside people without looking completely out of place. The biggest shift isn’t just how advanced these machines are becoming. It’s how quickly they’re starting to blend into the real world. At this pace, seeing a humanoid robot walking next to you in public might soon stop feeling unusual at all

Inspector

73,410 次观看 • 1 个月前

THIS GENERATION MAY BE THE FIRST TO GROW UP THINKING HUMANOID ROBOTS ARE NORMAL. And that's a much bigger deal than it sounds. Look at the adults. Phones out. Cameras recording. Everyone watching the machine because it's unusual. Now look at the kid. He just interacts with it. That's the transition. Adults today compare humanoids to science fiction. Children growing up with them may compare them to: smartphones, tablets, smart speakers, or any other technology that's simply always been there. And markets change completely when technology stops feeling like technology. The smartphone didn't become enormous because people remained fascinated by touchscreens. It became enormous when nobody thought twice about using one. Humanoid robots could eventually cross the same line. One generation asks: “Why would I want a robot in my house?” The next might ask: “Why wouldn't you have one?” The biggest shift in robotics might not happen inside the machine. It might happen inside the people growing up around them.

THIS GENERATION MAY BE THE FIRST TO GROW UP THINKING HUMANOID ROBOTS ARE NORMAL. And that's a much bigger deal than it sounds. Look at the adults. Phones out. Cameras recording. Everyone watching the machine because it's unusual. Now look at the kid. He just interacts with it. That's the transition. Adults today compare humanoids to science fiction. Children growing up with them may compare them to: smartphones, tablets, smart speakers, or any other technology that's simply always been there. And markets change completely when technology stops feeling like technology. The smartphone didn't become enormous because people remained fascinated by touchscreens. It became enormous when nobody thought twice about using one. Humanoid robots could eventually cross the same line. One generation asks: “Why would I want a robot in my house?” The next might ask: “Why wouldn't you have one?” The biggest shift in robotics might not happen inside the machine. It might happen inside the people growing up around them.

Mag1strY0da

132,747 次观看 • 27 天前

THE $20,000 HUMANOID COULD CREATE AN ENTIRE ECONOMY INSIDE SHOPPING MALLS. At first, this looks almost ridiculous. A humanoid. Walking through a mall. Carrying shopping bags. But think about what this machine could actually become. Not a robot shopper. A physical service platform. Imagine opening the mall’s app. You’ve bought too much to carry? Request a robot. Need everything taken to your car? Request a robot. An elderly customer needs assistance? Request a robot. A store needs merchandise moved? Same robot. A restaurant needs supplies carried across the building? Same robot. And suddenly one humanoid isn’t performing one job. It’s selling physical assistance to hundreds of people and businesses in the same location. That’s where the economics become interesting. A $20,000–$30,000 robot sitting inside someone’s home might only work a few hours per day. Put that same machine inside a busy commercial environment… and utilization could look completely different. Morning deliveries. Customer assistance during the day. Shopping bags in the afternoon. Store logistics after closing. Cleaning and inventory work overnight. One machine. Multiple customers. Multiple revenue streams. That’s a much more powerful business model than simply selling robots. Because the operator doesn’t necessarily need to make money from one customer. The machine can monetize its time repeatedly. $5 to carry someone’s shopping. $10 to take items to a car. $20 for an hour of assistance. A monthly contract with stores. Another contract for overnight logistics. The exact prices would depend on operating costs and demand. But the important part is this: every unused hour becomes inventory that can potentially be sold. We’ve already built digital marketplaces around unused capacity. Uber monetized empty car seats and driver availability. Airbnb monetized unused rooms. Cloud computing monetized server capacity. Humanoids could eventually create a marketplace for something else. Unused physical labor. And shopping malls could be an ideal place to start. Thousands of customers. Hundreds of businesses. Constant movement of physical objects. All inside one controlled environment. The robot doesn’t need one $50,000 job. It needs thousands of small ones. The humanoid economy might not begin with everyone owning a robot. It might begin with everyone being able to summon one.

THE $20,000 HUMANOID COULD CREATE AN ENTIRE ECONOMY INSIDE SHOPPING MALLS. At first, this looks almost ridiculous. A humanoid. Walking through a mall. Carrying shopping bags. But think about what this machine could actually become. Not a robot shopper. A physical service platform. Imagine opening the mall’s app. You’ve bought too much to carry? Request a robot. Need everything taken to your car? Request a robot. An elderly customer needs assistance? Request a robot. A store needs merchandise moved? Same robot. A restaurant needs supplies carried across the building? Same robot. And suddenly one humanoid isn’t performing one job. It’s selling physical assistance to hundreds of people and businesses in the same location. That’s where the economics become interesting. A $20,000–$30,000 robot sitting inside someone’s home might only work a few hours per day. Put that same machine inside a busy commercial environment… and utilization could look completely different. Morning deliveries. Customer assistance during the day. Shopping bags in the afternoon. Store logistics after closing. Cleaning and inventory work overnight. One machine. Multiple customers. Multiple revenue streams. That’s a much more powerful business model than simply selling robots. Because the operator doesn’t necessarily need to make money from one customer. The machine can monetize its time repeatedly. $5 to carry someone’s shopping. $10 to take items to a car. $20 for an hour of assistance. A monthly contract with stores. Another contract for overnight logistics. The exact prices would depend on operating costs and demand. But the important part is this: every unused hour becomes inventory that can potentially be sold. We’ve already built digital marketplaces around unused capacity. Uber monetized empty car seats and driver availability. Airbnb monetized unused rooms. Cloud computing monetized server capacity. Humanoids could eventually create a marketplace for something else. Unused physical labor. And shopping malls could be an ideal place to start. Thousands of customers. Hundreds of businesses. Constant movement of physical objects. All inside one controlled environment. The robot doesn’t need one $50,000 job. It needs thousands of small ones. The humanoid economy might not begin with everyone owning a robot. It might begin with everyone being able to summon one.

Mag1strY0da

25,785 次观看 • 11 天前

A HUMANOID ROBOT JUST FOUND ONE OF THE MOST EXPENSIVE AISLES IN THE WORLD. An airplane cabin. Think about why this environment is so interesting. Narrow aisle. Human-sized equipment. Repetitive service. Hundreds of passengers. Thousands of flights every day. And almost everything inside the cabin was already designed around the dimensions of a human worker. That's exactly why the humanoid form matters. You don't redesign the aircraft. You build a machine capable of operating inside what already exists. But the bigger opportunity isn't necessarily replacing the crew. Imagine robots eventually handling repetitive cabin tasks while humans remain responsible for safety, judgment and passenger care. Drinks. Trash collection. Moving supplies. Routine cabin checks. Every small task removed is another minute of human labor redirected somewhere more valuable. That's how humanoid automation may actually arrive. Not: “This robot replaced five people.” But: “This robot removed 30% of the repetitive work from their shift.” Multiply that across an entire industry... and suddenly the boring little drink cart becomes a very interesting business case.

A HUMANOID ROBOT JUST FOUND ONE OF THE MOST EXPENSIVE AISLES IN THE WORLD. An airplane cabin. Think about why this environment is so interesting. Narrow aisle. Human-sized equipment. Repetitive service. Hundreds of passengers. Thousands of flights every day. And almost everything inside the cabin was already designed around the dimensions of a human worker. That's exactly why the humanoid form matters. You don't redesign the aircraft. You build a machine capable of operating inside what already exists. But the bigger opportunity isn't necessarily replacing the crew. Imagine robots eventually handling repetitive cabin tasks while humans remain responsible for safety, judgment and passenger care. Drinks. Trash collection. Moving supplies. Routine cabin checks. Every small task removed is another minute of human labor redirected somewhere more valuable. That's how humanoid automation may actually arrive. Not: “This robot replaced five people.” But: “This robot removed 30% of the repetitive work from their shift.” Multiply that across an entire industry... and suddenly the boring little drink cart becomes a very interesting business case.

Mag1strY0da

16,301 次观看 • 23 天前

Figure 03 just finished an 8-hour work livestream, imperfect, but already good enough to replace a lot of repetitive warehouse labor. 🤖 Brett Adcock put a team of F.03 robots on a factory-style package sorting task for a full shift. The job was simple and brutal: detect the barcode, pick the package, flip it label-side down, place it on the conveyor, repeat. Soft poly bags, rigid boxes, moving belts, messy orientations. That is exactly the kind of boring physical work factories pay humans to do all day. Early in the stream, the system handled 230 packages in 10 minutes. That is roughly 2.6 seconds per item — already in human-speed territory for this narrow workflow. The more important part: it was not one robot pretending to work all day. It was a team of Figure 03 robots keeping the line running. When one robot ran low on battery, it left the station and another robot stepped in. That is the real factory signal: not just autonomy, but shift continuity. F.03 is rated for about 5 hours of runtime, so the 8-hour result depends on fleet orchestration, charging, and handoff. That matters more than a single clean demo. The stream was not perfect. There were pauses, hesitations, missed orientations, and small recovery moments. Good. A perfect short clip hides failure. An 8-hour livestream exposes the parts that actually matter: endurance, recovery, throughput, and whether the robot can stay useful after the novelty wears off. Figure says this was fully autonomous on Helix-02, with zero human intervention. For logistics and manufacturing, that is the threshold worth watching. Not “can it do one impressive task?” Can it keep doing the boring task for an entire shift? Figure is not showing a general human replacement yet. But for structured, repetitive factory work, the gap just got much smaller. The timing is also interesting: Figure says BotQ has already delivered 350+ F.03 units and reached a 1 robot/hour production cadence. And F.04 is now in full design lock, with parts starting to ship. The next test is obvious. 8 hours was the proof of endurance. 24/7 is the proof of labor economics.

Figure 03 just finished an 8-hour work livestream, imperfect, but already good enough to replace a lot of repetitive warehouse labor. 🤖 Brett Adcock put a team of F.03 robots on a factory-style package sorting task for a full shift. The job was simple and brutal: detect the barcode, pick the package, flip it label-side down, place it on the conveyor, repeat. Soft poly bags, rigid boxes, moving belts, messy orientations. That is exactly the kind of boring physical work factories pay humans to do all day. Early in the stream, the system handled 230 packages in 10 minutes. That is roughly 2.6 seconds per item — already in human-speed territory for this narrow workflow. The more important part: it was not one robot pretending to work all day. It was a team of Figure 03 robots keeping the line running. When one robot ran low on battery, it left the station and another robot stepped in. That is the real factory signal: not just autonomy, but shift continuity. F.03 is rated for about 5 hours of runtime, so the 8-hour result depends on fleet orchestration, charging, and handoff. That matters more than a single clean demo. The stream was not perfect. There were pauses, hesitations, missed orientations, and small recovery moments. Good. A perfect short clip hides failure. An 8-hour livestream exposes the parts that actually matter: endurance, recovery, throughput, and whether the robot can stay useful after the novelty wears off. Figure says this was fully autonomous on Helix-02, with zero human intervention. For logistics and manufacturing, that is the threshold worth watching. Not “can it do one impressive task?” Can it keep doing the boring task for an entire shift? Figure is not showing a general human replacement yet. But for structured, repetitive factory work, the gap just got much smaller. The timing is also interesting: Figure says BotQ has already delivered 350+ F.03 units and reached a 1 robot/hour production cadence. And F.04 is now in full design lock, with parts starting to ship. The next test is obvious. 8 hours was the proof of endurance. 24/7 is the proof of labor economics.

RoboHub🤖

16,818 次观看 • 5 个月前

$40 hours of human work. That’s what this humanoid could save every month! A construction company is already testing a Unitree G1 on a real job site, using the robot for site inspections, 360° imaging, data collection and progress monitoring. The robot starts at around $13,500, while the company says its deployment can save roughly 40 hours of work every month. That adds up to around 480 hours a year from a machine that costs a fraction of traditional industrial equipment. The interesting part is that this isn't about replacing an entire construction worker. It's about removing hundreds of repetitive hours from the workflow, including walking inspection routes, documenting progress and collecting information across the site. Humans can then spend their time on decisions and tasks that actually require them. This is where humanoid robots become economically interesting. Construction sites are already designed around human movement, so a robot with two arms, two legs and a human-sized body can potentially work in the same spaces without rebuilding the entire environment. Every additional task it learns turns those same hardware costs into more productive hours. And the economics get even more interesting as prices fall and production scales. A robot that saves 480 hours per year doesn't need to be perfect or replace a full-time employee to justify its existence. It just needs to reliably take over the boring, repetitive work that companies are already paying humans to do. 480 hours saved. Thousands of dollars in hardware. One construction site. This is how humanoids will enter the workforce, not by replacing everyone overnight, but by quietly taking over the hours nobody wants to spend.$

40 hours of human work. That’s what this humanoid could save every month! A construction company is already testing a Unitree G1 on a real job site, using the robot for site inspections, 360° imaging, data collection and progress monitoring. The robot starts at around $13,500, while the company says its deployment can save roughly 40 hours of work every month. That adds up to around 480 hours a year from a machine that costs a fraction of traditional industrial equipment. The interesting part is that this isn't about replacing an entire construction worker. It's about removing hundreds of repetitive hours from the workflow, including walking inspection routes, documenting progress and collecting information across the site. Humans can then spend their time on decisions and tasks that actually require them. This is where humanoid robots become economically interesting. Construction sites are already designed around human movement, so a robot with two arms, two legs and a human-sized body can potentially work in the same spaces without rebuilding the entire environment. Every additional task it learns turns those same hardware costs into more productive hours. And the economics get even more interesting as prices fall and production scales. A robot that saves 480 hours per year doesn't need to be perfect or replace a full-time employee to justify its existence. It just needs to reliably take over the boring, repetitive work that companies are already paying humans to do. 480 hours saved. Thousands of dollars in hardware. One construction site. This is how humanoids will enter the workforce, not by replacing everyone overnight, but by quietly taking over the hours nobody wants to spend.

Future Memo

18,925 次观看 • 29 天前

A HUMANOID ROBOT IS ON THE RUN. THE POLICE CANNOT CATCH IT. The highway is blocked. Police cruisers and an ambulance are following behind. Ahead of them, a humanoid medical robot keeps running without slowing down or getting tired. A few years ago, this would have looked like a scene from a sci-fi movie. Today, it looks like an ordinary live news broadcast. This is 100% AI-generated. But what if this chase were real? How would you react to a robot the police could not catch?

A HUMANOID ROBOT IS ON THE RUN. THE POLICE CANNOT CATCH IT. The highway is blocked. Police cruisers and an ambulance are following behind. Ahead of them, a humanoid medical robot keeps running without slowing down or getting tired. A few years ago, this would have looked like a scene from a sci-fi movie. Today, it looks like an ordinary live news broadcast. This is 100% AI-generated. But what if this chase were real? How would you react to a robot the police could not catch?

CHQ

22,376 次观看 • 28 天前

The next manipulation tool may not live on your screen. It may stand in front of you look into your eyes and convince you that it understands. Would you rather face a humanoid robot strong enough to hurt you or one designed well enough to make you trust it? This robot copies blinking, eye contact, head movement and facial expressions to create the illusion of human presence. That may look impressive but it also opens a darker question. When a machine can look concerned appear friendly and imitate emotion people may start trusting signals that contain no real feeling no empathy and no moral responsibility. So which is more dangerous a robot with physical power or a robot that can manufacture trust? #HumanoidRobot #Robotics #AI

The next manipulation tool may not live on your screen. It may stand in front of you look into your eyes and convince you that it understands. Would you rather face a humanoid robot strong enough to hurt you or one designed well enough to make you trust it? This robot copies blinking, eye contact, head movement and facial expressions to create the illusion of human presence. That may look impressive but it also opens a darker question. When a machine can look concerned appear friendly and imitate emotion people may start trusting signals that contain no real feeling no empathy and no moral responsibility. So which is more dangerous a robot with physical power or a robot that can manufacture trust? #HumanoidRobot #Robotics #AI

Techniahqrobot | humanoid robots

11,650 次观看 • 2 个月前

🇩🇪 OPTIMUS IS OUT HERE SERVING POPCORN AT A BERLIN CHRISTMAS MARKET The future showed up and it's handing out snacks. Tesla's humanoid robot working the holiday crowd, giving visitors popcorn like it's the most normal thing in the world. Kids are probably losing their minds. Adults are probably pretending they're not equally amazed. Elon said Optimus would be the future of the company. Most people imagined factory floors and warehouse work. Nobody had "charming Christmas market employee" on their bingo card. This is how you introduce robots to the world. Not with fear and dystopian warnings. With popcorn and holiday vibes. One day these things will be everywhere. But right now, one of them is working a Christmas market in Germany and honestly that's kind of beautiful. Source: Elon Musk / EFIEBER / TeslaNerd DE

🇩🇪 OPTIMUS IS OUT HERE SERVING POPCORN AT A BERLIN CHRISTMAS MARKET The future showed up and it's handing out snacks. Tesla's humanoid robot working the holiday crowd, giving visitors popcorn like it's the most normal thing in the world. Kids are probably losing their minds. Adults are probably pretending they're not equally amazed. Elon said Optimus would be the future of the company. Most people imagined factory floors and warehouse work. Nobody had "charming Christmas market employee" on their bingo card. This is how you introduce robots to the world. Not with fear and dystopian warnings. With popcorn and holiday vibes. One day these things will be everywhere. But right now, one of them is working a Christmas market in Germany and honestly that's kind of beautiful. Source: Elon Musk / EFIEBER / TeslaNerd DE

Mario Nawfal

55,638 次观看 • 9 个月前

It's 2030 and you are reviewing humanoid robots. A Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?

It's 2030 and you are reviewing humanoid robots. A Tesla. A Google. An Apple. An OpenAI. A Meta. A Figure. And a bunch of Chinese-made ones. Which one is best, and why? I think the Tesla understands the world much better. Why? There were eight Teslas around me on the freeway today. Start there. No other robot company has that data. But my robot is parked at the local high school twice a day. Its cameras see humans in all of our weirdness. How we move. Where we go. Where we walk. Who we talk with. What you are wearing. Whether your hair was combed this morning. That data will lead to robotics breakthroughs. Apple might keep up with its Vision Pro data, but it is too freaked out by the privacy implications of using said data. (On the front are six cameras and a couple of TOF -- Time Of Flight -- sensors that can see everything in your home in great detail). Google has a lot of data, for sure. All my: 1. Email. 2. Calendars. 3. Photos. 4. TV watching behavior. 5. Contacts. 6. Documents and spreadsheets. 7. Files. 8. Location data. So I expect Google's robot will be attractive to many. But how do you see the others shake out over the next five years? Make some guesses. But remember what an AI pioneer told me years ago about AI: it's all about the data. The Chinese ones have huge advantages: the Chinese have more data on their citizens, and many more citizens to boot AND they can make robots cheaper than we can. But now that you know OpenAI is building its own robot you have caught wind of what I've heard from many in San Francisco and Silicon Valley: that humanoid robots are the real prize of AI and will be highly profitable for those that can make them and find customers willing to buy them. Here, too, I learned long ago never to bet against Elon Musk. Will you?

Robert Scoble

33,804 次观看 • 1 年前

$BOOM! Humanoid Robots Just Performed Surgery for the First Time! REAL VIDEO! In a groundbreaking preclinical breakthrough, researchers at UC San Diego have achieved what many thought was years away: teleoperated humanoid robots successfully completing live surgeries. Published in Nature, the study marks the world’s first use of humanoid robots for in-vivo laparoscopic procedures on large animals (pigs). Two separate surgeries were completed: Key Details •. Procedure: Laparoscopic gallbladder removal (cholecystectomy) •. Team 1: Human surgeon + one humanoid robot (the robot performed core tasks while the human assisted) •. Team 2: Two humanoid robots working together with no human at the operating table •. Robots: Custom “Surgie” humanoids (~5 ft tall, ~60 lbs) using standard surgical tools •. Control: Fully teleoperated by surgeons (remote human control, not autonomous) •. Significance: First demonstration of humanoid robots handling real surgical workflows in a live setting, proving compatibility with existing OR tools and spaces This proof shows humanoid robots could one day help address surgeon shortages, enable remote procedures in rural areas, battlefields, or even space all at a fraction of the cost and space of traditional surgical robots like da Vinci. Read the full publication here: Project page with video: The future of surgery just got a whole lot more interesting. And medical cost for the first time in decades will be scheduled to go down, much further down.$

BOOM! Humanoid Robots Just Performed Surgery for the First Time! REAL VIDEO! In a groundbreaking preclinical breakthrough, researchers at UC San Diego have achieved what many thought was years away: teleoperated humanoid robots successfully completing live surgeries. Published in Nature, the study marks the world’s first use of humanoid robots for in-vivo laparoscopic procedures on large animals (pigs). Two separate surgeries were completed: Key Details •. Procedure: Laparoscopic gallbladder removal (cholecystectomy) •. Team 1: Human surgeon + one humanoid robot (the robot performed core tasks while the human assisted) •. Team 2: Two humanoid robots working together with no human at the operating table •. Robots: Custom “Surgie” humanoids (~5 ft tall, ~60 lbs) using standard surgical tools •. Control: Fully teleoperated by surgeons (remote human control, not autonomous) •. Significance: First demonstration of humanoid robots handling real surgical workflows in a live setting, proving compatibility with existing OR tools and spaces This proof shows humanoid robots could one day help address surgeon shortages, enable remote procedures in rural areas, battlefields, or even space all at a fraction of the cost and space of traditional surgical robots like da Vinci. Read the full publication here: Project page with video: The future of surgery just got a whole lot more interesting. And medical cost for the first time in decades will be scheduled to go down, much further down.

Brian Roemmele

107,977 次观看 • 3 个月前

⚠️THIS IS WHAT PEOPLE ACTUALLY MEAN WHEN THEY JOKE ABOUT WANTING A ROBOT HUSBAND. He's doing the dishes. Then he's vacuuming the living room. No sighing about it, no "I'll do it later," no arguing about whose turn it is. Just cute, strong, and quietly getting through the list without being asked twice. That's the actual pitch behind this whole genre of clip. Not the metal arms, not the robot parts. The fantasy is a partner who's genuinely good looking, physically capable of anything around the house, and does the work without turning it into a negotiation. The honest catch: obviously none of this is real. This is AI generated concept content, not a real robot and not a real person. Nobody's building a chore-doing, conflict-free, perfect partner anytime soon. But the fantasy still says something true, a lot of relationship frustration isn't really about looks or strength, it's the arguing, the reminding, the doing it yourself anyway. This clip skips straight past all of that. The robot husband joke works because it's not really about robots. It's about how low the actual bar is. Would you take the "does chores without complaint" part even without the robot body attached, or is the whole fantasy the package deal?

⚠️THIS IS WHAT PEOPLE ACTUALLY MEAN WHEN THEY JOKE ABOUT WANTING A ROBOT HUSBAND. He's doing the dishes. Then he's vacuuming the living room. No sighing about it, no "I'll do it later," no arguing about whose turn it is. Just cute, strong, and quietly getting through the list without being asked twice. That's the actual pitch behind this whole genre of clip. Not the metal arms, not the robot parts. The fantasy is a partner who's genuinely good looking, physically capable of anything around the house, and does the work without turning it into a negotiation. The honest catch: obviously none of this is real. This is AI generated concept content, not a real robot and not a real person. Nobody's building a chore-doing, conflict-free, perfect partner anytime soon. But the fantasy still says something true, a lot of relationship frustration isn't really about looks or strength, it's the arguing, the reminding, the doing it yourself anyway. This clip skips straight past all of that. The robot husband joke works because it's not really about robots. It's about how low the actual bar is. Would you take the "does chores without complaint" part even without the robot body attached, or is the whole fantasy the package deal?

V0LYX

81,329 次观看 • 1 个月前

Robots don’t just need better brains. They need WAY more real-world data. 🤖 And collecting high-quality dexterous robot data at scale is one of the hardest problems in physical AI. A fascinating approach is emerging: Wearable human demonstrations + structurally matched dexterous robots. Instead of humans directly teleoperating a robot, Chinese embodied AI startup X Square Robot's TwinDEX system captures the motion, contact, and visual information needed to train the robot — while keeping the data closer to the hardware that will actually execute the task. Early results show promising performance on tool use, fine manipulation, and complex contact-rich tasks. If this approach scales, it could change how we build real-world robotics datasets. The next frontier of physical AI might not be bigger models. It might be better data.

Robots don’t just need better brains. They need WAY more real-world data. 🤖 And collecting high-quality dexterous robot data at scale is one of the hardest problems in physical AI. A fascinating approach is emerging: Wearable human demonstrations + structurally matched dexterous robots. Instead of humans directly teleoperating a robot, Chinese embodied AI startup X Square Robot's TwinDEX system captures the motion, contact, and visual information needed to train the robot — while keeping the data closer to the hardware that will actually execute the task. Early results show promising performance on tool use, fine manipulation, and complex contact-rich tasks. If this approach scales, it could change how we build real-world robotics datasets. The next frontier of physical AI might not be bigger models. It might be better data.

The Daily Ai

33,341 次观看 • 1 个月前

JACK JUST ORDERED 2,000 HUMANOID ROBOTS. SOFT FABRIC WAS SUPPOSED TO BE THE ONE THING ROBOTS COULDN’T HANDLE.🤖👕 Sewing has always been the automation-proof job. Cloth wrinkles, shifts, deforms — machines are built for rigid parts, not soft ones. Now watch the clip. Alignment deviations for cut pieces like collars and pockets have to stay within ±2mm. Cutting and sewing motions demand 0.3-0.5mm precision — tighter tolerances than most metal assembly work. Robots on this line are already hitting 98% fabric-separation accuracy, running 3-second operations, and reaching 80% of human efficiency. They’re not alone at the machines. Real workers sit right beside them, running the same Juki and Jack stations, same shift. A Jack executive was upfront: the robots can currently perform individual sewing operations, not run a complete production line independently. This is task automation, not a fully autonomous tailor. But it’s real, and it’s running on an active factory floor. Jack Technology has now ordered 2,000 of these units for apparel manufacturing — aiming to lift manufacturing efficiency by at least 30% across the line. Ten years ago, “robot-proof job” was the whole pitch for garment work. That pitch just expired. Would a 2,000-robot rollout change where your clothes get made?

JACK JUST ORDERED 2,000 HUMANOID ROBOTS. SOFT FABRIC WAS SUPPOSED TO BE THE ONE THING ROBOTS COULDN’T HANDLE.🤖👕 Sewing has always been the automation-proof job. Cloth wrinkles, shifts, deforms — machines are built for rigid parts, not soft ones. Now watch the clip. Alignment deviations for cut pieces like collars and pockets have to stay within ±2mm. Cutting and sewing motions demand 0.3-0.5mm precision — tighter tolerances than most metal assembly work. Robots on this line are already hitting 98% fabric-separation accuracy, running 3-second operations, and reaching 80% of human efficiency. They’re not alone at the machines. Real workers sit right beside them, running the same Juki and Jack stations, same shift. A Jack executive was upfront: the robots can currently perform individual sewing operations, not run a complete production line independently. This is task automation, not a fully autonomous tailor. But it’s real, and it’s running on an active factory floor. Jack Technology has now ordered 2,000 of these units for apparel manufacturing — aiming to lift manufacturing efficiency by at least 30% across the line. Ten years ago, “robot-proof job” was the whole pitch for garment work. That pitch just expired. Would a 2,000-robot rollout change where your clothes get made?

DN_DEGEN

28,317 次观看 • 2 个月前

might be just me but the melody at 2:00 sounds pretty familiar, so I decided to try and transpose it (not faithful, wrong rhythm, and it's a repeat of only the first bar, I just like this melody lole)

might be just me but the melody at 2:00 sounds pretty familiar, so I decided to try and transpose it (not faithful, wrong rhythm, and it's a repeat of only the first bar, I just like this melody lole)

Val

21,115 次观看 • 10 个月前

Imagine you go to a store and you want to buy candy. The shopkeeper knows you're a real kid because they can see you standing right there. Now imagine you send a robot to buy candy for you. The shopkeeper looks at the robot and thinks: wait, who sent this? Is this robot allowed to buy candy? What if someone else's robot pretends to be yours and steals your candy money? That's basically what's happening with AI right now. Companies like Visa let people buy things all over the world. But now, smart computer robots (AI agents) want to buy things too. Shop around, compare prices, even pay for stuff. Visa looked at this and said: nope, not yet. Because they have no way to check if the robot is real, who it belongs to, or if it's allowed to spend that money. The problem is that all the rules we have for checking identity - showing your ID, scanning your face, typing your password - only work for humans. Robots can't do any of that. Worse, bad robots can actually copy and fake human identities really well. So Evin McMullen evin, Billions Network co-founder and CEO, says we need a new kind of ID system. One where you can prove something is true without showing all your private stuff. Like proving you're tall enough for a ride without telling anyone your exact height. That's called zero-knowledge proof. And for the robots specifically, we need something called KYA - Know Your Agent. It's like giving every robot its own ID card that says: this is who I am, this is what I'm allowed to do, and this is the human responsible for me. Until we build that, the robot economy can't really get going. Here is Evin’s Thought Leader article at Silicon Valleys Journal

Imagine you go to a store and you want to buy candy. The shopkeeper knows you're a real kid because they can see you standing right there. Now imagine you send a robot to buy candy for you. The shopkeeper looks at the robot and thinks: wait, who sent this? Is this robot allowed to buy candy? What if someone else's robot pretends to be yours and steals your candy money? That's basically what's happening with AI right now. Companies like Visa let people buy things all over the world. But now, smart computer robots (AI agents) want to buy things too. Shop around, compare prices, even pay for stuff. Visa looked at this and said: nope, not yet. Because they have no way to check if the robot is real, who it belongs to, or if it's allowed to spend that money. The problem is that all the rules we have for checking identity - showing your ID, scanning your face, typing your password - only work for humans. Robots can't do any of that. Worse, bad robots can actually copy and fake human identities really well. So Evin McMullen evin, Billions Network co-founder and CEO, says we need a new kind of ID system. One where you can prove something is true without showing all your private stuff. Like proving you're tall enough for a ride without telling anyone your exact height. That's called zero-knowledge proof. And for the robots specifically, we need something called KYA - Know Your Agent. It's like giving every robot its own ID card that says: this is who I am, this is what I'm allowed to do, and this is the human responsible for me. Until we build that, the robot economy can't really get going. Here is Evin’s Thought Leader article at Silicon Valleys Journal

Billions Network

21,775 次观看 • 8 个月前

THE FIRST GENERATION TO GROW UP WITH HUMANOID ROBOTS IS ALREADY HERE. And that could matter more than any robot demo. Look at this scene. A humanoid standing outside a school. Children walking around it. Watching it. Interacting with it. For adults, a machine like this still looks futuristic. For a child growing up around them? It could eventually look completely normal. Think about how quickly that changes a market. A generation ago, having a computer inside your home was unusual. Then children grew up with computers. The same happened with smartphones. Then tablets. Then AI. Technology stops feeling revolutionary when an entire generation has never known a world without it. Humanoids could be next. Imagine children growing up seeing robots in schools. Stores. Airports. Hospitals. Hotels. Homes. They won’t ask whether humans should interact with robots. They’ll already be doing it. And that matters economically. Because one of the biggest barriers to consumer robotics isn’t just price. It’s trust. People need to feel comfortable allowing an autonomous machine into their personal space. Inside their homes. Around their families. Around their children. That kind of acceptance can take years. Sometimes generations. But children who grow up around humanoids won’t need the same adjustment. To them, asking a robot to carry something might feel as normal as asking Alexa a question feels today. And once that happens, the addressable market changes dramatically. A robot isn’t just industrial equipment anymore. It becomes a household product. A service platform. An assistant. Potentially even something families upgrade every few years. First robot at school. First robot at the mall. First robot at work. Eventually… first robot at home. The companies building humanoids today aren’t only competing for today’s customers. They may be competing to become familiar to an entire generation of future customers. Because the biggest sign that humanoid robots have won won’t be people staring at them. It’ll be children walking past one without thinking twice.

THE FIRST GENERATION TO GROW UP WITH HUMANOID ROBOTS IS ALREADY HERE. And that could matter more than any robot demo. Look at this scene. A humanoid standing outside a school. Children walking around it. Watching it. Interacting with it. For adults, a machine like this still looks futuristic. For a child growing up around them? It could eventually look completely normal. Think about how quickly that changes a market. A generation ago, having a computer inside your home was unusual. Then children grew up with computers. The same happened with smartphones. Then tablets. Then AI. Technology stops feeling revolutionary when an entire generation has never known a world without it. Humanoids could be next. Imagine children growing up seeing robots in schools. Stores. Airports. Hospitals. Hotels. Homes. They won’t ask whether humans should interact with robots. They’ll already be doing it. And that matters economically. Because one of the biggest barriers to consumer robotics isn’t just price. It’s trust. People need to feel comfortable allowing an autonomous machine into their personal space. Inside their homes. Around their families. Around their children. That kind of acceptance can take years. Sometimes generations. But children who grow up around humanoids won’t need the same adjustment. To them, asking a robot to carry something might feel as normal as asking Alexa a question feels today. And once that happens, the addressable market changes dramatically. A robot isn’t just industrial equipment anymore. It becomes a household product. A service platform. An assistant. Potentially even something families upgrade every few years. First robot at school. First robot at the mall. First robot at work. Eventually… first robot at home. The companies building humanoids today aren’t only competing for today’s customers. They may be competing to become familiar to an entire generation of future customers. Because the biggest sign that humanoid robots have won won’t be people staring at them. It’ll be children walking past one without thinking twice.

Mag1strY0da

10,149 次观看 • 14 天前