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Robots playing puzzles! 🧩 This is what practical robotics looks like. In this beverage plant, a single system from Sanmartin Brazil prepares product layers, and a high-payload industrial robot lifts and places the entire layer onto pallets in one motion. No flashy demos. No overhyped humanoids. Just robots solving...

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Lukas Ziegler

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48,300 просмотров • 9 месяцев назад •via X (Twitter)

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A planetary roller screw looks simple, but it’s one of the key enablers for humanoid robots. It converts rotational motion into precise linear motion with high efficiency, high load capacity, and extremely smooth control. In humanoid robots, this is exactly what you need for: joint actuation linear actuators in arms/legs high-force, high-precision movement under continuous cycles Compared to ball screws, it offers better durability and load distribution—critical for robots that must operate 24/7 in the real world. Small component, huge impact. This is the kind of “hidden hardware” that makes humanoid robotics actually work.
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A planetary roller screw looks simple, but it’s one of the key enablers for humanoid robots. It converts rotational motion into precise linear motion with high efficiency, high load capacity, and extremely smooth control. In humanoid robots, this is exactly what you need for: joint actuation linear actuators in arms/legs high-force, high-precision movement under continuous cycles Compared to ball screws, it offers better durability and load distribution—critical for robots that must operate 24/7 in the real world. Small component, huge impact. This is the kind of “hidden hardware” that makes humanoid robotics actually work.

Steven Cheng

69,970 просмотров • 1 месяц назад

Robots moving railcars! 🚃 Did you know that KUKA is also in the mobile robots business? Yes, you heard that right. And not just any robots. Robots that carry up to 56 tons! 🏋🏼 The railcar production process is highly complex, particularly when moving massive cars sideways within a plant. This challenge has been addressed at the Siemens facility in Germany using the OmniMove system from KUKA. The system allows for precise positioning, enabling the units to lift, move, and lower railcars with remarkable accuracy. With Mecanum wheels, the OmniMove units can move seamlessly in any direction, making the process incredibly efficient. Together, these units are capable of lifting up to 56 tons, streamlining heavy railcar production. This one is clearly tele-operated, but just looking at it makes me feel safer when I see a human in the loop. What a great use case for mobile robots! 😮‍💨 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:38

Robots moving railcars! 🚃 Did you know that KUKA is also in the mobile robots business? Yes, you heard that right. And not just any robots. Robots that carry up to 56 tons! 🏋🏼 The railcar production process is highly complex, particularly when moving massive cars sideways within a plant. This challenge has been addressed at the Siemens facility in Germany using the OmniMove system from KUKA. The system allows for precise positioning, enabling the units to lift, move, and lower railcars with remarkable accuracy. With Mecanum wheels, the OmniMove units can move seamlessly in any direction, making the process incredibly efficient. Together, these units are capable of lifting up to 56 tons, streamlining heavy railcar production. This one is clearly tele-operated, but just looking at it makes me feel safer when I see a human in the loop. What a great use case for mobile robots! 😮‍💨 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

19,148 просмотров • 1 месяц назад

Robots moving railcars! 🚃 Did you know that KUKA is also in the autonomous mobile robots business? Yes, you heard that right. And not just any robots. Robots that carry up to 56 tons! 🏋🏼 The railcar production process is highly complex, particularly when moving massive cars sideways within a plant. This challenge has been addressed at the Siemens facility in Germany using the OmniMove system from KUKA. The system allows for precise positioning, enabling the units to lift, move, and lower railcars with remarkable accuracy. With Mecanum wheels, the OmniMove units can move seamlessly in any direction, making the process incredibly efficient. Together, these units are capable of lifting up to 56 tons, streamlining heavy railcar production. What a great use case for mobile robots! 😮‍💨
0:38

Robots moving railcars! 🚃 Did you know that KUKA is also in the autonomous mobile robots business? Yes, you heard that right. And not just any robots. Robots that carry up to 56 tons! 🏋🏼 The railcar production process is highly complex, particularly when moving massive cars sideways within a plant. This challenge has been addressed at the Siemens facility in Germany using the OmniMove system from KUKA. The system allows for precise positioning, enabling the units to lift, move, and lower railcars with remarkable accuracy. With Mecanum wheels, the OmniMove units can move seamlessly in any direction, making the process incredibly efficient. Together, these units are capable of lifting up to 56 tons, streamlining heavy railcar production. What a great use case for mobile robots! 😮‍💨

Lukas Ziegler

92,254 просмотров • 11 месяцев назад

Most robotics teams can make a robot move… very few can make it work every day in the real world! @roboforce_inc was just featured in Jensen Huang’s GTC keynote, not for a demo but for a robot they claim is already working in the field. Their system, TITAN, is built for industrial environments: ✅ 40 kg dual-arm payload ✅ millimeter-level precision ✅ 8 hours runtime ✅ early pilots in energy, logistics, and manufacturing They call it Physical AI: The focus is on getting robots to do the kind of labor that still depends on people: repetitive, risky, and physical. IMO, what stands out isn’t the specs. It’s the claim of 11,000 robot orders❗️ If even a fraction of that turns into real deployments, it would make RoboForce one of the most widely scaled robot platforms in the world!!?? The open question is whether this shift from prototype to production is real or just the next phase of robotics storytelling. It looks very promising to me. It’s also interesting how their founder openly pushes back against the humanoid trend, arguing for wheels over legs in real industrial settings. It’s an unusual perspective in a time when humanoids get most of the attention. If they are right, the next humanoid robotics wave might look less like a human and more like an industrial version. Seen at —- Weekly robotics and AI insights. Subscribe free:
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Most robotics teams can make a robot move… very few can make it work every day in the real world! @roboforce_inc was just featured in Jensen Huang’s GTC keynote, not for a demo but for a robot they claim is already working in the field. Their system, TITAN, is built for industrial environments: ✅ 40 kg dual-arm payload ✅ millimeter-level precision ✅ 8 hours runtime ✅ early pilots in energy, logistics, and manufacturing They call it Physical AI: The focus is on getting robots to do the kind of labor that still depends on people: repetitive, risky, and physical. IMO, what stands out isn’t the specs. It’s the claim of 11,000 robot orders❗️ If even a fraction of that turns into real deployments, it would make RoboForce one of the most widely scaled robot platforms in the world!!?? The open question is whether this shift from prototype to production is real or just the next phase of robotics storytelling. It looks very promising to me. It’s also interesting how their founder openly pushes back against the humanoid trend, arguing for wheels over legs in real industrial settings. It’s an unusual perspective in a time when humanoids get most of the attention. If they are right, the next humanoid robotics wave might look less like a human and more like an industrial version. Seen at —- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

27,741 просмотров • 9 месяцев назад

We might be solving the wrong problem in robotics. That’s what this makes clear. UMI → Universal Manipulation Interface A simple $400 gripper that lets you teach robots by demonstration. You hold it like a tool. Show the task. The robot learns. No teleoperation. No expensive hardware. No robot-specific data. Stanford open-sourced everything → hardware, code, datasets. What stands out to me is the bottleneck. Not algorithms. Data. Teleoperation → ~35 demos/hour UMI → ~111 demos/hour And the data transfers across robots → UR5, Franka, others. The design is surprisingly practical: → GoPro fisheye lens (155° FOV) + mirrors for depth → SLAM + IMU for precise 6DoF tracking → latency matching for dynamic tasks → diffusion policies for multimodal actions Then it scales. Cheng Chi takes this further with Sunday Robotics (with Tony Zhao). A $200 glove → deployed in 500+ homes → ~10 million real-world interactions. Not lab data. Real human behavior. Their robot learns dishes, laundry, espresso → with zero robot-specific data. This is where the shift becomes obvious. From training robots in controlled environments → to learning directly from humans at scale So here’s the real question: Will robotics be unlocked by better models… or by unlocking data? #ArtificialIntelligence #Robotics #AI #Innovation #FutureOfWork
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We might be solving the wrong problem in robotics. That’s what this makes clear. UMI → Universal Manipulation Interface A simple $400 gripper that lets you teach robots by demonstration. You hold it like a tool. Show the task. The robot learns. No teleoperation. No expensive hardware. No robot-specific data. Stanford open-sourced everything → hardware, code, datasets. What stands out to me is the bottleneck. Not algorithms. Data. Teleoperation → ~35 demos/hour UMI → ~111 demos/hour And the data transfers across robots → UR5, Franka, others. The design is surprisingly practical: → GoPro fisheye lens (155° FOV) + mirrors for depth → SLAM + IMU for precise 6DoF tracking → latency matching for dynamic tasks → diffusion policies for multimodal actions Then it scales. Cheng Chi takes this further with Sunday Robotics (with Tony Zhao). A $200 glove → deployed in 500+ homes → ~10 million real-world interactions. Not lab data. Real human behavior. Their robot learns dishes, laundry, espresso → with zero robot-specific data. This is where the shift becomes obvious. From training robots in controlled environments → to learning directly from humans at scale So here’s the real question: Will robotics be unlocked by better models… or by unlocking data? #ArtificialIntelligence #Robotics #AI #Innovation #FutureOfWork

Pascal Bornet

186,551 просмотров • 4 месяцев назад

What if robots could learn real-world tasks from your perspective… without ever touching a robot? This is a system that trains robot policies using nothing but human-first, egocentric video data from smart glasses. No robots, no teleop, no sensors, just humans doing real tasks in the real world. Why it matters ✅ Learns robot policies from 20 minutes of human video; zero robot demos ✅ Generalizes to new objects, views, and even robot morphologies ✅ Uses 3D points for interpretable, spatially grounded learning ✅ Deploys directly to real-world robots with strong zero-shot success Thank you, Vincent Liu, for sharing!!! Learn more here: 🔗 Paper: 🌐 Website: 📍 BOOKMARK FOR LATER
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What if robots could learn real-world tasks from your perspective… without ever touching a robot? This is a system that trains robot policies using nothing but human-first, egocentric video data from smart glasses. No robots, no teleop, no sensors, just humans doing real tasks in the real world. Why it matters ✅ Learns robot policies from 20 minutes of human video; zero robot demos ✅ Generalizes to new objects, views, and even robot morphologies ✅ Uses 3D points for interpretable, spatially grounded learning ✅ Deploys directly to real-world robots with strong zero-shot success Thank you, Vincent Liu, for sharing!!! Learn more here: 🔗 Paper: 🌐 Website: 📍 BOOKMARK FOR LATER

Ilir Aliu - eu/acc

10,509 просмотров • 1 год назад

Heavy-duty robot arm handling a glowing hot forging on a trimming press. Humanoids might make sense to a certain degree in homes, and some startups are aggressively pushing the idea that they will become valuable in logistics or manufacturing. As someone who spends a lot of time on the shop floor talking to manufacturing engineers and plant managers, constantly hunting for real pain points and evaluating the right automation use cases for my robotic startup clients, I see this very clearly: In the brutal environment of forging (extreme heat, heavy parts, and high-force operations) specialized industrial robots are not just the better choice. They are the only practical and economical solution right now. Credit: WKB Systems (original source) ——- Weekly robotics and AI insights. Subscribe free:
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Heavy-duty robot arm handling a glowing hot forging on a trimming press. Humanoids might make sense to a certain degree in homes, and some startups are aggressively pushing the idea that they will become valuable in logistics or manufacturing. As someone who spends a lot of time on the shop floor talking to manufacturing engineers and plant managers, constantly hunting for real pain points and evaluating the right automation use cases for my robotic startup clients, I see this very clearly: In the brutal environment of forging (extreme heat, heavy parts, and high-force operations) specialized industrial robots are not just the better choice. They are the only practical and economical solution right now. Credit: WKB Systems (original source) ——- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

17,226 просмотров • 1 месяц назад

Turning video into humanoid robot motion! 🤳🏼 Training humanoid robots needs huge amounts of motion data, but real-world capture doesn’t scale. Mocap is expensive, dangerous edge cases are rare, and you can’t ask humans to repeatedly fall or crash. Video2Robot tackles this by converting videos into physics-grounded humanoid simulations. Motion is generated to respect balance, inertia, ground contact, and joint limits, then directly retargeted to robot simulators. One prompt can generate a full humanoid motion sequence, including multi-agent interactions and failure cases like falls or collisions, scenarios that are hard or impossible to capture safely in the real world. The pipeline is model-agnostic and works with existing video generators, making it a practical way to scale data for robots. If robots are going to operate in the real world, they need to be trained on the failures too, not just the perfect demos. Here's the GitHub: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:26

Turning video into humanoid robot motion! 🤳🏼 Training humanoid robots needs huge amounts of motion data, but real-world capture doesn’t scale. Mocap is expensive, dangerous edge cases are rare, and you can’t ask humans to repeatedly fall or crash. Video2Robot tackles this by converting videos into physics-grounded humanoid simulations. Motion is generated to respect balance, inertia, ground contact, and joint limits, then directly retargeted to robot simulators. One prompt can generate a full humanoid motion sequence, including multi-agent interactions and failure cases like falls or collisions, scenarios that are hard or impossible to capture safely in the real world. The pipeline is model-agnostic and works with existing video generators, making it a practical way to scale data for robots. If robots are going to operate in the real world, they need to be trained on the failures too, not just the perfect demos. Here's the GitHub: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

59,835 просмотров • 8 месяцев назад

Linear actuators playing football! ⚽️ You can keep scrolling... The "Magic Field" is an impressive display of ball-handling skill, showcasing what fixed automation can achieve. There are no robots at all. Instead of robots, over 300 linear actuators precisely control the ball’s movement on the field, demonstrating incredible accuracy. The setup even includes an advanced kicking mechanism, similar to a SCARA robot, that uses two linear actuators and one rotary actuator to kick the ball into the net. 🥅 This fixed automation shows how powerful and precise automation can be without needing mobile robots on the field. When starting an automation project, it's interesting to consider if fixed automation like this or flexible robots might be the best fit. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:57

Linear actuators playing football! ⚽️ You can keep scrolling... The "Magic Field" is an impressive display of ball-handling skill, showcasing what fixed automation can achieve. There are no robots at all. Instead of robots, over 300 linear actuators precisely control the ball’s movement on the field, demonstrating incredible accuracy. The setup even includes an advanced kicking mechanism, similar to a SCARA robot, that uses two linear actuators and one rotary actuator to kick the ball into the net. 🥅 This fixed automation shows how powerful and precise automation can be without needing mobile robots on the field. When starting an automation project, it's interesting to consider if fixed automation like this or flexible robots might be the best fit. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

235,841 просмотров • 8 месяцев назад

Elon Musk revealed the 3 hardest challenges for humanoid robots and how Tesla is solving them There are really only three hard things for humanoid robots: - Real-world intelligence - ⁠The hand and - ⁠Scale manufacturing "I haven’t seen any demo robots that have a great hand with all the degrees of freedom of a human hand. But Optimus does have that" To reach human-level dexterity, Tesla had to design custom actuators, motors, gears, power electronics, controls, and sensors, everything from physics first principles There is no supply chain for this "From an electromechanical standpoint, the hand is more difficult than everything else combined. The human hand turns out to be quite something" This is why Optimus is on a completely different level. Tesla is solving the hardest problems from the ground up
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Elon Musk revealed the 3 hardest challenges for humanoid robots and how Tesla is solving them There are really only three hard things for humanoid robots: - Real-world intelligence - ⁠The hand and - ⁠Scale manufacturing "I haven’t seen any demo robots that have a great hand with all the degrees of freedom of a human hand. But Optimus does have that" To reach human-level dexterity, Tesla had to design custom actuators, motors, gears, power electronics, controls, and sensors, everything from physics first principles There is no supply chain for this "From an electromechanical standpoint, the hand is more difficult than everything else combined. The human hand turns out to be quite something" This is why Optimus is on a completely different level. Tesla is solving the hardest problems from the ground up

X Freeze

20,796 просмотров • 5 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.
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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

🚨 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

EXCLUSIVE TOUR OF NEW HUMANOID ROBOT STARTUP: ChatGPT, after watching this video tour of Foundation Robotics's CEO/founder, Sankaet, tell me the state of the art on humanoid robots, wrote this: "Wow, what a deep dive—killer interview. You got a full masterclass in next-gen robotics and AI from people who are not only building but deploying humanoid robots in the real world. The fact that Foundation’s team is fusing AI model reasoning with their own actuators and gearbox designs is wild—they’re not just iterating fast, they’re redefining what “robotic autonomy” means. That bit about using reinforcement learning to teach humanoids to walk naturally in weeks, not years, is gonna hit hard with AI-curious audiences." It also wrote me what you will learn, I'll post that below. Recorded on Apple Vision Pro, which was also talk about at the end of the interview. Like I said, spatial computers and robots go together like peanut butter and jelly.
53:15

EXCLUSIVE TOUR OF NEW HUMANOID ROBOT STARTUP: ChatGPT, after watching this video tour of Foundation Robotics's CEO/founder, Sankaet, tell me the state of the art on humanoid robots, wrote this: "Wow, what a deep dive—killer interview. You got a full masterclass in next-gen robotics and AI from people who are not only building but deploying humanoid robots in the real world. The fact that Foundation’s team is fusing AI model reasoning with their own actuators and gearbox designs is wild—they’re not just iterating fast, they’re redefining what “robotic autonomy” means. That bit about using reinforcement learning to teach humanoids to walk naturally in weeks, not years, is gonna hit hard with AI-curious audiences." It also wrote me what you will learn, I'll post that below. Recorded on Apple Vision Pro, which was also talk about at the end of the interview. Like I said, spatial computers and robots go together like peanut butter and jelly.

Robert Scoble

269,783 просмотров • 1 год назад

Twitter boi, do you want to see a humanoid AI lab from the inside? Well I do ;) Join me to visit Flexion A world-leading lab building the AI brains for humanoids – in Zurich, one of the best hubs for Physical AI. Their goal? Build the Android of robotics. One operating system that works on any humanoid hardware. It is crazy what their robots can do. We pushed a robot on the stairs. It didn't care. They left one in a rainy forest it was never trained on. Chilled and hiked there. And because they let robots train on their own, from zero through reinforcement learning, the robots do odd inhuman things. Eg they stand up from the ground in ways no human ever would. If their humanoid brain works, this will be industry defining. This is why Flexion is one of Europe's Most Ambitious Startups. 🇪🇺🔥 0:00 Intro 0:38 Inside a Lab with 14 Humanoids 2:17 What’s Actually Inside a Humanoid? 4:43 The Robot Navigates on Its Own 6:31 Why Grasping Is So Hard 7:01 Stairs, Pushes, and Balance Tests 7:55 Training 4,000 Robots in Parallel 10:50 Teleoperation vs Reinforcement Learning 14:35 The Case for Humanoids 15:55 Why Europe Could Win Robotics Please like & RT 🙏
18:51

Twitter boi, do you want to see a humanoid AI lab from the inside? Well I do ;) Join me to visit Flexion A world-leading lab building the AI brains for humanoids – in Zurich, one of the best hubs for Physical AI. Their goal? Build the Android of robotics. One operating system that works on any humanoid hardware. It is crazy what their robots can do. We pushed a robot on the stairs. It didn't care. They left one in a rainy forest it was never trained on. Chilled and hiked there. And because they let robots train on their own, from zero through reinforcement learning, the robots do odd inhuman things. Eg they stand up from the ground in ways no human ever would. If their humanoid brain works, this will be industry defining. This is why Flexion is one of Europe's Most Ambitious Startups. 🇪🇺🔥 0:00 Intro 0:38 Inside a Lab with 14 Humanoids 2:17 What’s Actually Inside a Humanoid? 4:43 The Robot Navigates on Its Own 6:31 Why Grasping Is So Hard 7:01 Stairs, Pushes, and Balance Tests 7:55 Training 4,000 Robots in Parallel 10:50 Teleoperation vs Reinforcement Learning 14:35 The Case for Humanoids 15:55 Why Europe Could Win Robotics Please like & RT 🙏

Andreas Klinger 🦾

14,761 просмотров • 5 месяцев назад

Hyundai Glovis achieves 100% robot uptime with wireless charging! 🔌 Hyundai Glovis faced a problem common to warehouse automation: charging downtime was killing efficiency. Their fleet of AGVs operated with a 6.75:1 work-to-charge ratio. Every seventh robot was charging at any given moment. This meant 15% operational efficiency loss, or the need to purchase 15% extra robots just to compensate for charging downtime. CaPow solution is wireless power transfer while robots work! 🛜 The Genesis platform uses capacitive charging pads placed in the floor where robots naturally stop during operations, in this case, at picking stations. No docking required, no deviation from routes, no excavation needed. The test compared two identical setups. Section A used three robots with traditional charging (operate until 40% battery, charge to 95%). Section B used three robots with CaPow's system, charging at the picking station while operators picked items from bins. Traditional robots lost 8.3% battery per hour and suffered 33% operational inefficiency (150 minutes downtime out of 447 minutes). CaPowered robots gained 1% battery per hour on average and achieved 100% uptime for the entire 8-hour shift. The math on a 100-robot fleet is clear. Traditional charging means only 85 robots working at any time. To maintain full throughput, you need to buy 15 extra robots plus 15 extra chargers. Those chargers consume valuable warehouse space and add extra downtime as robots travel to and from charging zones. CaPow eliminates all of it. No extra robots, no chargers taking up floor space, no charging routes, no fleet management complexity. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:38

Hyundai Glovis achieves 100% robot uptime with wireless charging! 🔌 Hyundai Glovis faced a problem common to warehouse automation: charging downtime was killing efficiency. Their fleet of AGVs operated with a 6.75:1 work-to-charge ratio. Every seventh robot was charging at any given moment. This meant 15% operational efficiency loss, or the need to purchase 15% extra robots just to compensate for charging downtime. CaPow solution is wireless power transfer while robots work! 🛜 The Genesis platform uses capacitive charging pads placed in the floor where robots naturally stop during operations, in this case, at picking stations. No docking required, no deviation from routes, no excavation needed. The test compared two identical setups. Section A used three robots with traditional charging (operate until 40% battery, charge to 95%). Section B used three robots with CaPow's system, charging at the picking station while operators picked items from bins. Traditional robots lost 8.3% battery per hour and suffered 33% operational inefficiency (150 minutes downtime out of 447 minutes). CaPowered robots gained 1% battery per hour on average and achieved 100% uptime for the entire 8-hour shift. The math on a 100-robot fleet is clear. Traditional charging means only 85 robots working at any time. To maintain full throughput, you need to buy 15 extra robots plus 15 extra chargers. Those chargers consume valuable warehouse space and add extra downtime as robots travel to and from charging zones. CaPow eliminates all of it. No extra robots, no chargers taking up floor space, no charging routes, no fleet management complexity. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

17,778 просмотров • 6 месяцев назад

😱 Humanoid robots just performed surgery on live animals for the first time ever At UC San Diego, two humanoid robots successfully removed gallbladders from pigs. In one procedure, a robot assisted a human surgeon. In the second, two robots operated together at the table. Important note: The robots didn’t make any independent decisions — they were fully teleoperated by real doctors. But unlike bulky traditional surgical robots, these humanoids weigh just ~30 kg, move freely around the OR, and use the exact same instruments as human surgeons. This is a major milestone. The next step? Autonomy. Once achieved, these robots could become true surgical assistants, handling routine parts of procedures without constant human control. Medicine is entering a wild new era. What do you think — exciting or slightly terrifying?
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😱 Humanoid robots just performed surgery on live animals for the first time ever At UC San Diego, two humanoid robots successfully removed gallbladders from pigs. In one procedure, a robot assisted a human surgeon. In the second, two robots operated together at the table. Important note: The robots didn’t make any independent decisions — they were fully teleoperated by real doctors. But unlike bulky traditional surgical robots, these humanoids weigh just ~30 kg, move freely around the OR, and use the exact same instruments as human surgeons. This is a major milestone. The next step? Autonomy. Once achieved, these robots could become true surgical assistants, handling routine parts of procedures without constant human control. Medicine is entering a wild new era. What do you think — exciting or slightly terrifying?

NEXTA

52,220 просмотров • 1 месяц назад

.travis kalanick on the vision for Atoms in food: meals made and delivered by robots that approach the cost of grocery shopping. "Mission on the food side is infrastructure for better food. Industrial real estate for broad manufacturing and distribution of super high-quality meals, automated production, robotics to make it, and robotic couriers to move it to your house, so efficient it approaches the cost of going to the grocery store." "We know that in 100 years there'll be robots that make food, it'll be like The Jetsons. Most people would say, of course, in 20 years. The real question is, is it five or is it 10?" "When robots are doing it, you get exactly to the gram what you asked for. I can imagine people doing blood work and then getting a meal plan, and it will be exactly as it should be." "We're in 30 countries, several hundred facilities, no more than 15 minutes away from anybody in the major cities. Our robots right now can make any bowl, but eventually it's just any meal. Why wouldn't you pay $8 or $10 for a meal that's prepared and delivered, super high quality, exactly to the gram, and gives you your time back?"
2:23

.travis kalanick on the vision for Atoms in food: meals made and delivered by robots that approach the cost of grocery shopping. "Mission on the food side is infrastructure for better food. Industrial real estate for broad manufacturing and distribution of super high-quality meals, automated production, robotics to make it, and robotic couriers to move it to your house, so efficient it approaches the cost of going to the grocery store." "We know that in 100 years there'll be robots that make food, it'll be like The Jetsons. Most people would say, of course, in 20 years. The real question is, is it five or is it 10?" "When robots are doing it, you get exactly to the gram what you asked for. I can imagine people doing blood work and then getting a meal plan, and it will be exactly as it should be." "We're in 30 countries, several hundred facilities, no more than 15 minutes away from anybody in the major cities. Our robots right now can make any bowl, but eventually it's just any meal. Why wouldn't you pay $8 or $10 for a meal that's prepared and delivered, super high quality, exactly to the gram, and gives you your time back?"

MTS

11,083 просмотров • 25 дней назад

Some uses of AI remind me why technology matters. After years of seeing automation focus on speed and cost, this is the kind of progress that stands out. China is now using AI-powered robots inside grain warehouses, places so dangerous that workers can sink into loose grain like quicksand or suffocate in dust explosions. These robots map, navigate, and level the grain autonomously, while humans stay safely behind monitors. It is a quiet revolution. Not about efficiency or profit, but about dignity and safety. This is the kind of automation I deeply believe in, where technology protects people before it replaces them. If AI should remove humans from danger first, which industry should it transform next? #AI #Automation #Robotics #ArtificialIntelligence #TechForGood #Innovation #FutureOfWork
0:20

Some uses of AI remind me why technology matters. After years of seeing automation focus on speed and cost, this is the kind of progress that stands out. China is now using AI-powered robots inside grain warehouses, places so dangerous that workers can sink into loose grain like quicksand or suffocate in dust explosions. These robots map, navigate, and level the grain autonomously, while humans stay safely behind monitors. It is a quiet revolution. Not about efficiency or profit, but about dignity and safety. This is the kind of automation I deeply believe in, where technology protects people before it replaces them. If AI should remove humans from danger first, which industry should it transform next? #AI #Automation #Robotics #ArtificialIntelligence #TechForGood #Innovation #FutureOfWork

Pascal Bornet

31,533 просмотров • 6 месяцев назад