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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... show more

Lukas Ziegler

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48,300 views • 8 months ago •via X (Twitter)

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Automated factory of EFORT robotics in China, where robots makes more robots. I often get replies claiming automation means manufacturing moving back to mature markets. This view disregards the complexity in the industrial robot supply chain. 1/4🧵

Automated factory of EFORT robotics in China, where robots makes more robots. I often get replies claiming automation means manufacturing moving back to mature markets. This view disregards the complexity in the industrial robot supply chain. 1/4🧵

Zhao DaShuai 东北进修🇨🇳

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Nearly 100 welding robots from Siasun Robot & Automation, a leading robotics firm in China's Shenyang, were deployed in a welding workshop of Geely Auto's Yiwu manufacturing plant.

Nearly 100 welding robots from Siasun Robot & Automation, a leading robotics firm in China's Shenyang, were deployed in a welding workshop of Geely Auto's Yiwu manufacturing plant.

China Xinhua News

11,086 views • 1 month ago

🚀 🔥 AgiBot deploys Real-World Reinforcement Learning (RW-RL) in industrial robotics with Longcheer Technology. Robots now learn new skills in tens of MINUTES (not weeks), adapt to variations autonomously, and reconfigure flexibly, solving rigid automation pain points in precision manufacturing. A giant leap of intelligent automation for precision manufacturing! #AgiBot #ReinforcementLearning #RealWorldRL #Robotics #AI #IndustrialRobotics

🚀 🔥 AgiBot deploys Real-World Reinforcement Learning (RW-RL) in industrial robotics with Longcheer Technology. Robots now learn new skills in tens of MINUTES (not weeks), adapt to variations autonomously, and reconfigure flexibly, solving rigid automation pain points in precision manufacturing. A giant leap of intelligent automation for precision manufacturing! #AgiBot #ReinforcementLearning #RealWorldRL #Robotics #AI #IndustrialRobotics

AGIBOT

131,749 views • 7 months ago

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! 😮‍💨

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 views • 9 months ago

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

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 views • 8 months ago

It’s Monday. The robots have arrived. 🚚🤖 We’ve just moved into our new office— and guess who rolled in first? 😎 Our robots. Not just moving in... dancing in. 🕺🤖🎉 🎥 Watch them move.👇 #Robotics #Automation #PhysicalAI

It’s Monday. The robots have arrived. 🚚🤖 We’ve just moved into our new office— and guess who rolled in first? 😎 Our robots. Not just moving in... dancing in. 🕺🤖🎉 🎥 Watch them move.👇 #Robotics #Automation #PhysicalAI

Dexmate

11,700 views • 1 year ago

We asked Angus about the future of robotics and AI training. “I built an industrial-grade kinematic solver for 6 degrees of freedom motion, with full path planning and joint control." "You can stream AI model outputs into it, or run it like a traditional industrial robot." "The benefit of that is all of that information you can stream and record from those joints… you can use that as the training data." "Frankly, moving a robot with a lever is really crap data for training robots. But this gives you smooth, high-quality motion, without needing two robots.”

We asked Angus about the future of robotics and AI training. “I built an industrial-grade kinematic solver for 6 degrees of freedom motion, with full path planning and joint control." "You can stream AI model outputs into it, or run it like a traditional industrial robot." "The benefit of that is all of that information you can stream and record from those joints… you can use that as the training data." "Frankly, moving a robot with a lever is really crap data for training robots. But this gives you smooth, high-quality motion, without needing two robots.”

TBPN

18,811 views • 1 year ago

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

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

185,867 views • 2 months ago

A Taiwanese startup is rethinking what a SCARA robot can do. They developed a robot that outperforms typical SCARA models in speed, stability, and space efficiency. Unlike most conventional arms, it can also move smoothly through singularity positions, where many robots lose control or need complex workarounds. That matters more than it sounds. Singularity limits often prevent standard industrial robots from handling certain tasks. Solving it could unlock more advanced automation in tighter, more demanding spaces. Video Credit: Marc Theermann #robotics #robots

A Taiwanese startup is rethinking what a SCARA robot can do. They developed a robot that outperforms typical SCARA models in speed, stability, and space efficiency. Unlike most conventional arms, it can also move smoothly through singularity positions, where many robots lose control or need complex workarounds. That matters more than it sounds. Singularity limits often prevent standard industrial robots from handling certain tasks. Solving it could unlock more advanced automation in tighter, more demanding spaces. Video Credit: Marc Theermann #robotics #robots

Wevolver

30,581 views • 2 months ago

Unitree G1 now has a cluster control system that lets many robots work together with precise coordination. It connects multiple robots on one network, even across different systems and hardware. AI plans and executes actions in real time, making all robots move in sync like one system.

Unitree G1 now has a cluster control system that lets many robots work together with precise coordination. It connects multiple robots on one network, even across different systems and hardware. AI plans and executes actions in real time, making all robots move in sync like one system.

Space and Technology

23,834 views • 2 months ago

🚨 UNCANNY VALLEY: “YOUTUBE VIDEOS WON’T TRAIN ROBOTS” Rajat Bhageria explains why learning from YouTube demos fails when it comes to building robots that actually work in the real world. Founder of Chef Robotics, Rajat Bhageria: “My hands can do weird motions a robot physically can’t. There’s a grounding problem, robots have constraints, and most demo data isn’t even from the right perspective. This isn’t LLMs. You can’t just download the internet and expect it to work.” Uncanny Valley with Danish only on 𝕏.

🚨 UNCANNY VALLEY: “YOUTUBE VIDEOS WON’T TRAIN ROBOTS” Rajat Bhageria explains why learning from YouTube demos fails when it comes to building robots that actually work in the real world. Founder of Chef Robotics, Rajat Bhageria: “My hands can do weird motions a robot physically can’t. There’s a grounding problem, robots have constraints, and most demo data isn’t even from the right perspective. This isn’t LLMs. You can’t just download the internet and expect it to work.” Uncanny Valley with Danish only on 𝕏.

Mario Nawfal

257,503 views • 1 year ago

Sam Altman says he’s excited about a future where signing up for ChatGPT’s highest tier gets you a free humanoid robot. ⦿ The mechanical engineering and AI for humanoids are quite hard but feel within grasp. ⦿ Making a billion humanoid robots will take a while; maybe the first million humanoid robots, built the old-fashioned way, will automate the entire robotics supply chain to enable faster scale. ⦿ The demand for humanoids will be far more than what we can handle with current supply chains. ⦿ Things we've tried to bring manufacturing back to the US have failed. AI & robotics is a potential solution.

Sam Altman says he’s excited about a future where signing up for ChatGPT’s highest tier gets you a free humanoid robot. ⦿ The mechanical engineering and AI for humanoids are quite hard but feel within grasp. ⦿ Making a billion humanoid robots will take a while; maybe the first million humanoid robots, built the old-fashioned way, will automate the entire robotics supply chain to enable faster scale. ⦿ The demand for humanoids will be far more than what we can handle with current supply chains. ⦿ Things we've tried to bring manufacturing back to the US have failed. AI & robotics is a potential solution.

The Humanoid Hub

82,099 views • 1 year ago

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

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 views • 1 year ago

Jensen Huang was asked about humanoid robots at Beijing Supply Chain Expo, what he said: ⦿ Timing for humanoid robot technology is right now ⦿ World is short tens of millions of workers, robots will grow world’s GDP a lot ⦿ China has unique combination of AI tech, mechatronics skills and a large manufacturing base to deploy robots ⦿ $NVDA will work with any robotics company they’re allowed to. He wouldn’t be surprised if Xiaomi and BYD develop amazing robots in the future

Jensen Huang was asked about humanoid robots at Beijing Supply Chain Expo, what he said: ⦿ Timing for humanoid robot technology is right now ⦿ World is short tens of millions of workers, robots will grow world’s GDP a lot ⦿ China has unique combination of AI tech, mechatronics skills and a large manufacturing base to deploy robots ⦿ $NVDA will work with any robotics company they’re allowed to. He wouldn’t be surprised if Xiaomi and BYD develop amazing robots in the future

The Humanoid Hub

32,406 views • 11 months ago

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 →

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

59,708 views • 6 months ago

🚨 BREAKING: German robot maker NEURA Robotics has raised €120 million in Series B funding to advance its cognitive robotics technology. Good to see the Europe robotics market moving! 🇪🇺 And yes I know this is news from mid-January, sometimes you have to be like Internet Explorer! Their product lineup includes collaborative arms, autonomous mobile robots, and humanoids. The funding will support new product development and the growth of its Neuraverse ecosystem, an operating system and marketplace for robotic skills. David Reger believes cognitive robots could become bigger than smartphones, with NEURA leading the way as Germany’s only humanoid robotics company. You can meet this and many other robots at the internationalhumanoidforum in Biel on the 20th & 21st of February! 🇨🇭 I also will be there, and I am happy to talk about the future of robotics!

🚨 BREAKING: German robot maker NEURA Robotics has raised €120 million in Series B funding to advance its cognitive robotics technology. Good to see the Europe robotics market moving! 🇪🇺 And yes I know this is news from mid-January, sometimes you have to be like Internet Explorer! Their product lineup includes collaborative arms, autonomous mobile robots, and humanoids. The funding will support new product development and the growth of its Neuraverse ecosystem, an operating system and marketplace for robotic skills. David Reger believes cognitive robots could become bigger than smartphones, with NEURA leading the way as Germany’s only humanoid robotics company. You can meet this and many other robots at the internationalhumanoidforum in Biel on the 20th & 21st of February! 🇨🇭 I also will be there, and I am happy to talk about the future of robotics!

Lukas Ziegler

46,521 views • 1 year ago

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 →

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 views • 6 months ago

2. NVIDIA is building the GPT of humanoid robots. They just launched Isaac GR00T N1.5 - a foundation model for general purpose robotics. Here’s how it works: → A human demos the task once → Cosmos (their physics AI model) generates 1,000s of variations → Omniverse simulates the motions in high fidelity → The robot trains entirely in simulation → Then fine-tunes itself in the real world Robots can now learn general skills across tasks, tools, even body types with just one human demo. AI isn’t just thinking in text anymore. It’s perceiving. Reasoning. Moving. Physical AI is here and it’s training itself.

2. NVIDIA is building the GPT of humanoid robots. They just launched Isaac GR00T N1.5 - a foundation model for general purpose robotics. Here’s how it works: → A human demos the task once → Cosmos (their physics AI model) generates 1,000s of variations → Omniverse simulates the motions in high fidelity → The robot trains entirely in simulation → Then fine-tunes itself in the real world Robots can now learn general skills across tasks, tools, even body types with just one human demo. AI isn’t just thinking in text anymore. It’s perceiving. Reasoning. Moving. Physical AI is here and it’s training itself.

Shruti

70,359 views • 1 year ago

In China, this Huawei robot can plant trees in desert 🐪! An army of these robots could help fight desertification! #Robots

In China, this Huawei robot can plant trees in desert 🐪! An army of these robots could help fight desertification! #Robots

Zhang Meifang

112,361 views • 3 years ago

A Schaeffler auto-parts plant in Cheraw, S.C., is putting humanoid robots to work. The factory uses three robots in a plant that employs 750 human workers. Read more:

A Schaeffler auto-parts plant in Cheraw, S.C., is putting humanoid robots to work. The factory uses three robots in a plant that employs 750 human workers. Read more:

The Wall Street Journal

69,288 views • 3 months ago