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ROBOTS PERFORM SURGERY ON AN EGG WITHOUT CRACKS Robotic precision has reached a new frontier. Engineers have taught surgical robots to cut open a raw eggshell, work on the yolk inside, and stitch it shut again without breaking. What sounds like a lab stunt is a glimpse of medicine’s...

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Mario Nawfal

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189,537 просмотров • 9 месяцев назад •via X (Twitter)

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🇺🇸 MIT’S NEW ROBOT THREAD ZAPS BRAIN CLOTS WITHOUT A SINGLE CUT MIT engineers built a robot thread thinner than a spaghetti noodle that slithers through your brain's blood vessels to bust clots. It’s magnetically controlled from the outside, like a high-stakes video game inside your skull. Translation: fewer scalpels, less drilling, more precision. It could revolutionize how doctors treat strokes, aneurysms, and other brain blockages without the whole "open brain" vibe. Source: Mr. Tesla 45
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🇺🇸 MIT’S NEW ROBOT THREAD ZAPS BRAIN CLOTS WITHOUT A SINGLE CUT MIT engineers built a robot thread thinner than a spaghetti noodle that slithers through your brain's blood vessels to bust clots. It’s magnetically controlled from the outside, like a high-stakes video game inside your skull. Translation: fewer scalpels, less drilling, more precision. It could revolutionize how doctors treat strokes, aneurysms, and other brain blockages without the whole "open brain" vibe. Source: Mr. Tesla 45

Mario Nawfal

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Cornell engineers have developed a robotic collective that behaves less like a machine and more like a material that flows, reshapes, and adapts to its environment without centralized control. The system, called the Cross-Link Collective, consists of dozens of small robots that have limited mobility individually, but together exhibit coordinated and sustained motion. The research, published May 20 in Science Robotics, demonstrates a robotic system that resembles soft matter, continuously deforming and reorganizing as it moves, driven by what researchers call mechanical intelligence. Cornell Duffield College of Engineering Cornell Research & Innovation Read more:
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Cornell engineers have developed a robotic collective that behaves less like a machine and more like a material that flows, reshapes, and adapts to its environment without centralized control. The system, called the Cross-Link Collective, consists of dozens of small robots that have limited mobility individually, but together exhibit coordinated and sustained motion. The research, published May 20 in Science Robotics, demonstrates a robotic system that resembles soft matter, continuously deforming and reorganizing as it moves, driven by what researchers call mechanical intelligence. Cornell Duffield College of Engineering Cornell Research & Innovation Read more:

Cornell University

73,339 просмотров • 21 дней назад

Amazing shot! He hits a single M&M on an egg without breaking it.
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Amazing shot! He hits a single M&M on an egg without breaking it.

Gun Lovers Club

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🇨🇳 ROBOT RELAY ON THE GREAT WALL? CHINA JUST DID THAT Robots just ran an energy baton relay on the Great Wall of China to open the World Humanoid Robot Games. Yes, actual robots. In uniforms. Running. Is it the future of sports, or just the nerdiest flex in history? Source: CGTN
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🇨🇳 ROBOT RELAY ON THE GREAT WALL? CHINA JUST DID THAT Robots just ran an energy baton relay on the Great Wall of China to open the World Humanoid Robot Games. Yes, actual robots. In uniforms. Running. Is it the future of sports, or just the nerdiest flex in history? Source: CGTN

Mario Nawfal

82,407 просмотров • 11 месяцев назад

this texas switch with a CGI body double in SOURCE CODE is crazy because it happens twice without a visible cut. it’s a really solid visual effect and i love the camera move from inside the train to the platform.
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this texas switch with a CGI body double in SOURCE CODE is crazy because it happens twice without a visible cut. it’s a really solid visual effect and i love the camera move from inside the train to the platform.

patrick.

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Our humanoid robots have now crossed 100,000 packages! As a reminder, this is happening fully autonomous. The robots are networked together to run 24/7 operations
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Our humanoid robots have now crossed 100,000 packages! As a reminder, this is happening fully autonomous. The robots are networked together to run 24/7 operations

Figure

450,617 просмотров • 26 дней назад

Multi-robot learning is getting a serious boost! 📚 Researchers have extended Isaac Lab to train heterogeneous multi-agent robotic policies at scale. The new framework supports high-resolution physics, GPU-accelerated simulation, and both homogeneous and heterogeneous agents working together on coordination tasks. They benchmarked different approaches (MAPPO: Multi-Agent Proximal Policy Optimization and HAPPO: Heterogeneous Agent PPO) across six challenging scenarios and showed that large-scale multi-robot training is not only feasible, but efficient. It’s an important step for real-world robotic collaboration, where teams of robots need to coordinate, split tasks, adapt roles, and interact dynamically, not just operate as identical clones. The code is open-source, and it pushes Isaac Lab closer to what robotics actually needs: scalable, physics-driven environments where many different robots can learn to work together. Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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Multi-robot learning is getting a serious boost! 📚 Researchers have extended Isaac Lab to train heterogeneous multi-agent robotic policies at scale. The new framework supports high-resolution physics, GPU-accelerated simulation, and both homogeneous and heterogeneous agents working together on coordination tasks. They benchmarked different approaches (MAPPO: Multi-Agent Proximal Policy Optimization and HAPPO: Heterogeneous Agent PPO) across six challenging scenarios and showed that large-scale multi-robot training is not only feasible, but efficient. It’s an important step for real-world robotic collaboration, where teams of robots need to coordinate, split tasks, adapt roles, and interact dynamically, not just operate as identical clones. The code is open-source, and it pushes Isaac Lab closer to what robotics actually needs: scalable, physics-driven environments where many different robots can learn to work together. Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

38,997 просмотров • 6 месяцев назад

What are we doing people, is it just me, or does the foolery need to stop. What’s the difference than going on a field with an actual base and work on the same thing? Are we creating robots or athletes?
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What are we doing people, is it just me, or does the foolery need to stop. What’s the difference than going on a field with an actual base and work on the same thing? Are we creating robots or athletes?

Austin Ford Sr.

448,948 просмотров • 10 месяцев назад

MIT ROBOT THREAD PERFORMS BRAIN SURGERY WITH PRECISION Neuroscience just leveled up. MIT built a magnetic thread robot that can slip through the brain’s delicate vessels to clear deadly clots without opening the skull. No scalpels, no invasive drilling—just control, precision, and futuristic tech guiding a thread where human hands can’t go. A real step toward safer, faster brain surgery. Medicine isn’t just healing anymore, it’s engineering miracles at the smallest scale. Source: the.blacklist.bureau
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MIT ROBOT THREAD PERFORMS BRAIN SURGERY WITH PRECISION Neuroscience just leveled up. MIT built a magnetic thread robot that can slip through the brain’s delicate vessels to clear deadly clots without opening the skull. No scalpels, no invasive drilling—just control, precision, and futuristic tech guiding a thread where human hands can’t go. A real step toward safer, faster brain surgery. Medicine isn’t just healing anymore, it’s engineering miracles at the smallest scale. Source: the.blacklist.bureau

Mario Nawfal

95,601 просмотров • 9 месяцев назад

Can robots learn without training❓ [𝗜𝘁'𝘀 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲𝗱 ⬇ ] Teaching robots to do complex tasks WITHOUT spending hours training them. Sounds cool, right? That's exactly what DIAL-MPC does! The first training-free method for whole-body torque control using full-order dynamics: ✅ Instantly checks if a robot's moves are right or wrong ✅ Adapts quickly to new tasks without needing extra training ✅ Could work hand-in-hand with other robot learning methods Robots are getting smarter AND faster without the need for long training sessions. Website: Paper: Code: Saw this first Haoru Xue ✈️ CVPR 🙏
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Can robots learn without training❓ [𝗜𝘁'𝘀 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲𝗱 ⬇ ] Teaching robots to do complex tasks WITHOUT spending hours training them. Sounds cool, right? That's exactly what DIAL-MPC does! The first training-free method for whole-body torque control using full-order dynamics: ✅ Instantly checks if a robot's moves are right or wrong ✅ Adapts quickly to new tasks without needing extra training ✅ Could work hand-in-hand with other robot learning methods Robots are getting smarter AND faster without the need for long training sessions. Website: Paper: Code: Saw this first Haoru Xue ✈️ CVPR 🙏

Ilir Aliu

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Placing objects sounds simple… until robots have to do it. This method makes it simple, fast & reliable. [Github ⬇️] Robotic object placement is tough, especially with stacking, hanging, or insertion. AnyPlace is a new two-stage method that uses only synthetic data and a vision-language model to teach robots where and how to place objects; even in the real world. Why this works ✅ Finds the right spot with help from vision-language models ✅ Handles stacking, insertion, and hanging with no real-world training ✅ Trained on synthetic data using Blender and IsaacSim ✅ Works in the real world without fine-tuning It shows that smart use of simulation and language models can make robotic placement tasks easier, faster, and more reliable. Github: Paper: Thank you for sharing Animesh Garg !
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Placing objects sounds simple… until robots have to do it. This method makes it simple, fast & reliable. [Github ⬇️] Robotic object placement is tough, especially with stacking, hanging, or insertion. AnyPlace is a new two-stage method that uses only synthetic data and a vision-language model to teach robots where and how to place objects; even in the real world. Why this works ✅ Finds the right spot with help from vision-language models ✅ Handles stacking, insertion, and hanging with no real-world training ✅ Trained on synthetic data using Blender and IsaacSim ✅ Works in the real world without fine-tuning It shows that smart use of simulation and language models can make robotic placement tasks easier, faster, and more reliable. Github: Paper: Thank you for sharing Animesh Garg !

Ilir Aliu - eu/acc

22,843 просмотров • 1 год назад

Russian troops surrendered to robots. Drones and ground bots took a Russian position without infantry and without losses on Ukraine’s side — Telegraph. Zelenskyy: For the first time in the history of this war, an enemy position was taken exclusively by unmanned systems. 1/
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Russian troops surrendered to robots. Drones and ground bots took a Russian position without infantry and without losses on Ukraine’s side — Telegraph. Zelenskyy: For the first time in the history of this war, an enemy position was taken exclusively by unmanned systems. 1/

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359,822 просмотров • 1 месяц назад

Had an amazing time at the Stanford Robotics Center Launch event this Saturday! The Packard building’s underground floor has been transformed into a bright new robotics lab, complete with a mocap room, specialized spaces for domestic, field, and surgical robots, and even an aquarium in progress for the Ocean One bot! Check out the videos below—there’s one of me operating a Da Vinci surgical robot 🤖 Robotics truly embodies interdisciplinary collaboration, pulling together expertise from electrical engineering, mechanical engineering, computer science, materials science, HCI, and design. It’s the kind of field where no single department could drive research forward alone. This new center is an incredible resource to unite researchers, and I have to admit, I’m a bit envious of the PhD students who get to work in such an inspiring environment! Look forward to more great research work from Stanford!
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Had an amazing time at the Stanford Robotics Center Launch event this Saturday! The Packard building’s underground floor has been transformed into a bright new robotics lab, complete with a mocap room, specialized spaces for domestic, field, and surgical robots, and even an aquarium in progress for the Ocean One bot! Check out the videos below—there’s one of me operating a Da Vinci surgical robot 🤖 Robotics truly embodies interdisciplinary collaboration, pulling together expertise from electrical engineering, mechanical engineering, computer science, materials science, HCI, and design. It’s the kind of field where no single department could drive research forward alone. This new center is an incredible resource to unite researchers, and I have to admit, I’m a bit envious of the PhD students who get to work in such an inspiring environment! Look forward to more great research work from Stanford!

Charles Qi

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TESLA’S HUMAN TOUCH IN ROBOT FORM The hand of the future! The Optimus hand flexes a 22-joint hand built like ours, complete with steel tendons and fingertip sensors. It can lift a battery, fold laundry, or cradle an egg without cracking it. The new silicone-skinned fingers react in real time, blending muscle power with neural precision. Source: TeslaRocks Video: Maye Musk
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TESLA’S HUMAN TOUCH IN ROBOT FORM The hand of the future! The Optimus hand flexes a 22-joint hand built like ours, complete with steel tendons and fingertip sensors. It can lift a battery, fold laundry, or cradle an egg without cracking it. The new silicone-skinned fingers react in real time, blending muscle power with neural precision. Source: TeslaRocks Video: Maye Musk

Mario Nawfal

341,531 просмотров • 7 месяцев назад

Quite a sight – ten Figure 02 robots walking together in a single frame. The Year of the Robots is living up to its promise – and we still have 280 days to go!
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Quite a sight – ten Figure 02 robots walking together in a single frame. The Year of the Robots is living up to its promise – and we still have 280 days to go!

The Humanoid Hub

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peaq

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