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Multi legged robots built for tough terrain! 🐛 Unlike wheeled or long-legged machines that stall in cluttered fields, their multi legged design provides stable, low-profile locomotion through confined and unstructured environments. The robots from Ground Control Robotics move close to the ground, giving direct access to crops while carrying...

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Lukas Ziegler

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10,965 görüntüleme • 7 ay önce •via X (Twitter)

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🤖 When wheels and legs fail, evolution takes over. I find this fascinating — Ground Control Robotics, in collaboration with the Georgia Institute of Technology, is rethinking how robots move through the world. Instead of wheels or rigid legs, they’ve developed elongated multi-legged robots that can navigate cluttered, uneven, and confined spaces — places where traditional machines simply can’t operate. The potential is enormous: 🌾 Agriculture — working across unstructured farmland 🛡️ Defense — operating in complex terrain 🚨 Search and Rescue — reaching areas humans can’t 🐜 Pest Control — precise movement through tight environments It’s a reminder that innovation often begins where limitations appear — when we stop forcing machines to move like us, and start letting them move better than us. Could this be the next big leap in robotic mobility? #AI #Innovation #Technology #Robotics #Engineering #Automation #Agriculture #FutureOfWork Credits: Supriya Rathi
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🤖 When wheels and legs fail, evolution takes over. I find this fascinating — Ground Control Robotics, in collaboration with the Georgia Institute of Technology, is rethinking how robots move through the world. Instead of wheels or rigid legs, they’ve developed elongated multi-legged robots that can navigate cluttered, uneven, and confined spaces — places where traditional machines simply can’t operate. The potential is enormous: 🌾 Agriculture — working across unstructured farmland 🛡️ Defense — operating in complex terrain 🚨 Search and Rescue — reaching areas humans can’t 🐜 Pest Control — precise movement through tight environments It’s a reminder that innovation often begins where limitations appear — when we stop forcing machines to move like us, and start letting them move better than us. Could this be the next big leap in robotic mobility? #AI #Innovation #Technology #Robotics #Engineering #Automation #Agriculture #FutureOfWork Credits: Supriya Rathi

Pascal Bornet

87,158 görüntüleme • 7 ay önce

This research from ETH Zurich examines advancements in quadruped robots for industrial settings, specifically addressing their ability to climb ladders—a previously overlooked but essential capability. While legged robots excel over wheeled robots on rough terrain, their inability to scale ladders has limited their effectiveness in inspecting dangerous areas, impacting both safety and efficiency. Credit: ETH Zurich #engineering #technology #robotics #robots -------------------------------- Stay ahead of the curve! Follow us now on our WhatsApp ( and Telegram ( channels and stay updated about the cutting edge.
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This research from ETH Zurich examines advancements in quadruped robots for industrial settings, specifically addressing their ability to climb ladders—a previously overlooked but essential capability. While legged robots excel over wheeled robots on rough terrain, their inability to scale ladders has limited their effectiveness in inspecting dangerous areas, impacting both safety and efficiency. Credit: ETH Zurich #engineering #technology #robotics #robots -------------------------------- Stay ahead of the curve! Follow us now on our WhatsApp ( and Telegram ( channels and stay updated about the cutting edge.

Wevolver

10,615 görüntüleme • 1 yıl önce

The vlog from Pollen Robotics is out! A fantastic visit in Bordeaux to see myself one of the only European humanoids companies. I visited their HQ and saw how they build and test robots. It's great to see the open source approach that is getting more and more people involved in robotics. True democratization of robotics (thanks clem 🤗, and Hugging Face)! Here's the link to the vlog: Thanks for such a warm welcome Reachy team!💛 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:30

The vlog from Pollen Robotics is out! A fantastic visit in Bordeaux to see myself one of the only European humanoids companies. I visited their HQ and saw how they build and test robots. It's great to see the open source approach that is getting more and more people involved in robotics. True democratization of robotics (thanks clem 🤗, and Hugging Face)! Here's the link to the vlog: Thanks for such a warm welcome Reachy team!💛 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

10,365 görüntüleme • 7 ay önce

Robots with tentacles! 🐙 SpiRobs are soft robots inspired by nature, designed in the shape of a logarithmic spiral. They mimic the flexible movements of octopus arms and elephant trunks to grasp objects. 🐘 SpiRobs use simple cables to move, making them easy to control and operate. They can scale from small to large sizes, ranging from centimeters to meters. The robots can adapt to different object shapes, improving their grasping ability. A mini version can act as a tiny gripper, while a large version can be mounted on drones. Interestingly, multiple robots can work together to wrap around and hold large objects. That's just out of this world! 😮‍💨 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
1:04

Robots with tentacles! 🐙 SpiRobs are soft robots inspired by nature, designed in the shape of a logarithmic spiral. They mimic the flexible movements of octopus arms and elephant trunks to grasp objects. 🐘 SpiRobs use simple cables to move, making them easy to control and operate. They can scale from small to large sizes, ranging from centimeters to meters. The robots can adapt to different object shapes, improving their grasping ability. A mini version can act as a tiny gripper, while a large version can be mounted on drones. Interestingly, multiple robots can work together to wrap around and hold large objects. That's just out of this world! 😮‍💨 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

121,345 görüntüleme • 7 ay önce

Brain-controlled exoskeletons to train humanoid robots! 🧠 Fourier just presented human tele-operators using brain control interfaces and exoskeletal arms to train humanoid robots on home tasks. The brain control interface is the interesting part. Instead of using a controller or joystick to teleoperate, the operator's movements and intentions are captured more naturally through the exoskeleton and BCI. This means the demonstrations are more fluid, more human-like, and better suited for training robots to perform delicate home tasks. Multiple tele-operators are simultaneously generating training data across multiple robots. This is how you build the dataset needed for eventual full autonomy, without waiting years for it to arrive. This might be the bridge between "robots that work in controlled environments" and "robots that work in homes." Not full autonomy right away, but trusted human intelligence operating through a robot body, getting better with every task completed. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:56

Brain-controlled exoskeletons to train humanoid robots! 🧠 Fourier just presented human tele-operators using brain control interfaces and exoskeletal arms to train humanoid robots on home tasks. The brain control interface is the interesting part. Instead of using a controller or joystick to teleoperate, the operator's movements and intentions are captured more naturally through the exoskeleton and BCI. This means the demonstrations are more fluid, more human-like, and better suited for training robots to perform delicate home tasks. Multiple tele-operators are simultaneously generating training data across multiple robots. This is how you build the dataset needed for eventual full autonomy, without waiting years for it to arrive. This might be the bridge between "robots that work in controlled environments" and "robots that work in homes." Not full autonomy right away, but trusted human intelligence operating through a robot body, getting better with every task completed. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

20,898 görüntüleme • 6 ay önce

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 görüntüleme • 7 ay önce

These aquatic robots are more advanced than they look!🐬 Early versions developed by Walt Disney Imagineering started as simple underwater drones, essentially radio-controlled machines, using jet pumps for propulsion and servo motors for control. Functional, but clearly nothing new. Then came the biomimetic stuff. Larger prototypes began mimicking dolphins, using fins instead of propellers to create smooth, organic motion. Servos control vertical and lateral movement, making them move much closer to real animals than traditional underwater drones. The latest invention is autonomous hydrofoils. These platforms use GPS, ultrasonic sensors, and self-balancing control to follow precise trajectories on water, enabling synchronized, repeatable motion for large-scale shows. That's so cool! 😎 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:37

These aquatic robots are more advanced than they look!🐬 Early versions developed by Walt Disney Imagineering started as simple underwater drones, essentially radio-controlled machines, using jet pumps for propulsion and servo motors for control. Functional, but clearly nothing new. Then came the biomimetic stuff. Larger prototypes began mimicking dolphins, using fins instead of propellers to create smooth, organic motion. Servos control vertical and lateral movement, making them move much closer to real animals than traditional underwater drones. The latest invention is autonomous hydrofoils. These platforms use GPS, ultrasonic sensors, and self-balancing control to follow precise trajectories on water, enabling synchronized, repeatable motion for large-scale shows. That's so cool! 😎 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

67,279 görüntüleme • 7 ay önce

Robotics is entering the mainstream! 👀 Let's accept this fact. Consumptionism – stonks. Possibilities (HW + SW) – stonks. Demographics - not stonks. Modern robots are often designed to interact with our legacy world, whether it's a household, a factory, or a shipyard. That means they often need to work with existing machines, tools, and spaces. In short: retrofitting. Improving old machines with new technologies without major interference in their operation. Modern way of integrating things. You don't have to change the entire environment to deploy a robot. The robot will adapt, just as human would when freshly hired. The promise is to have an army of robots to help with the world designed for us. I also believe that general purpose robots, are not a direct competition for single purpose machines (like a highly efficient specialized packaging machine, for example). It's like adding a robot to this carriage. Specialized machine could be a car ;) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:59

Robotics is entering the mainstream! 👀 Let's accept this fact. Consumptionism – stonks. Possibilities (HW + SW) – stonks. Demographics - not stonks. Modern robots are often designed to interact with our legacy world, whether it's a household, a factory, or a shipyard. That means they often need to work with existing machines, tools, and spaces. In short: retrofitting. Improving old machines with new technologies without major interference in their operation. Modern way of integrating things. You don't have to change the entire environment to deploy a robot. The robot will adapt, just as human would when freshly hired. The promise is to have an army of robots to help with the world designed for us. I also believe that general purpose robots, are not a direct competition for single purpose machines (like a highly efficient specialized packaging machine, for example). It's like adding a robot to this carriage. Specialized machine could be a car ;) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

14,396 görüntüleme • 6 ay önce

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 görüntüleme • 1 ay önce

🔥 JUST IN: Open-source robotics dataset from 100% real-world scenarios! 🤯 Chinese robotics company AGIBOT just released AGIBOT WORLD 2026, an open-source dataset systematically covering key embodied AI research directions. Built entirely from real-world environments: commercial spaces, and homes. Collected using AGIBOT G2 robots in free-form collection mode, providing structured, accurately annotated, high-quality data. Digital twin technology creates 1:1 scale replicas in simulation matching the real environments. Both real-world and simulation data are open-sourced. The AGIBOT G2 platform collects multiple data types simultaneously: RGB(D) cameras, tactile sensors, force sensors, LiDAR, IMU, and full-body joint states. Whole-body control coordinates arms, waist, and hands for complex tasks. First-person teleoperation lets operators control the robot from its perspective. The tasks covered are fine-grained manipulation, ultra-long-horizon tasks, spatial navigation, dual-arm coordination, and multi-agent/human-robot collaboration. The dataset includes error-recovery trajectories with annotations. Most datasets only show successful demonstrations. AGIBOT includes failures and how the robot recovers, teaching models how to handle mistakes. After collection, data is tested through policy training and real-robot deployment to ensure quality. Then processed through industrial quality control with multiple screening and cleaning rounds. Making it open-source accelerates embodied AI research by giving researchers access to high-quality real-world robot data at scale. 🇨🇳 Learn more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:26

🔥 JUST IN: Open-source robotics dataset from 100% real-world scenarios! 🤯 Chinese robotics company AGIBOT just released AGIBOT WORLD 2026, an open-source dataset systematically covering key embodied AI research directions. Built entirely from real-world environments: commercial spaces, and homes. Collected using AGIBOT G2 robots in free-form collection mode, providing structured, accurately annotated, high-quality data. Digital twin technology creates 1:1 scale replicas in simulation matching the real environments. Both real-world and simulation data are open-sourced. The AGIBOT G2 platform collects multiple data types simultaneously: RGB(D) cameras, tactile sensors, force sensors, LiDAR, IMU, and full-body joint states. Whole-body control coordinates arms, waist, and hands for complex tasks. First-person teleoperation lets operators control the robot from its perspective. The tasks covered are fine-grained manipulation, ultra-long-horizon tasks, spatial navigation, dual-arm coordination, and multi-agent/human-robot collaboration. The dataset includes error-recovery trajectories with annotations. Most datasets only show successful demonstrations. AGIBOT includes failures and how the robot recovers, teaching models how to handle mistakes. After collection, data is tested through policy training and real-robot deployment to ensure quality. Then processed through industrial quality control with multiple screening and cleaning rounds. Making it open-source accelerates embodied AI research by giving researchers access to high-quality real-world robot data at scale. 🇨🇳 Learn more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

40,583 görüntüleme • 4 ay önce

Robots might learn better from video than from language! 📼 Most Vision-Language-Action (VLA) models learn what to do from text, but still struggle with how things move in the real world. That makes them data-hungry and slow to train. mimic video takes a different route. Instead of grounding robot control in text, it grounds it in video, using large pre-trained video models that already capture physical motion and dynamics. The idea is straightforward: let the video model handle “what will happen next,” and let a smaller control model focus only on turning that visual plan into robot actions. The result is big gains in practice. Robots trained this way need 10× less data, converge twice as fast, and perform better on both simulated benchmarks and real bimanual manipulation tasks. If robots can “imagine” motion using video, control becomes a much simpler problem. Shoutout to Jonas Pai, Liam Achenbach, Oier Mees, Elvis Nava and the rest of the team! Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:47

Robots might learn better from video than from language! 📼 Most Vision-Language-Action (VLA) models learn what to do from text, but still struggle with how things move in the real world. That makes them data-hungry and slow to train. mimic video takes a different route. Instead of grounding robot control in text, it grounds it in video, using large pre-trained video models that already capture physical motion and dynamics. The idea is straightforward: let the video model handle “what will happen next,” and let a smaller control model focus only on turning that visual plan into robot actions. The result is big gains in practice. Robots trained this way need 10× less data, converge twice as fast, and perform better on both simulated benchmarks and real bimanual manipulation tasks. If robots can “imagine” motion using video, control becomes a much simpler problem. Shoutout to Jonas Pai, Liam Achenbach, Oier Mees, Elvis Nava and the rest of the team! Here's the project page: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

50,063 görüntüleme • 7 ay önce

Japan Just Built a HouseBot You Control Without Speaking and It Changes Everything! Donut Robotics has officially unveiled its first bipedal humanoid, Cinnamon 1, and instead of focusing on louder voices or bigger motors, the company went in the opposite direction. Silence. Cinnamon 1 introduces what Donut Robotics calls Silent Gesture Control, a system that allows the humanoid to be guided using simple hand and finger movements rather than spoken commands. This approach feels especially well suited for real world environments where traditional voice control falls apart. Busy factory floors. Construction sites filled with constant noise. Even quiet indoor settings where voice commands feel awkward or intrusive. It also opens the door for far more accessible human robot interaction, particularly for users with impairments. While the current Cinnamon 1 hardware is built on an OEM platform, the intelligence driving it is where Donut Robotics is placing its long term bet. The team is actively developing custom Vision Language Action AI that allows the robot to interpret what it sees, understand intent, and respond with physical action. The goal is not just smarter robots, but robots that feel more natural. Even more ambitious is the company’s plan for full domestic production. Donut Robotics has stated its intention to localize both manufacturing and AI development in Japan, reinforcing the country’s reputation for precision engineering and thoughtful robotics design. If timelines hold, Cinnamon 1 units are expected to begin deployment in factories and construction environments by the end of 2026. That puts this humanoid squarely in the category of near term reality rather than distant concept. The takeaway is simple but important. As humanoid robots move out of labs and into daily work environments, the winners may not be the loudest or flashiest machines. They may be the ones that understand us without a word being spoken.
0:31

Japan Just Built a HouseBot You Control Without Speaking and It Changes Everything! Donut Robotics has officially unveiled its first bipedal humanoid, Cinnamon 1, and instead of focusing on louder voices or bigger motors, the company went in the opposite direction. Silence. Cinnamon 1 introduces what Donut Robotics calls Silent Gesture Control, a system that allows the humanoid to be guided using simple hand and finger movements rather than spoken commands. This approach feels especially well suited for real world environments where traditional voice control falls apart. Busy factory floors. Construction sites filled with constant noise. Even quiet indoor settings where voice commands feel awkward or intrusive. It also opens the door for far more accessible human robot interaction, particularly for users with impairments. While the current Cinnamon 1 hardware is built on an OEM platform, the intelligence driving it is where Donut Robotics is placing its long term bet. The team is actively developing custom Vision Language Action AI that allows the robot to interpret what it sees, understand intent, and respond with physical action. The goal is not just smarter robots, but robots that feel more natural. Even more ambitious is the company’s plan for full domestic production. Donut Robotics has stated its intention to localize both manufacturing and AI development in Japan, reinforcing the country’s reputation for precision engineering and thoughtful robotics design. If timelines hold, Cinnamon 1 units are expected to begin deployment in factories and construction environments by the end of 2026. That puts this humanoid squarely in the category of near term reality rather than distant concept. The takeaway is simple but important. As humanoid robots move out of labs and into daily work environments, the winners may not be the loudest or flashiest machines. They may be the ones that understand us without a word being spoken.

The AI Robot Guy on X

257,928 görüntüleme • 6 ay önce

JUST IN: Unitree Robotics just unveiled the GD01, a manned "mecha" robot that transforms between two legs and four legs in real time. This is not a concept. This is a product. Starting price: $574,000. This robot weighs 500kg, is built from high-strength alloy, and has a torso-mounted cockpit. The demo video shows it walking upright, knocking down a brick wall with its hand, then reconfiguring into a four-legged crawl. Unitree calls it the world's first mass-produced transformable mecha. But the real story here is the bigger picture. Chinese companies accounted for nearly 90% of global humanoid robot sales in 2025. Unitree alone shipped 5,500+ humanoid robots last year. In the same period, Tesla, Figure AI and Agility Robotics each shipped around 150. And Unitree is now filing for an IPO on Shanghai's Star Market, targeting 4.2 billion yuan, 85% of which goes straight into R&D. The West is building incredible humanoid robots. China is building them faster, cheaper and at a scale nobody else is close to matching. Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
1:06

JUST IN: Unitree Robotics just unveiled the GD01, a manned "mecha" robot that transforms between two legs and four legs in real time. This is not a concept. This is a product. Starting price: $574,000. This robot weighs 500kg, is built from high-strength alloy, and has a torso-mounted cockpit. The demo video shows it walking upright, knocking down a brick wall with its hand, then reconfiguring into a four-legged crawl. Unitree calls it the world's first mass-produced transformable mecha. But the real story here is the bigger picture. Chinese companies accounted for nearly 90% of global humanoid robot sales in 2025. Unitree alone shipped 5,500+ humanoid robots last year. In the same period, Tesla, Figure AI and Agility Robotics each shipped around 150. And Unitree is now filing for an IPO on Shanghai's Star Market, targeting 4.2 billion yuan, 85% of which goes straight into R&D. The West is building incredible humanoid robots. China is building them faster, cheaper and at a scale nobody else is close to matching. Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

11,580 görüntüleme • 2 ay önce

In a recent interview, Jensen Huang, the CEO of NVIDIA, pointed out that China has three unique advantages in developing robots, and his insights have drawn widespread attention in the tech world. First, China has outstanding AI technology. With a large number of excellent AI researchers and continuous innovation, China has made remarkable achievements in AI algorithms, machine learning, and other aspects. These advancements lay a solid foundation for the intelligent development of robots. Second, China excels in mechatronics. The combination of mechanical and electrical technologies allows Chinese - made robots to have better physical performance, more precise movement control, and higher reliability, making them more competitive in the global market. Last but not least, China's huge manufacturing base provides broad application scenarios for robots. From large - scale industrial production lines to various service industries, robots can be widely deployed, which promotes the continuous improvement of robot technology through large - scale practical applications. With these three powerful advantages, China is set to play a leading role in the global robotics field. It's exciting to look forward to the brilliant future of China's robotics development. 新浪科技 #Robotics #NVIDIA #JensenHuang #AI #ArtificialIntelligence
0:34

In a recent interview, Jensen Huang, the CEO of NVIDIA, pointed out that China has three unique advantages in developing robots, and his insights have drawn widespread attention in the tech world. First, China has outstanding AI technology. With a large number of excellent AI researchers and continuous innovation, China has made remarkable achievements in AI algorithms, machine learning, and other aspects. These advancements lay a solid foundation for the intelligent development of robots. Second, China excels in mechatronics. The combination of mechanical and electrical technologies allows Chinese - made robots to have better physical performance, more precise movement control, and higher reliability, making them more competitive in the global market. Last but not least, China's huge manufacturing base provides broad application scenarios for robots. From large - scale industrial production lines to various service industries, robots can be widely deployed, which promotes the continuous improvement of robot technology through large - scale practical applications. With these three powerful advantages, China is set to play a leading role in the global robotics field. It's exciting to look forward to the brilliant future of China's robotics development. 新浪科技 #Robotics #NVIDIA #JensenHuang #AI #ArtificialIntelligence

Zhang Heqing

11,384 görüntüleme • 1 yıl önce

Magnetic levitation for surgical robots! 🧲 A research team working on minimally invasive surgery just introduced a remote magnetic levitation to move things inside our bodies. Their main goal is to control guidewires and catheters inside the body using magnetic fields. But levitation is unstable and extreme, it forces them to solve fundamental control problems they can't avoid. They have to handle strong magnetic field nonlinearities, develop real-time invertible models, and create control methods that work on any eMNS (electroMagnetic Navigation System) and any object. The real challenge is the position and orientation feedback. You can control a magnet outside the body, but once a catheter or drug-delivery robot is inside a patient, you can't see it. There's no vision, but just magnetic fields and current measurements. That's huge news coming out of ETH Zurich! Here's the paper: Mentioned all authors on Li, but coulnd't find them here! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
0:20

Magnetic levitation for surgical robots! 🧲 A research team working on minimally invasive surgery just introduced a remote magnetic levitation to move things inside our bodies. Their main goal is to control guidewires and catheters inside the body using magnetic fields. But levitation is unstable and extreme, it forces them to solve fundamental control problems they can't avoid. They have to handle strong magnetic field nonlinearities, develop real-time invertible models, and create control methods that work on any eMNS (electroMagnetic Navigation System) and any object. The real challenge is the position and orientation feedback. You can control a magnet outside the body, but once a catheter or drug-delivery robot is inside a patient, you can't see it. There's no vision, but just magnetic fields and current measurements. That's huge news coming out of ETH Zurich! Here's the paper: Mentioned all authors on Li, but coulnd't find them here! ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

120,803 görüntüleme • 1 ay önce

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 görüntüleme • 5 ay önce

Something must change in robotics! 😖 As more billion-dollar players enter the space, more systems are closing off. APIs move behind paywalls, platforms lock down, and robots turn into black boxes. Pollen Robotics is taking the opposite route. With Reachy 2, everything is open: the code, the CAD files, the ROS 2 interfaces, the communication stack. If you want to swap the camera, redesign the gripper, or fork the whole system, you can, and that’s the point. It creates a culture where universities can run real experiments without licensing drama, and startups can prototype without waiting for vendor permission. Clone it on GitHub. Add behaviors. Share datasets. Fork the models. Push improvements upstream. The Hugging Face influence is real. It’s two open ecosystems aligning around the same idea: robotics should be built by more than a handful of companies. It was so cool to meet the team behind Reachy 2 in Bordeaux! 🔥 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
1:16

Something must change in robotics! 😖 As more billion-dollar players enter the space, more systems are closing off. APIs move behind paywalls, platforms lock down, and robots turn into black boxes. Pollen Robotics is taking the opposite route. With Reachy 2, everything is open: the code, the CAD files, the ROS 2 interfaces, the communication stack. If you want to swap the camera, redesign the gripper, or fork the whole system, you can, and that’s the point. It creates a culture where universities can run real experiments without licensing drama, and startups can prototype without waiting for vendor permission. Clone it on GitHub. Add behaviors. Share datasets. Fork the models. Push improvements upstream. The Hugging Face influence is real. It’s two open ecosystems aligning around the same idea: robotics should be built by more than a handful of companies. It was so cool to meet the team behind Reachy 2 in Bordeaux! 🔥 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

21,046 görüntüleme • 8 ay önce

LIGHTYEAR ROBOTICS has officially launched the M1, their first wheeled-legged robot. The M1 utilizes a self-developed parallel joint drive module, achieving a 40% efficiency increase over traditional structures while keeping the body lightweight. The design balances two core performance features: off-road mobility and high-speed cruising, enabling it to navigate complex environments like grass, gravel, and steep slopes using its all-scenario intelligent perception and autonomous navigation system. The robot is primarily aimed at enterprise applications, providing unmanned and highly reliable solutions for tasks ranging from outdoor inspection and emergency detection to material transport in challenging environments. #AI #HumanoidRobot #EmbodiedAI
1:23

LIGHTYEAR ROBOTICS has officially launched the M1, their first wheeled-legged robot. The M1 utilizes a self-developed parallel joint drive module, achieving a 40% efficiency increase over traditional structures while keeping the body lightweight. The design balances two core performance features: off-road mobility and high-speed cruising, enabling it to navigate complex environments like grass, gravel, and steep slopes using its all-scenario intelligent perception and autonomous navigation system. The robot is primarily aimed at enterprise applications, providing unmanned and highly reliable solutions for tasks ranging from outdoor inspection and emergency detection to material transport in challenging environments. #AI #HumanoidRobot #EmbodiedAI

RoboHub🤖

25,689 görüntüleme • 9 ay önce

What if a robotic joint could move in almost any direction? ⚙️🤖 Researchers in Japan developed an innovative active ball joint mechanism that rethinks how machines generate motion. Unlike conventional joints with fixed axes, this design enables highly flexible movement from a compact structure, opening new possibilities for robotics, medical devices, and advanced machinery. Potential applications include: 🔹 Dexterous robotic manipulators 🔹 Surgical and medical systems 🔹 Humanoid robots 🔹 Precision manufacturing equipment 🔹 Next-generation mechanical designs Sometimes the biggest breakthroughs aren't new robots. They're the components that make future robots possible. Could mechanisms like this become the foundation of more human-like robotic movement? 🎥 Media: Yamagata University ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators. #Robotics #Engineering #Innovation #MechanicalEngineering #RobotDesign #Automation #FutureTech #AdvancedManufacturing #Technology
0:58

What if a robotic joint could move in almost any direction? ⚙️🤖 Researchers in Japan developed an innovative active ball joint mechanism that rethinks how machines generate motion. Unlike conventional joints with fixed axes, this design enables highly flexible movement from a compact structure, opening new possibilities for robotics, medical devices, and advanced machinery. Potential applications include: 🔹 Dexterous robotic manipulators 🔹 Surgical and medical systems 🔹 Humanoid robots 🔹 Precision manufacturing equipment 🔹 Next-generation mechanical designs Sometimes the biggest breakthroughs aren't new robots. They're the components that make future robots possible. Could mechanisms like this become the foundation of more human-like robotic movement? 🎥 Media: Yamagata University ⚠️ This content is shared for informational purposes only. CTO Robotics Media is a media platform and does not own or develop the technology shown. Credit belongs to the original creators. #Robotics #Engineering #Innovation #MechanicalEngineering #RobotDesign #Automation #FutureTech #AdvancedManufacturing #Technology

CTO ROBOTICS Media

28,490 görüntüleme • 1 ay önce

Should humanoids have tails? Current legged robots struggle with center of mass control and quick stabilization. Adding more DOF to legs gets complicated fast. Nature already solved this: Cheetahs, kangaroos, dinosaurs – they use tails for dynamic balance, sharp turns, and recovery from unexpected shifts. The robotics insight? Let the tail handle it. Virginia Tech built serpentine tails that compensate in real-time – so bipeds and quadrupeds can handle ledges, lateral shifts, and turns without rewriting their entire gait. Simple solution. Obvious in hindsight. 🦖🤖
0:23

Should humanoids have tails? Current legged robots struggle with center of mass control and quick stabilization. Adding more DOF to legs gets complicated fast. Nature already solved this: Cheetahs, kangaroos, dinosaurs – they use tails for dynamic balance, sharp turns, and recovery from unexpected shifts. The robotics insight? Let the tail handle it. Virginia Tech built serpentine tails that compensate in real-time – so bipeds and quadrupeds can handle ledges, lateral shifts, and turns without rewriting their entire gait. Simple solution. Obvious in hindsight. 🦖🤖

Jack 🤖

277,675 görüntüleme • 9 ay önce