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I trained a grasping policy on objects of various shapes and sizes using the new mjlab feature and this really cool pivot grasp strategy emerges for large flat objects that are larger than the gripper aperture. So cool and beautiful to see!

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Kevin Zakka

18,803 subscribers

20,458 görüntüleme • 4 ay önce •via X (Twitter)

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A robot hand grasp over 500 totally new objects without fail? Zero-shot, single-view & super reliable ⬇️ + Paper Grasping random objects is hard for robots, especially when shapes, weights, and materials vary. RobustDexGrasp solves this with a smart new way of seeing and controlling the hand, leading to near-perfect grasping, even in noisy or cluttered scenes. Thank you for sharing, Hui Zhang 🙏 Follow him!! What makes it special ✅ Grabs 500+ unseen objects with 94.6% success using only single-view input ✅ Learns local shapes, not full geometry, for better generalization ✅ Trained with just 35 objects in sim but works in the real world with hundreds more ✅ Adapts to noise, unexpected forces, and even plays chess with VLM planning It shows that smart sensing and adaptive control can take dexterous grasping to the next level. Project: Paper:
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A robot hand grasp over 500 totally new objects without fail? Zero-shot, single-view & super reliable ⬇️ + Paper Grasping random objects is hard for robots, especially when shapes, weights, and materials vary. RobustDexGrasp solves this with a smart new way of seeing and controlling the hand, leading to near-perfect grasping, even in noisy or cluttered scenes. Thank you for sharing, Hui Zhang 🙏 Follow him!! What makes it special ✅ Grabs 500+ unseen objects with 94.6% success using only single-view input ✅ Learns local shapes, not full geometry, for better generalization ✅ Trained with just 35 objects in sim but works in the real world with hundreds more ✅ Adapts to noise, unexpected forces, and even plays chess with VLM planning It shows that smart sensing and adaptive control can take dexterous grasping to the next level. Project: Paper:

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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 →
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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 →

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Researchers at the University of Science and Technology of China have created an octopus-inspired robot called Spirob. It uses bioinspired soft technology to handle objects of various sizes, shapes, and weights with high accuracy. The robot is also easy and fast to produce in different sizes using 3D printing.
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Researchers at the University of Science and Technology of China have created an octopus-inspired robot called Spirob. It uses bioinspired soft technology to handle objects of various sizes, shapes, and weights with high accuracy. The robot is also easy and fast to produce in different sizes using 3D printing.

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I have been cleaning my daughter's mess for more than two years now. Last weekend our robot came to home to do the job for me. 🤖 Our new work on visual whole-body control learns a policy to coordinate the robot legs and arms for mobile manipulation. See how the legs bend on grasping objects on the ground based on visual inputs autonomously. (It is NOT teleoperation!) We again adopt a Sim2Real approach and our policy generalizes to beaches, forests, and streets in San Diego. 👇🧵

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SpiRobs morphologically replicate the logarithmic spiral that is ubiquitous in natural organisms. They are easy and fast to build across scales via 3D printing. They are actuated by cables, which allow for fast and life-like movements. Besides, a single robot can handle a wide variety of objects (in terms of size, shape, and weight). A key to this is a bioinspired grasping strategy that is found in the octopus. Finally, this work demonstrates a wide range of prototypes, including a miniaturized gripper, a manipulator mounted on a drone, and multi-robot arrays that can grasp in a tendril-like fashion. Authors: Zhanchi Wang, Nikolaos M. Freris, and Xi Wei University of Science and Technology of China Video Credit: ———————————————— Stay ahead of the curve! Follow more cutting edge robotics content, including research, reports and articles on Wevolver:

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What if drop shadows actually look like real shadows? We are using Omma to explore a new kind of canvas that employs real-light approximations rather than simple 2D drop shadows. It runs on WebGPU and uses real-time path tracing to simulate more realistic shading. It also supports SVG shapes. The Z-index defines actual depth, too (objects with a lower z-index would be affected by shadows of other objects).

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