By learning from human touch, robots can grip objects more safely and adapt to real-world conditions without massive training data.
Interesting Engineering on MSN
Robotic joints inspired by human knees correct 99% misalignment, grip 3× more
Engineers at Harvard have developed a new method to design robotic joints that mimic ...
Robotiq says it has combined adaptive gripping with high-frequency tactile sensing, enabling robots to generalize across objects.
Engineers from Britain implemented a novel approach to improve how robots grip and handle fragile, slippery or asymmetric objects. The breakthrough slip-prevention method shows impressive results and ...
Microsoft introduces Rho-alpha, an AI that understands human commands and controls two-armed robots with near-human precision.
Forget Thing T. Thing from The Addams Family; modern science has officially brought us a detachable robot hand that can ...
Recent research at Kennesaw State University is working to create robots that better understand movement, touch, and ...
Can robots grasp diverse objects adaptively like humans? Published in National Science Review, researchers from Tsinghua University reports a human-taught sensory-control synergy approach that ...
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