Fingers as Legs: Learning Self-Supported Locomotion and Manipulation with an WUJ
Overview
ETH Zurich researchers have developed a system where a WUJI robotic hand can crawl, recover from falls, and perform manipulation tasks without a separate mobility system. Using reinforcement learning, the hand learns to support its own weight and move using its fingers. The work was presented in a paper titled 'Fingers as Legs: Learning Self-Supported Locomotion and Manipulation with an Anthropomorphic Hand.'
From Robotics & Automation News
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- 2026-10-30T22:47:40.752Z · evidence updated · source revision 2. Evidence extraction was updated; current source attributions are shown above.
- 2026-10-30T22:47:23.474Z · evidence updated · source revision 2. Evidence extraction was updated; current source attributions are shown above.
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- Robotics & Automation NewsSignalETH Zurich scientists turn WUJI robotic hand into self-propelled mobile manipulator
ETH Zurich researchers have developed a system where a WUJI robotic hand can crawl, recover from falls, and perform manipulation tasks without a separate mobility system. Using reinforcement learning, the hand learns to support its own weight and move using its fingers. The work was presented in a paper titled 'Fingers as Legs: Learning Self-Supported Locomotion and Manipulation with an Anthropomorphic Hand.'
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