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Overview
Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. IEEE Spectrum — Robotics: This Disembodied Hand Is All the Robot You Need. Researchers from ETH Zurich have developed a self-contained robotic hand that can walk on its fingertips and manipulate objects, using reinforcement learning and off-the-shelf hardware. The hand can navigate different su…
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0 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Reported quantity · number of trials: 25 other · Basis not reported
“witch between them as necessary. In real-world tests, the hand crawled across 14 different surfaces including smooth floors, metal grates, grass, and gravel. Other experiments confirmed that it could make both right and left turns, and hit an average speed of 9 centimeters per second. The hand was able to right itself in 21 of 25 trials. When given a video feed from an overhead camera, it even managed to autonomously”
Exact source · revision 3Source owner not reported
Reported quantity · number of consecutive pushes: 15 other · Basis not reported
“push a 41-gram cube to targets up to 40 cm away 15 times in a row. “What interests me most about this work is that the same fingers can move the hand, support its weight, and interact with its surroundings,” says Masahiko Inami , a professor at The University of Tokyo whose group has developed hand-shaped walking robots . He agrees that a mobile hand could be useful for reaching confined spaces and operating control”
Exact source · revision 3Source owner not reported
Reported quantity · weight of cube: 41 other · Basis not reported
“push a 41-gram cube to targets up to 40 cm away 15 times in a row. “What interests me most about this work is that the same fingers can move the hand, support its weight, and interact with its surroundings,” says Masahiko Inami , a professor at The University of Tokyo whose group has developed hand-shaped walking robots . He agrees that a mobile hand could be useful for reaching confined spaces and operating control”
Exact source · revision 3Source owner not reported
Reported quantity · distance to targets: 40 other · Basis not reported
“push a 41-gram cube to targets up to 40 cm away 15 times in a row. “What interests me most about this work is that the same fingers can move the hand, support its weight, and interact with its surroundings,” says Masahiko Inami , a professor at The University of Tokyo whose group has developed hand-shaped walking robots . He agrees that a mobile hand could be useful for reaching confined spaces and operating control”
Exact source · revision 3Source owner not reported
Reported quantity · number of surfaces: 14 other · Basis not reported
“witch between them as necessary. In real-world tests, the hand crawled across 14 different surfaces including smooth floors, metal grates, grass, and gravel. Other experiments confirmed that it could make both right and left turns, and hit an average speed of 9 centimeters per second. The hand was able to right itself in 21 of 25 trials. When given a video feed from an overhead camera, it even managed to autonomously”
Exact source · revision 3Source owner not reported
Reported quantity · number of models: 4 other · Basis not reported
“rd and backward are significantly less than those for moving side-to-side, so taking steps in that way costs the hand very little compared with the rewards it receives for moving. The team also trained separate models for skills like righting the hand when it falls over, pressing keys on a keyboard, and pushing objects to a target. All four models fit on the onboard computer, says Kazemipour, and the controller can s”
Exact source · revision 3Source owner not reported
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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.'
- IEEE Spectrum — RoboticsSignalThis Disembodied Hand Is All the Robot You Need
Researchers from ETH Zurich have developed a self-contained robotic hand that can walk on its fingertips and manipulate objects, using reinforcement learning and off-the-shelf hardware. The hand can navigate different surfaces, right itself, and push objects autonomously, suggesting new possibilities for modular and autonomous robotic systems.
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