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Robotic hand combines sense of touch with algorithms to achieve high level of dexterity
This robotic hand combines an advanced sense of touch with motor-learning algorithms to achieve a high level of dexterity. Because the hand does not rely on vision, it can manipulate objects in very difficult lighting conditions.
[Research supported by U.S. National Science Foundation grant CMMI 2037101.]
Learn more in the Columbia University news release Highly dexterous robot hand can operate in the dark — just like us. (Date of image: April 2023; date originally posted to NSF Multimedia Gallery: May 7, 2023)
Credit: Columbia University ROAM Lab
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