Consistency, not complexity, is the key to teaching robots dexterity, new research suggests

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Teaching robots to manipulate objects with humanlike dexterity has long been one of robotics' toughest challenges. Tasks such as rotating an object in-hand or coordinating two robot arms to maneuver a bulky item require constant changes in contact, grip, and motion, skills that are difficult both to program and to demonstrate through human teleoperation.
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