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Unlike most robot grippers, human hands are versatile manipulators: they are soft, compliant, dexterous, and can be used for multiple tasks at once. We want robotic hands to be similarly versatile. Therefore, investigations of different feature encodings, sample-efficient learning algorithms, appropriate simulation environments and various kinds of hand sensorization are employed to tackle the problem of In-Hand-Manipulation.
mehr zu: In-Hand Manipulation