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This article studied a learning-based approach to learn grasping policies from teleoperated human demonstrations, which can achieve adaptive grasping using three different neural network (NN) ...
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Human hands are able to grasp a wide range of object sizes, shapes, and weights, achieved via reshaping and altering their apparent grasping stiffness between compliant power and rigid precision.