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This paper presents a general approach to the acquisition of sensor-based robot skills from human demonstrations. Since human-generated examples cannot be assumed to be optimal with respect to the robot, adaptation of the initially acquired skill is explicitly considered. Results for acquiring and refining manipulation skills for a Puma 260 manipulator are given.
Kaiser et al. (Mon,) studied this question.