Most tasks in real world scenarios require contacts with the environment. For example, the task of opening a door requires contact between the robot gripper and the door handle. In this paper, we address learning from demonstration for the case of manipulation that incorporates contacts. Specifically, we want to extract from demonstrations how to represent and execute manipulations in such a way that the robot can perform such tasks in a robust and general manner.
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