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Learning of generalized manipulation strategies in the context of Programming by Demonstration

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5 Author(s)
Rainer Jäkel ; Institute for Anthropomatics, Karlsruhe Institute of Technology, 76131, Germany ; Sven R. Schmidt-Rohr ; Martin Lösch ; Alexander Kasper
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In Programming by Demonstration, abstract manipulation knowledge has to be learned, that can be used by an autonomous robot system in different environments with arbitrary obstacles. In this work, manipulation strategies are learned by observation of a human teacher and represented as a flexible, constraint-based representation of the search space for motion planning. The learned manipulation strategy contains a large set of automatically generated features, which are generalized using additional demonstrations of the teacher. The generalized manipulation strategy is executed on a real bimanual anthropomorphic robot system in different environments with arbitrary obstacles using constrained motion planning.

Published in:

2010 10th IEEE-RAS International Conference on Humanoid Robots

Date of Conference:

6-8 Dec. 2010