Publication

Goal-Directed Imitation in a Humanoid Robot

Aude Billard, Sylvain Calinon, Florent Günter
2005
Conference Papers

Abstract

Our work aims at developing a robust discriminant controller for robot programming by demonstration. It addresses two core issues of imitation learning, namely "what to imitate" and "how to imitate". This paper presents a method by which a robot extracts the goals of a demonstrated task and determines the imitation strategy that satisfies best these goals. The method is validated in a humanoid platform, taking inspiration of an influential experiment from developmental psychology.

Official source

https://infoscience.epfl.ch/entities/publication/e7900189-7e8e-4a0c-8251-c7afc9fdc594

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Goal-Directed Imitation in a Humanoid Robot

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