Action Understanding and Imitation Learning in a Robot-Human Task

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We report results of an interdisciplinary project which aims at endowing a real robot system with the capacity for learning by goaldirected imitation. The control architecture is biologically inspired as it reﬂects recent experimental ﬁndings in action observation/execution studies. We test its functionality in variations of an imitation paradigm in which the artefact has to reproduce the observed or inferred end state of a grasping-placing sequence displayed by a human model.

Wolfram Erlhagen, Albert Mukovskiy, Estela Bicho,

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Action Observation/execution Studies | ICANN 2005 | Imitation Paradigm | Inferred End State |

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Added	27 Jun 2010
Updated	27 Jun 2010
Type	Conference
Year	2005
Where	ICANN
Authors	Wolfram Erlhagen, Albert Mukovskiy, Estela Bicho, Giorgio Panin, Csaba Kiss, Alois Knoll, Hein T. van Schie, Harold Bekkering

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Action Understanding and Imitation Learning in a Robot-Human Task

Action Observation/execution Studies | ICANN 2005 | Imitation Paradigm | Inferred End State |

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