Action Understanding and Imitation Learning in a Robot-Human Task

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.

• 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
• Keywords: Action Observation/execution Studies, ICANN 2005, Imitation Paradigm, Inferred End State