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Learning human arm movements by imitation: Evaluation of biologicallyinspired connectionist architectureby: A. Billard, M. Mataric
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Abstract. This paper evaluates a model of human imitation of abstract, two-arm movements. The model consists of a hierarchy of artificial neural networks, which are abstractions of brain regions involved in visuo-motor control. The model is validated in a biomechanical simulation of a 37 degree of freedom humanoid. Input to the model are data from human arm movements recorded using video and marker-based tracking systems. Results show a high qualitative and quantitative agreement with human data. ...
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