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From Motor Learning to Interaction Learning in Robots

Olivier Sigaud; Jan Peters
In: Olivier Sigaud; Jan Peters (Hrsg.). From Motor Learning to Interaction Learning in Robots. Pages 1-12, Studies in Computational Intelligence, Vol. 264, Springer, 2010.


The number of advanced robot systems has been increasing in recent years yielding a large variety of versatile designs with many degrees of freedom. These robots have the potential of being applicable in uncertain tasks outside wellstructured industrial settings. However, the complexity of both systems and tasks is often beyond the reach of classical robot programming methods. As a result, a more autonomous solution for robot task acquisition is needed where robots adaptively adjust their behaviour to the encountered situations and required tasks.

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