Abstract
Task segmentation from user demonstrations is an often neglected component of robot programming by demonstration (PbD) systems. This paper presents an approach to the segmentation problem motivated by psychological findings of gestalt theory. It assumes the existence of certain “action gestalts” that correspond to basic actions a human performs. Unlike other approaches, the set of elementary actions is not prespecified, but is learned in a self-organized way by the system.
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© 2009 Springer-Verlag Berlin Heidelberg
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Pardowitz, M., Steffen, J., Ritter, H. (2009). Self-emerging Action Gestalts for Task Segmentation. In: Mertsching, B., Hund, M., Aziz, Z. (eds) KI 2009: Advances in Artificial Intelligence. KI 2009. Lecture Notes in Computer Science(), vol 5803. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04617-9_74
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DOI: https://doi.org/10.1007/978-3-642-04617-9_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04616-2
Online ISBN: 978-3-642-04617-9
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