Abstract
Learning to perform complex tasks out of a sequence of simple small demonstrations is a key ability for more flexible robots. In this paper, we present a system that allows for the acquisition of such task executions based on dynamical movement primitives (DMPs). DMPs are a successful approach to encode and generalize robot movements. However, current applications involving DMPs mainly explore movements that, although challenging in terms of dexterity and dimensionality, usually comprise a single continuous movement. This article describes the implementation of a novel system that allows sequencing of simple demonstrations, each one encoded by its own DMP, to achieve a bimanual manipulation task that is too complex to be demonstrated with a single teaching action. As the experimental results show, the resulting system can successfully accomplish a sequenced task of grasping, placing and cutting a vegetable using a setup of a bimanual robot.
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Acknowledgments
The research leading to these results has received funding from the European Community’s Seventh Framework Programme (FP7-ICT-2013-10) under grant agreement 610878 (3rdHand).
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Lioutikov, R., Kroemer, O., Maeda, G., Peters, J. (2016). Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot. In: Menegatti, E., Michael, N., Berns, K., Yamaguchi, H. (eds) Intelligent Autonomous Systems 13. Advances in Intelligent Systems and Computing, vol 302. Springer, Cham. https://doi.org/10.1007/978-3-319-08338-4_115
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DOI: https://doi.org/10.1007/978-3-319-08338-4_115
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