Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot

  • Rudolf Lioutikov
  • Oliver Kroemer
  • Guilherme Maeda
  • Jan Peters
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 302)

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.

Notes

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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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Rudolf Lioutikov
    • 1
  • Oliver Kroemer
    • 1
  • Guilherme Maeda
    • 1
  • Jan Peters
    • 1
  1. 1.Technische Universitaet DarmstadtIntelligent Autonomous Systems Hochschulstr. 10DarmstadtGermany

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