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Cerebellar Augmented Joint Control for a Humanoid Robot

  • Damien Kee
  • Gordon Wyeth
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3276)

Abstract

The joints of a humanoid robot experience disturbances of markedly different magnitudes during the course of a walking gait. Consequently, simple feedback control techniques poorly track desired joint trajectories. This paper explores the addition of a control system inspired by the architecture of the cerebellum to improve system response. This system learns to compensate the changes in load that occur during a cycle of motion. The joint compensation scheme, called Trajectory Error Learning, augments the existing feedback control loop on a humanoid robot. The results from tests on the GuRoo platform show an improvement in system response for the system when augmented with the cerebellar compensator.

Keywords

Position Error Humanoid Robot Joint Position Zero Moment Point Receptive Unit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Damien Kee
    • 1
  • Gordon Wyeth
    • 1
  1. 1.School of Information Technology and Electrical EngineeringUniversity of QueenslandAustralia

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