Robust control of CPG-based 3D neuromusculoskeletal walking model

Biol Cybern. 2011 Oct;105(3-4):269-82. doi: 10.1007/s00422-011-0464-4. Epub 2011 Dec 3.

Abstract

This paper proposes a method for enhancing the robustness of the central pattern generator (CPG)-based three-dimensional (3D) neuromusculoskeletal walking controller. The CPG has been successfully applied to walking controllers and controllers for walking robots. However, the robustness of walking motion with the CPG-based controller is not sufficient, especially when subjected to external forces or environmental variations. To achieve a realistic and stable walking motion of the controller, we propose the use of an attracting controller in parallel with the CPG-based controller. The robustness of the proposed controller is confirmed through simulation results.

MeSH terms

  • Computer Simulation*
  • Humans
  • Models, Neurological*
  • Neural Networks, Computer*
  • Walking / physiology*