Evolution of central pattern generators for bipedal walking in areal-time physics environment

  • Authors:
  • T. Reil;P. Husbands

  • Affiliations:
  • Dept. of Zoology, Oxford Univ.;-

  • Venue:
  • IEEE Transactions on Evolutionary Computation
  • Year:
  • 2002

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Abstract

We describe an evolutionary approach to the control problem of bipedal walking. Using a full rigid-body simulation of a biped, it was possible to evolve recurrent neural networks that controlled stable straight-line walking on a planar surface. No proprioceptive information was necessary in order to achieve this task. Furthermore, simple sensory input to locate a sound source was integrated to achieve directional walking. To our knowledge, this is the first work that demonstrates the application of evolutionary optimization to 3D physically simulated biped locomotion