Innately adaptive robotics through embodied evolution

  • Authors:
  • Siavash Haroun Mahdavi;Peter J. Bentley

  • Affiliations:
  • Department of Computer Science, University College London, London, UK WC1E 6BT;Department of Computer Science, University College London, London, UK WC1E 6BT

  • Venue:
  • Autonomous Robots
  • Year:
  • 2006

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Abstract

Autonomous adaptation in robots has become recognised as crucial for devices deployed in remote or inhospitable environments. The aim of this work is to investigate autonomous robot adaptation, focussing on damage recovery and adaptation to unknown environments. An embodied evolutionary algorithm is introduced and its capabilities demonstrated with experimental results. This algorithm is shown to be able to control the motion of a robot snake effectively; this same algorithm inherently recovers the snake's motion after damage. Another experiment shows that the algorithm is capable of contorting a shape-changing antenna in such a way as to minimise the affect of background noise on it, thus allowing the antenna to achieve a better signal.