An Evolutionary Approach to Damage Recovery of robot Motion with Muscles

Robots that can recover from damage did not exist outside science fiction. Here we describe a self-adaptive snake robot that uses shape memory alloy as muscles and an evolutionary algorithm as a method of adaptive control. Experiments demonstrate that if some of the robot’s muscles are deliberately damaged, evolution is able to find new sequences of muscle activations that compensate, thus enabling the robot to recover its ability to move.

[1]  Peter J. Bentley,et al.  Evolving Motion of Robots with Muscles , 2003, EvoWorkshops.

[2]  M. Matsumoto.  Shape memory alloys. , 1988 .

[3]  L. Schetky.  Shape-memory alloys , 1979 .

[4]  Wolfgang Banzhaf,et al.  Dynamical Properties of the Fitness Landscape of a GP Controlled Random Morphology Robot , 1999, GECCO.

[5]  Wei-Min Shen,et al.  Using role-based control to produce locomotion in chain-type self-reconfigurable robots , 2002 .

[6]  Pradeep K. Khosla,et al.  Towards a team of robots with reconfiguration and repair capabilities , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[7]  K. Tomita,et al.  Self-reconfigurable modular robot - experiments on reconfiguration and locomotion , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).