Abstract
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.
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Mahdavi, S.H., Bentley, P.J. (2003). An Evolutionary Approach to Damage Recovery of Robot Motion with Muscles. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds) Advances in Artificial Life. ECAL 2003. Lecture Notes in Computer Science(), vol 2801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39432-7_27
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DOI: https://doi.org/10.1007/978-3-540-39432-7_27
Publisher Name: Springer, Berlin, Heidelberg
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