Automated Optimization of Walking Parameters for the Nao Humanoid Robot

Conference paper (2013)
Copyright: © 2013 Girardi, N.; Kooijman, C.; Wiggers, A.J.; Visser, A.
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Published Date

07-11-2013

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Abstract

This paper describes a framework for optimizing walking parameters for a Nao humanoid robot. In this case an omnidirectional walk is learned. The parameters are learned in simulation with an evolutionary approach. The best performance was obtained for a combination of a low mutation rate and a high crossover rate.

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