Searched for:
(1 - 1 of 1)
document
Girardi, N. (author), Kooijman, C. (author), Wiggers, A.J. (author), Visser, A. (author)
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.
conference paper 2013