Print Email Facebook Twitter Automated Optimization of Walking Parameters for the Nao Humanoid Robot Part of: BNAIC 2013: Proceedings of the 25th Benelux Conference on Artificial Intelligence· list the conference papers Title Automated Optimization of Walking Parameters for the Nao Humanoid Robot Author Girardi, N. Kooijman, C. Wiggers, A.J. Visser, A. Date 2013-11-07 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. To reference this document use: http://resolver.tudelft.nl/uuid:6ce80760-9d38-48aa-9c97-01ddc7d1100a Part of collection Conference proceedings Document type conference paper Rights (c) 2013 Girardi, N.; Kooijman, C.; Wiggers, A.J.; Visser, A. Files PDF paper_69.pdf 489.72 KB Close viewer /islandora/object/uuid:6ce80760-9d38-48aa-9c97-01ddc7d1100a/datastream/OBJ/view