- Automated Optimization of Walking Parameters for the Nao Humanoid Robot
- Pages (from-to)
- Document type
- Faculty of Science (FNWI)
- Informatics Institute (IVI)
- 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.
- Final publisher version
- Proceedings title: Proceedings of the 25th Benelux conference on Artificial Intelligence
Publisher: Delft University of Technology
Place of publication: Delft
Editors: K. Hindriks, M. de Weerdt, B. van Riemsdijk, M. Warnier
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