Automated Optimization of Walking Parameters for the Nao Humanoid Robot
| Authors |
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|---|---|
| Publication date | 2013 |
| Journal | BNAIC |
| Event | 25th Belgium-Netherlands Artificial Intelligence Conference (BNAIC 2013) |
| Volume | Issue number | 25 |
| Pages (from-to) | 72-79 |
| Organisations |
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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. |
| Document type | Article |
| Note | 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 |
| Language | English |
| Published at | http://bnaic2013.tudelft.nl/proceedings/papers/paper_69.pdf |
| Downloads |
LearningWalkingBehaviors.pdf
(Accepted author manuscript)
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| Permalink to this page | |
