Learning to Walk With Toes
- This paper explains how a model-free (with respect to the robot model and the behavior to learn) approach can facilitate learning to walk from scratch. It is applied to a simulated Nao robot with toes. Results show an improvement of 30% in speed compared to a model without toes and also compared to our model-based approach, but with less stability.
| Document Type: | Conference Proceeding |
|---|---|
| Conference Type: | Konferenzartikel |
| Zitierlink: | https://opus.hs-offenburg.de/7107 | Bibliografische Angaben |
| Title (English): | Learning to Walk With Toes |
| Conference: | The Upper-Rhine Artificial Intelligence Symposium (UR-AI 2020), Karlsruhe, 13th May 2020 |
| Author: | Jens Fischer GND, Klaus DorerStaff MemberORCiDGND |
| Year of Publication: | 2020 |
| Creating Corporation: | Hochschule Offenburg |
| First Page: | 3 |
| Last Page: | 11 |
| Parent Title (English): | Artificial Intelligence : Research Impact on Key Industries. Proceedings of the Upper-Rhine Artificial Intelligence Symposium |
| Editor: | Andreas Christ, Franz Quint |
| ISBN: | 978-3-943301-29-8 (eBook) |
| ISBN: | 978-3-943301-28-1 (Print) |
| Language: | English | Inhaltliche Informationen |
| Institutes: | Fakultät Elektrotechnik und Informationstechnik (E+I) (bis 03/2019) |
| Institutes: | Bibliografie |
| Projekte / Magma Offenburg | |
| Tag: | genetic algorithms; humanoid robot walking; machine learning | Formale Angaben |
| Open Access: | Open Access |
| Diamond | |
| Licence (German): |  Creative Commons - CC BY - Namensnennung 4.0 International |
| ArXiv Id: | http://arxiv.org/abs/2010.16241 |