RL-DOVS: Reinforcement Learning for Autonomous Robot Navigation in Dynamic Environments
Autonomous navigation in dynamic environments where people move unpredictably is an essential task for service robots in real-world populated scenarios. Recent works in reinforcement learning (RL) have been applied to autonomous vehicle driving and to navigation around pedestrians. In this paper, we...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2022-05-01
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| Col·lecció: | Sensors |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/1424-8220/22/10/3847 |
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