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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144338/ https://www.ncbi.nlm.nih.gov/pubmed/35632257 http://dx.doi.org/10.3390/s22103847 |