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A Simulator and First Reinforcement Learning Results for Underwater Mapping
Underwater mapping with mobile robots has a wide range of applications, and good models are lacking for key parts of the problem, such as sensor behavior. The specific focus here is the huge environmental problem of underwater litter, in the context of the Horizon 2020 SeaClear project, where a team...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322081/ https://www.ncbi.nlm.nih.gov/pubmed/35891061 http://dx.doi.org/10.3390/s22145384 |