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Learning-Based End-to-End Path Planning for Lunar Rovers with Safety Constraints
Path planning is an essential technology for lunar rover to achieve safe and efficient autonomous exploration mission, this paper proposes a learning-based end-to-end path planning algorithm for lunar rovers with safety constraints. Firstly, a training environment integrating real lunar surface terr...
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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7866010/ https://ncbi.nlm.nih.gov/pubmed/33504073 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21030796 |
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