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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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Bibliografische gegevens
Gepubliceerd in:Sensors (Basel)
Hoofdauteurs: Yu, Xiaoqiang, Wang, Ping, Zhang, Zexu
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI 2021
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Online toegang: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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