A Path-Planning Approach Based on Potential and Dynamic Q-Learning for Mobile Robots in Unknown Environment

The path-planning approach plays an important role in determining how long the mobile robots can travel. To solve the path-planning problem of mobile robots in an unknown environment, a potential and dynamic Q-learning (PDQL) approach is proposed, which combines Q-learning with the artificial potent...

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Detalles Bibliográficos
Autores principales: Hao, Bing, Du, He, Zhao, Jianshuo, Zhang, Jiamin, Wang, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9184183/
https://www.ncbi.nlm.nih.gov/pubmed/35694567
http://dx.doi.org/10.1155/2022/2540546

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9184183/
https://www.ncbi.nlm.nih.gov/pubmed/35694567
http://dx.doi.org/10.1155/2022/2540546

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