Learning Mobile Manipulation through Deep Reinforcement Learning

Mobile manipulation has a broad range of applications in robotics. However, it is usually more challenging than fixed-base manipulation due to the complex coordination of a mobile base and a manipulator. Although recent works have demonstrated that deep reinforcement learning is a powerful technique...

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Detalles Bibliográficos
Autores principales: Wang, Cong, Zhang, Qifeng, Tian, Qiyan, Li, Shuo, Wang, Xiaohui, Lane, David, Petillot, Yvan, Wang, Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039391/
https://www.ncbi.nlm.nih.gov/pubmed/32050678
http://dx.doi.org/10.3390/s20030939

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039391/
https://www.ncbi.nlm.nih.gov/pubmed/32050678
http://dx.doi.org/10.3390/s20030939

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