Multimodal Deep Reinforcement Learning with Auxiliary Task for Obstacle Avoidance of Indoor Mobile Robot

It is an essential capability of indoor mobile robots to avoid various kinds of obstacles. Recently, multimodal deep reinforcement learning (DRL) methods have demonstrated great capability for learning control policies in robotics by using different sensors. However, due to the complexity of indoor...

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Detalles Bibliográficos
Autores principales: Song, Hailuo, Li, Ao, Wang, Tong, Wang, Minghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918974/
https://www.ncbi.nlm.nih.gov/pubmed/33671913
http://dx.doi.org/10.3390/s21041363

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7918974/
https://www.ncbi.nlm.nih.gov/pubmed/33671913
http://dx.doi.org/10.3390/s21041363

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