Cargando…
Research on the Multiagent Joint Proximal Policy Optimization Algorithm Controlling Cooperative Fixed-Wing UAV Obstacle Avoidance
Multiple unmanned aerial vehicle (UAV) collaboration has great potential. To increase the intelligence and environmental adaptability of multi-UAV control, we study the application of deep reinforcement learning algorithms in the field of multi-UAV cooperative control. Aiming at the problem of a non...
Autores principales: | Zhao, Weiwei, Chu, Hairong, Miao, Xikui, Guo, Lihong, Shen, Honghai, Zhu, Chenhao, Zhang, Feng, Liang, Dongxin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7471982/ https://www.ncbi.nlm.nih.gov/pubmed/32823783 http://dx.doi.org/10.3390/s20164546 |
Ejemplares similares
-
Cooperative Obstacle Avoidance for Multiple UAVs Using Spline_VO Method
por: Peng, Mingzhu, et al.
Publicado: (2022) -
Consensus, cooperative learning, and flocking for multiagent predator avoidance
por: Young, Zachary, et al.
Publicado: (2020) -
Intelligent Beetle Antennae Search for UAV Sensing and Avoidance of Obstacles
por: Wu, Qing, et al.
Publicado: (2019) -
Curvature Continuous and Bounded Path Planning for Fixed-Wing UAVs
por: Wang, Xiaoliang, et al.
Publicado: (2017) -
Development of flapping wing robot and vision-based obstacle avoidance strategy
por: Park, Heetae, et al.
Publicado: (2023)