The Algorithm for UAV Obstacle Avoidance and Route Planning Based on Reinforcement Learning
The Algorithm for UAV Obstacle Avoidance and Route Planning Based on Reinforcement Learning
- New search for: Liu, Jiantong
- New search for: Wang, Zhengjie
- New search for: Zhang, Zhide
- New search for: Wang, Rui
- New search for: Chen, Zengqiang
- New search for: Zhang, Weicun
- New search for: Zhu, Quanmin
- New search for: Liu, Jiantong
- New search for: Wang, Zhengjie
- New search for: Zhang, Zhide
An algorithm for UAV collision avoidance based on the reinforcement learning is used for small fixed-wing unmanned aerial vehicles (UAVs). The proposed algorithm realized the obstacle avoidance of UAV in unknown environment and the result is close to the global optimal path. The simulation results show that the collision avoidance algorithm can adapt to various complex environments. Meanwhile, the UAV can quickly get close to the target while avoiding obstacles.
Document information
The Algorithm for UAV Obstacle Avoidance and Route Planning Based on Reinforcement Learning
Lect. Notes Electrical Eng.
Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019) ; Chapter : 70 ; 747-754
2019-12-04
8 pages
Article/Chapter (Book)
Electronic Resource
English
UAV , Collision avoidance , Reinforcement learning , Complex environment Engineering , Control and Systems Theory , Computational Intelligence , Robotics and Automation , Artificial Intelligence , Data-driven Science, Modeling and Theory Building , Power Electronics, Electrical Machines and Networks
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