Path Planning for Unmanned Aerial Vehicle via Off-Policy Reinforcement Learning With Enhanced Exploration.
Zhengjun WangWeifeng GaoGenghui LiZhenkun WangMaoguo GongPublished in: IEEE Trans. Emerg. Top. Comput. Intell. (2024)
Keyphrases
- path planning
- unmanned aerial vehicles
- reinforcement learning
- mobile robot
- action selection
- search and rescue
- aerial vehicles
- dynamic environments
- collision avoidance
- multi robot
- path planning algorithm
- motion planning
- optimal path
- obstacle avoidance
- indoor environments
- autonomous vehicles
- potential field
- autonomous systems
- path finding
- state space
- dynamic and uncertain environments
- robot path planning
- autonomous navigation
- navigation tasks
- path planner
- degrees of freedom
- real robot
- fuzzy rules
- dynamic programming