A Lightweight Reinforcement-Learning-Based Real-Time Path-Planning Method for Unmanned Aerial Vehicles.
Meng XiHuiao DaiJingyi HeWenjie LiJiabao WenShuai XiaoJiachen YangPublished in: IEEE Internet Things J. (2024)
Keyphrases
- path planning
- lightweight
- real time
- unmanned aerial vehicles
- optimal path
- aerial vehicles
- path planning algorithm
- potential field
- path planner
- mobile robot
- search and rescue
- reinforcement learning
- dynamic environments
- obstacle avoidance
- autonomous vehicles
- collision avoidance
- robot path planning
- multiple objects
- dynamic programming
- decision making