Fast Path Planning for Unmanned Aerial Vehicles by Self-Correction Based on Q-Learning.
Ziyang WangHongbing YangQingsong WuJiafei ZhengPublished in: J. Aerosp. Inf. Syst. (2021)
Keyphrases
- path planning
- unmanned aerial vehicles
- potential field
- mobile robot
- search and rescue
- path planning algorithm
- collision avoidance
- multi robot
- reinforcement learning
- obstacle avoidance
- dynamic environments
- aerial vehicles
- motion planning
- autonomous systems
- cooperative
- multi agent
- unknown environments
- degrees of freedom
- optimal path
- multiple robots
- action selection
- autonomous vehicles
- robot path planning
- state space
- dynamic and uncertain environments
- path finding
- autonomous navigation
- collision free
- configuration space
- real time
- optimal policy
- image segmentation