A novel reinforcement learning based grey wolf optimizer algorithm for unmanned aerial vehicles (UAVs) path planning.
Chengzhi QuWendong GaiMaiying ZhongJing ZhangPublished in: Appl. Soft Comput. (2020)
Keyphrases
- path planning
- unmanned aerial vehicles
- mobile robot
- path planning algorithm
- multi robot
- optimal path
- path finding
- aerial vehicles
- collision avoidance
- dynamic environments
- obstacle avoidance
- search and rescue
- dynamic and uncertain environments
- reinforcement learning
- indoor environments
- autonomous systems
- dynamic programming
- detection algorithm
- potential field
- optimal solution
- degrees of freedom
- autonomous vehicles
- configuration space
- motion planning
- path planner
- real robot
- state space
- autonomous navigation
- control algorithm
- moving objects
- search algorithm
- robot path planning
- multi agent