Anytime path planning in graduated state space.
Haojie ZhangGuangming XiongBo SuJianwei GongYan JiangHuiyan ChenWei LanPublished in: Intelligent Vehicles Symposium (2013)
Keyphrases
- path planning
- state space
- mobile robot
- path planning algorithm
- heuristic search
- collision avoidance
- dynamic environments
- markov decision processes
- reinforcement learning
- obstacle avoidance
- multi robot
- dynamic programming
- particle filter
- potential field
- optimal path
- path planner
- dynamic and uncertain environments
- motion planning
- planning problems
- landmark recognition
- navigation tasks
- indoor environments
- path finding
- robot path planning
- autonomous navigation
- optimal policy
- degrees of freedom
- search and rescue
- search space
- pattern databases
- multiple robots
- unmanned aerial vehicles
- heuristic function
- collision free
- evolutionary algorithm
- aerial vehicles
- belief state