Supervised-Reinforcement Learning (SRL) Approach for Efficient Modular Path Planning.
Marawan Azmy HebaishAhmed HusseinAmr ElmougyPublished in: ITSC (2022)
Keyphrases
- path planning
- reinforcement learning
- collision avoidance
- path planning algorithm
- mobile robot
- obstacle avoidance
- learning algorithm
- dynamic environments
- multi robot
- supervised learning
- path finding
- motion planning
- robot path planning
- potential field
- dynamic and uncertain environments
- degrees of freedom
- markov decision processes
- optimal path
- autonomous vehicles
- landmark recognition
- multi agent
- indoor environments
- heuristic search
- autonomous navigation
- search and rescue
- dynamic programming
- navigation tasks
- evolutionary algorithm
- dead ends
- objective function