Predator-Prey Reward Based Q-Learning Coverage Path Planning for Mobile Robot.
Meiyan ZhangWenyu CaiLingfeng PangPublished in: IEEE Access (2023)
Keyphrases
- path planning
- predator prey
- mobile robot
- multi agent
- reinforcement learning
- potential field
- obstacle avoidance
- cellular automata
- robot soccer
- multi robot
- agent learns
- lotka volterra
- path planning algorithm
- real robot
- indoor environments
- reward function
- collision avoidance
- dynamic environments
- autonomous navigation
- motion planning
- mathematical modeling
- autonomous robots
- path planner
- learning agent
- learning algorithm
- unknown environments
- robotic systems
- autonomous vehicles
- action selection
- particle swarm
- navigation tasks
- optimal path
- optimal policy
- degrees of freedom
- multiple robots
- state space
- neural network
- collision free
- real time
- simultaneous localization and mapping
- dynamic and uncertain environments