Q-Learning for Path Planning in Complex Environments: A YOLO and Vision-Based Approach.
Abduljabbar Khudhur AbduljabbarYousif Al MashhadanySameer AlgburiPublished in: SSD (2024)
Keyphrases
- autonomous navigation
- path planning
- complex environments
- potential field
- mobile robot
- dynamic environments
- collision avoidance
- autonomous agents
- sequential decision tasks
- path planning algorithm
- multi robot
- vision system
- reinforcement learning
- cooperative
- obstacle avoidance
- computer vision
- motion planning
- optimal path
- real time
- dynamic and uncertain environments
- state space
- learning algorithm
- multiple robots
- learning agents
- indoor environments
- path finding
- degrees of freedom
- path planner
- multi agent
- multi robot systems
- evolutionary algorithm
- agent learns
- aerial vehicles
- unknown environments
- long run
- dead ends
- optimal policy