Q-Learning based system for Path Planning with Unmanned Aerial Vehicles swarms in obstacle environments.
Alejandro Puente-CastroDaniel RiveroEurico Farinha PedrosaArtur PereiraNuno LauEnrique Fernández-BlancoPublished in: Expert Syst. Appl. (2024)
Keyphrases
- path planning
- unmanned aerial vehicles
- dynamic environments
- mobile robot
- potential field
- cooperative
- search and rescue
- path planning algorithm
- collision avoidance
- autonomous robots
- autonomous systems
- multi robot
- obstacle avoidance
- reinforcement learning
- motion planning
- dynamic and uncertain environments
- aerial vehicles
- autonomous navigation
- autonomous agents
- robot path planning
- path finding
- path planner
- robotic systems
- multi agent
- autonomous vehicles
- state space
- real time
- optimal path
- multiple robots
- optimal solution
- unknown environments
- decision making
- robot control
- real robot
- human operators