Robust Multi-Agent Coverage Path Planning for Unmanned Airial Vehicles (UAVs) in Complex 3D Environments with Deep Reinforcement Learning.
Julian BialasMario DöllerRobert KathreinPublished in: ROBIO (2023)
Keyphrases
- path planning
- unmanned aerial vehicles
- reinforcement learning
- multi agent
- autonomous vehicles
- dynamic environments
- mobile robot
- collision avoidance
- aerial vehicles
- obstacle avoidance
- multi robot
- search and rescue
- path planning algorithm
- multi agent environments
- ground vehicles
- motion planning
- uncertain environments
- degrees of freedom
- optimal path
- multi agent systems
- coalition formation
- path planner
- robot path planning
- multiple robots
- path finding
- indoor environments
- autonomous systems
- potential field
- traffic signal control
- state space
- control algorithm
- trajectory planning
- unknown environments
- configuration space
- optimal policy
- intelligent agents
- real time
- complex environments
- multiagent systems