Learn to Navigate: Cooperative Path Planning for Unmanned Surface Vehicles Using Deep Reinforcement Learning.
Xinyuan ZhouPeng WuHaifeng ZhangWeihong GuoYuanchang LiuPublished in: IEEE Access (2019)
Keyphrases
- path planning
- autonomous vehicles
- cooperative
- reinforcement learning
- unmanned aerial vehicles
- autonomous underwater vehicles
- mobile robot
- obstacle avoidance
- collision avoidance
- ground vehicles
- path planning algorithm
- motion planning
- multi agent
- multi robot
- path finding
- dynamic and uncertain environments
- configuration space
- dynamic environments
- potential field
- indoor environments
- real time
- trajectory planning
- d objects
- multi agent systems
- optimal path
- autonomous navigation
- markov decision processes
- path planner
- robot control
- aerial vehicles
- state space
- optimal policy
- autonomous systems
- collision free
- robot path planning