Receding-Horizon Reinforcement Learning Approach for Kinodynamic Motion Planning of Autonomous Vehicles.
Xinglong ZhangYan JiangYang LuXin XuPublished in: IEEE Trans. Intell. Veh. (2022)
Keyphrases
- motion planning
- autonomous vehicles
- receding horizon
- path planning
- obstacle avoidance
- reinforcement learning
- formation control
- unmanned aerial vehicles
- mobile robot
- collision avoidance
- multi robot
- robot control
- air traffic control
- degrees of freedom
- optimal linear
- dynamic environments
- state space
- humanoid robot
- robotic arm
- optimal control
- control law
- dynamic programming
- collision free
- machine learning
- autonomous robots
- path finding
- optimal path
- learning algorithm
- multi robot systems
- multi agent
- image sequences