Asynchronous Multithreading Reinforcement-Learning-Based Path Planning and Tracking for Unmanned Underwater Vehicle.
Zichen HeLu DongChangyin SunJiawei WangPublished in: IEEE Trans. Syst. Man Cybern. Syst. (2022)
Keyphrases
- path planning
- underwater vehicles
- multithreading
- reinforcement learning
- mobile robot
- path planning algorithm
- unmanned aerial vehicles
- dynamic environments
- collision avoidance
- obstacle avoidance
- multi robot
- motion planning
- optimal path
- highly efficient
- computer simulation
- real time
- autonomous vehicles
- dynamic and uncertain environments
- computational power
- parallel computing
- robot path planning
- multi agent
- state space
- potential field
- search and rescue
- particle filter
- degrees of freedom
- object tracking
- mathematical models
- search algorithm
- multiple robots
- visual tracking
- video sequences
- particle filtering
- neural network
- aerial vehicles
- collision free
- configuration space
- distributed memory