Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning.
Binyu WangZhe LiuQingbiao LiAmanda ProrokPublished in: IEEE Robotics Autom. Lett. (2020)
Keyphrases
- dynamic environments
- path planning
- mobile robot
- reinforcement learning
- obstacle avoidance
- real robot
- reinforcement learning agents
- robot control
- multi robot
- autonomous navigation
- path planning algorithm
- collision avoidance
- potential field
- indoor environments
- mobile robotics
- motion planning
- path planner
- autonomous robots
- autonomous agents
- path finding
- single agent
- navigation tasks
- degrees of freedom
- multiple robots
- dynamic and uncertain environments
- autonomous vehicles
- state space
- optimal path
- trajectory planning
- multi agent
- real environment
- aerial vehicles
- markov decision processes
- robotic systems
- changing environment
- unknown environments
- belief space
- optimal policy
- uncertain environments
- sensory information
- collision free
- robot path planning
- unmanned aerial vehicles