Deep Learned Path Planning via Randomized Reward-Linked-Goals and Potential Space Applications.
Tamir BlumWilliam JonesKazuya YoshidaPublished in: CoRR (2019)
Keyphrases
- path planning
- mobile robot
- path planning algorithm
- collision avoidance
- obstacle avoidance
- dynamic environments
- motion planning
- path planner
- multi robot
- configuration space
- potential field
- degrees of freedom
- optimal path
- trajectory planning
- dynamic and uncertain environments
- indoor environments
- autonomous navigation
- autonomous vehicles
- robot path planning
- multiple robots
- landmark recognition
- reinforcement learning
- path finding
- aerial vehicles
- unmanned aerial vehicles
- collision free
- state space
- multi agent systems