LiDAR-Based Safe and Realistic Path Planning in Partially Observable Environments.
Shunta IshizuyaTakuto SakumaShohei KatoPublished in: GCCE (2022)
Keyphrases
- path planning
- partially observable environments
- mobile robot
- inverse reinforcement learning
- path planning algorithm
- dynamic environments
- multi robot
- motion planning
- reinforcement learning algorithms
- obstacle avoidance
- dynamic and uncertain environments
- collision avoidance
- partially observable
- optimal path
- reinforcement learning
- autonomous vehicles
- autonomous navigation
- robot path planning
- unmanned aerial vehicles
- path finding
- multiple robots
- aerial vehicles
- cooperative games