Path planning for active SLAM based on deep reinforcement learning under unknown environments.
Shuhuan WenYanfang ZhaoXiao YuanZongtao WangDan ZhangLuigi ManfrediPublished in: Intell. Serv. Robotics (2020)
Keyphrases
- unknown environments
- path planning
- mobile robot
- reinforcement learning
- exploration strategy
- simultaneous localization and mapping
- obstacle avoidance
- indoor environments
- path planning algorithm
- dynamic environments
- potential field
- collision avoidance
- real robot
- multi robot
- mobile robotics
- autonomous navigation
- optimal path
- path finding
- autonomous robots
- motion planning
- autonomous vehicles
- state space
- robot path planning
- robotic systems
- degrees of freedom
- dynamic and uncertain environments
- outdoor environments
- multiple robots
- aerial vehicles