Motion Planning by Reinforcement Learning for an Unmanned Aerial Vehicle in Virtual Open Space with Static Obstacles.
Sanghyun KimJongmin ParkJae-Kwan YunJiwon SeoPublished in: CoRR (2020)
Keyphrases
- motion planning
- path planning
- unmanned aerial vehicles
- reinforcement learning
- collision free
- belief space
- degrees of freedom
- trajectory planning
- mobile robot
- robot arm
- configuration space
- multi robot
- robotic tasks
- humanoid robot
- mechanical systems
- inverse kinematics
- free space
- obstacle avoidance
- robotic arm
- autonomous mobile robot
- state space
- dynamic environments
- manipulation tasks
- collision avoidance
- machine learning
- optimal policy
- object detection
- decision making