Ball Motion Control in the Table Tennis Robot System Using Time-Series Deep Reinforcement Learning.
Luo YangHaibo ZhangXiangyang ZhuXinjun ShengPublished in: IEEE Access (2021)
Keyphrases
- table tennis
- motion control
- skill learning
- reinforcement learning
- real robot
- robot control
- mobile robot
- robot arm
- action space
- key features
- autonomous robots
- control system
- visual servoing
- control law
- autonomous navigation
- physical constraints
- state space
- motor skills
- control algorithm
- motion planning
- multi robot
- learning algorithm
- robotic soccer
- markov decision processes
- real time
- kinematic model
- function approximation
- robotic systems
- multi modal
- multi agent
- optimal control
- humanoid robot
- markov decision process
- closed loop
- least squares
- dynamic programming
- optical flow
- multiscale