Ball Motion Control in the Table Tennis Robot System Using Time-Series Deep Reinforcement Learning
One of the biggest challenges hindering a table tennis robot to play as well as a professional player is the ball’s accurate motion control, which depends on various factors such as the incoming ball’s position, linear, spin velocity and so forth. Unfortunately, some factors ar...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9467347/ |