@inproceedings{da1f829e9f2b41ee949a41fac3a74208,
title = "Fuzzy Controller Design for Table Tennis Robot to Hit Spinning Balls",
abstract = "A fuzzy controller was designed for a table tennis robot to strike a ball with topspin or backspin. First, the topspin or backspin was classified by comparing the difference between the binocular-vision-based measurement of a ball trajectory and the predicted trajectory using an ideal flying model. The striking signal, including the contact position and hitting time, of our table tennis robot can be estimated by inputting the trajectory features into a corresponding model. The face angle of a racket at the hitting moment was derived by a fuzzy inference system and was then used to control the robot. The average error of the contact position predicted by the proposed method was about 3 cm, and the average error of hitting timing was less than 13.5 ms. Experimental results verified the effectiveness of the proposed controller for striking spin balls.",
keywords = "fuzzy control, ping pong robot, table tennis robot, topspin/ backspin ball",
author = "Wu, {Wen Jia} and Chuang, {Ying Shu} and Sun, {Chung Hsun} and Chen, {Hsiang Chieh}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2023 ; Conference date: 11-08-2023 Through 13-08-2023",
year = "2023",
doi = "10.1109/ICKII58656.2023.10332582",
language = "???core.languages.en_GB???",
series = "Proceedings of the 2023 IEEE 6th International Conference on Knowledge Innovation and Invention, ICKII 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "778--782",
editor = "Teen-Hang Meen",
booktitle = "Proceedings of the 2023 IEEE 6th International Conference on Knowledge Innovation and Invention, ICKII 2023",
}