Electronic Science and Technology ›› 2023, Vol. 36 ›› Issue (4): 90-102.doi: 10.16180/j.cnki.issn1007-7820.2023.04.013

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Summary of Research on Table Tennis Trajectory Prediction and Rotation Measurement

LÜ Chengxu1,FAN Suozhong2,JI Yunfeng2,YOU Yiping3   

  1. 1. School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology, Shanghai 200093, China
    2. Institute of Machine Intelligence,University of Shanghai for Science and Technology, Shanghai 200093,China
    3. School of Health Science and Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
  • Received:2021-11-14 Online:2023-04-15 Published:2023-04-21
  • Supported by:
    National Natural Science Foundation of China(61773083);Pujiang Talents Plan of Shanghai(2019PJD035);Artifificial Intelligence Innovation and Development Special Fund of Shanghai(2019-RGZN-01041)

Abstract:

In the process of table tennis man-machine sparring, the ball will rotate when it collides with the racket/table, which will cause the sphere to deviate due to the influence of the Magnus force. Therefore, it is difficult to meet the requirements of accurate trajectory prediction of table tennis robot. Trajectory prediction and rotation measurement technology can help improve the robot's ability of prediction and striking. In order to help researchers in this field understand the research methods and existing technologies of table tennis trajectory prediction and rotation measurement, the new developments in the research of table tennis trajectory prediction and rotation measurement are reviewed. After reclassifying and sorting out the research results based on the research achievements in this field in recent years, the advantages and disadvantages of different methods are analyzed and the key issues are sorted out. Finally, the future research trend of table tennis trajectory prediction and rotation measurement is prospected.

Key words: table tennis, man-machine sparring, collide, rotate, Magnus force, table tennis robot, trajectory prediction, rotation measurement

CLC Number: 

  • TP18