Research and Design of Ball Sports Training Robots

Authors

  • Junshu Chen Guilin University of Electronic Technology, Guilin, Guangxi, 541004, China
  • Yuran Ye Guilin University of Electronic Technology, Guilin, Guangxi, 541004, China
  • Jinghong Yao Guilin University of Electronic Technology, Guilin, Guangxi, 541004, China
  • Mingli Lin Guilin University of Electronic Technology, Guilin, Guangxi, 541004, China
  • Gui Lin Guilin University of Electronic Technology, Guilin, Guangxi, 541004, China
  • Jie Xu Guilin University of Electronic Technology, Guilin, Guangxi, 541004, China
  • Xinkai Li Guilin University of Electronic Technology, Guilin, Guangxi, 541004, China

DOI:

https://doi.org/10.54097/ee0vb417

Keywords:

Training Robot, Automatic Recognition, Omnidirectional Motion Chassis, Automatic Ball Retrieval, Omnidirectional Pan-Tilt, Automatic Ball Serving

Abstract

The ball sports training robot belongs to the field of robotics. It can autonomously identify the balls on the field, plan the path, move to the ball's position through an omnidirectional movement chassis, perform the automatic ball retrieval task, and then conduct secondary identification to determine the position of the trainee. It can autonomously adjust the direction and angle of the omnidirectional pan-tilt unit, change the rotational speed of the active roller, thereby adjusting the serving trajectory, and automatically serve the ball. There is no need for manual ball retrieval and serving. It can effectively replace manual practice, with high training efficiency and strong applicability.

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References

[1] Ao, W., Zhang, L., Zhang, H., et al. (2023). Structure design and event-triggered control of a modular omnidirectional mobile chassis of life support robotics. Fractal and Fractional, 7(2), 121. https://doi.org/10.3390/fractalfract7020121.

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[3] Peng, Y., Wang, Z., Zhang, Y., et al. (2026). RobKiNet: Robotic Kinematics Informed Neural Network for Optimal Robot Configuration Prediction. Robotics and Autonomous Systems, 105541. https://doi.org/10.1016/j.robot.2026.105541.

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Published

30-06-2026

Issue

Vol. 17 No. 1 (2026)

Section

Articles

License

Copyright (c) 2026 Frontiers in Computing and Intelligent Systems

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

Chen, J., Ye, Y., Yao, J., Lin, M., Lin, G., Xu, J., & Li, X. (2026). Research and Design of Ball Sports Training Robots. Frontiers in Computing and Intelligent Systems, 17(1), 28-30. https://doi.org/10.54097/ee0vb417