A review of AI-assisted motion control

Yin Li; Hua Chen; Fugee Tsung

doi:10.1117/12.3013434

29 November 2023 A review of AI-assisted motion control

Yin Li, Hua Chen, Fugee Tsung

Proceedings Volume 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023); 129370X (2023) https://doi.org/10.1117/12.3013434
Event: International Conference on Internet of Things and Machine Learning (IoTML 2023), 2023, Singapore, Singapore

Abstract

This paper provides a comprehensive review of AI-assisted motion control, which plays a crucial role in industrial automation and robotics. The application of AI technology brings new opportunities and challenges to motion control. The paper begins by introducing the basic concepts of motion control and discussing the limitations of traditional methods. It then delves into the application of AI in motion control, including generative AI, AI during setup and tuning processes, AI for statistical process control, and adaptive motion control. Special attention is given to the application of AI-assisted soft motion control and its advantages and limitations. Through comprehensive investigations, the current research progress and application status of AI-assisted soft motion is summarized. Finally, the future trends and challenges of AI-assisted motion control, as well as potential research directions and application prospects, are discussed.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yin Li, Hua Chen, and Fugee Tsung "A review of AI-assisted motion control", Proc. SPIE 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023), 129370X (29 November 2023); https://doi.org/10.1117/12.3013434

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