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A Compact SMA-Driven Push–Pull Module With Precise Linear Motion

Qiqiang Hu*, Yiming Ouyang, Hu Jin, Jinglei Yang, Dong Sun, Shiwu Zhang*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Shape memory alloy (SMA) actuators have demonstrated great value in soft robotic applications; however, traditional tendon-based actuation methods suffer from hysteresis that affects control accuracy. In this article, we propose a SMA-driven push–pull module by using antagonistic actuation and rod connection, and further integrate a linear thin film potentiometer within a compact size, which can achieve precise pulling and pushing motions based on the model-based closed-loop control. The compact SMA module with a large stroke can fulfill the submillimeter position accuracy for pulling and pushing motions at varying speeds and loads. An application to a soft origami continuum robot proves that the proposed SMA module can solve the hysteresis problem, simultaneously achieving precise control of bending and contraction/expansion (RMSE ≤ 0.85 mm). It is also demonstrated that the SMA module can be MR-compatible and function well under MRI feedback. This study will contribute to the advancement of SMA actuators in precision motion control and soft robotic applications. © 2025 IEEE.
Original languageEnglish
JournalIEEE/ASME Transactions on Mechatronics
Online published12 Jan 2026
DOIs
Publication statusOnline published - 12 Jan 2026

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 62473353 and Grant U21A20119, in part by the Research Grants Council of Hong Kong Special Administration Region, China under Grant C1134-20G and Grant 11211421, in part by the Frontier Technology Research Program of Jiangsu Province under Grant BF2024031, and in part by the Major Project of Anhui Province\u2019s Science and Technology Innovation Breakthrough Plan under Grant 202423h08050002.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research Keywords

  • Motion control
  • origami continuum robots
  • shape memory alloy actuators
  • soft robotics

RGC Funding Information

  • RGC-funded

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