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Research on Real-Time Curvature Detection and Bending Control of Shape Memory Alloy Actuators Based on Flexible Strain Sensors

  • Shijie Wang (Co-first Author)
  • , Liao Li (Co-first Author)
  • , Linxu Wang
  • , Lixiang Zheng
  • , Yanyue Teng
  • , Qi Wen
  • , Libo Gao
  • , Qiqiang Hu
  • , Junyang Li*
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Recently, shape memory alloy (SMA) actuators have gained significant attention in the field of soft robot research. Nevertheless, the task of attaining precise shape recognition and bending control poses ongoing difficulties. The present study introduces a novel technology that integrates a shape memory alloy actuator with a flexible strain sensor. A high-sensitivity strain sensor, fabricated using ion gel material, is used to continuously monitor and provide feedback control on the bending condition of the actuator in real-time. The experimental results demonstrate that the system has exceptional sensitivity and stability within a specific range of strain. An accurate bending control of the actuator is achieved by established the mapping relationship between capacitance and curvature. The present study introduces a novel concept for the sensing and manipulation of bionic soft robots, with anticipated extensive application in future flexible electronic devices and human-computer interface systems. © 2024 IEEE.
Original languageEnglish
Title of host publication2024 IEEE International Conference on Robotics and Biomimetics (ROBIO)
PublisherIEEE
Pages1239-1244
ISBN (Electronic)9798331509644
ISBN (Print)9781665481090, 9798331509651
DOIs
Publication statusPublished - Dec 2024
Event2024 IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO 2024) - Bangkok, Thailand
Duration: 10 Dec 202414 Dec 2024
https://ieee-robio.org/2024/

Publication series

NameIEEE International Conference on Robotics and Biomimetics, ROBIO
ISSN (Print)2994-3566
ISSN (Electronic)2994-3574

Conference

Conference2024 IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO 2024)
Abbreviated titleIEEE ROBIO 2024
PlaceThailand
CityBangkok
Period10/12/2414/12/24
Internet address

Funding

This research was supported by the National Natural Science Foundation of China (No. 62201537, No.62274140), the Foundation of Natural Science Foundation of Shandong Province (No. ZR2022QF008), the Fundamental Research Funds for the Central Universities (20720230030) and the Xiaomi Young Talents Program / Xiaomi Foundation.

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