Design and Control of Soft Exoskeleton Based on Human Motion Intention

Kaizhen Huang, Jiajun Xu*, Tianyi Zhang, Yonghua Lu, Linsen Xu, Youfu Li

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Exoskeletons have been utilized to enhance human movement capabilities; however, most of exoskeletons are typically limited by the small-range stiffness of actuators. Furthermore, these exoskeletons are not comfortable to wear due to the rigid structures. This letter proposes a soft exoskeleton with twisted string actuators to assist knee joint movement. The mechanical structure and dynamics model of the exoskeleton robotic system is introduced, where the variable-stiffness actuator with twisted strings is able to provide controllable walking assistance and improve users' comfort. In addition, the users motion intention is detected through biomedical signal, and an assist-as-need control strategy is proposed to enhance assistance efficiency. Finally, the effectiveness of the proposed exoskeleton is verified empirically. © 2023 IEEE.
Original languageEnglish
Title of host publication2023 International Conference on Advanced Robotics and Mechatronics (ICARM)
PublisherIEEE
Pages1047-1052
ISBN (Electronic)979-8-3503-0017-8, 979-8-3503-0016-1
ISBN (Print)979-8-3503-0018-5
DOIs
Publication statusPublished - 2023
Event8th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM 2023) - Hainan University, Sanya, China
Duration: 8 Jul 202310 Jul 2023

Publication series

NameIEEE International Conference on Advanced Robotics and Mechatronics, ICARM

Conference

Conference8th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM 2023)
PlaceChina
CitySanya
Period8/07/2310/07/23

Research Keywords

  • assist-as-needed control
  • EMG
  • exosuit
  • twisted string actuators
  • walking assistance

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