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Stiffness optimization based on muscle fatigue and muscle synergy for passive waist assistive exoskeleton

Muye Pang (School of Automation, Wuhan University of Technology, Wuhan, China)
Ruiqing Li (School of Automation, Wuhan University of Technology, Wuhan, China)
Ying Ding (School of Automation, Wuhan University of Technology, Wuhan, China)
Biwei Tang (School of Automation, Wuhan University of Technology, Wuhan, China)
Jing Luo (School of Automation, Wuhan University of Technology, Wuhan, China)
Kui Xiang (School of Automation, Wuhan University of Technology, Wuhan, China)

Robotic Intelligence and Automation

ISSN: 2754-6969

Article publication date: 4 April 2023

Issue publication date: 23 June 2023

163

Abstract

Purpose

This paper aims to optimize the stiffness coefficient of the elastic element for a passive waist assistive exoskeleton (WAE). There is a tradeoff between stiffness coefficient of elastic element of the exoskeleton and work efficiency of the wearer, because elastic element affects original bending motion of the wearer and the force requirement of erector spinae is compensated by the other muscles. However, there is no accepted conclusion on how to determine the proper stiffness coefficient, especially with respected to the effort of groups of muscles, not only erector spinae.

Design/methodology/approach

In this study, a consumption indicator based on muscle fatigue of seven muscles is proposed and a Bayesian-based human-in-the-loop optimization approach is adopted to optimize the stiffness coefficient. Pneumatic artificial muscles are used to replace the mechanical elastic part to adjust the assistive force automatically. The proposed optimization method is verified by the way of load-lifting experiments with three different conditions: without exoskeleton, with fixed air pressure and with optimized air pressure. Six subjects participated in the experiment and each experiment is performed in different day.

Findings

Compared with No-Exo condition and static assistance condition, the parameter-optimized waist exoskeleton averagely reduces muscle fatigue of the six subjects by 45.30 ± 29.14% and 30.94 ± 30.29%, respectively. The experimental results indicate that the proposed method is effective to reduce muscle fatigue during stoop lifting task.

Originality/value

This paper provides a novel cost function construction method based on muscle fatigue and muscle synergy for passive WAE stiffness optimization.

Keywords

Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grant No. 61603284, 61903286 and 62203341, in part by the Fundamental Research Funds for the Central Universities under Grant WUT: 2022IVA044.

Citation

Pang, M., Li, R., Ding, Y., Tang, B., Luo, J. and Xiang, K. (2023), "Stiffness optimization based on muscle fatigue and muscle synergy for passive waist assistive exoskeleton", Robotic Intelligence and Automation, Vol. 43 No. 3, pp. 209-224. https://doi.org/10.1108/RIA-08-2022-0221

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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