Cam-Contour-Engineered Passive Shoulder Exoskeleton: Delivering Adjustable Assistance with Minimal Movement Interference
HTML
PDF

Keywords

Upper-limb exoskeleton
Passive assistance
Overhead tasks
Variable torque mechanism
Adjustable pretension

How to Cite

Wang, X., Du, J., Du, S., Sun, J., Li, Y., Hong, Y., Wang, X., & Chen, C. (2026). Cam-Contour-Engineered Passive Shoulder Exoskeleton: Delivering Adjustable Assistance with Minimal Movement Interference. Instrumentation, 13(3). https://doi.org/10.15878/j.instr.202600382

Abstract

Overhead tasks in industrial and maintenance sectors significantly increase the risk of work-related musculoskeletal disorders (WMSDs) due to prolonged non-neutral shoulder postures. This paper presents the design and evaluation of a novel passive upper-limb exoskeleton specifically optimized for overhead assistance. To address the limitations of traditional assistive devices, such as constant resistance during natural movement and non-adjustable assistance levels, two core mechanisms are proposed: the Cam-based Variable Torque Mechanism (CVTM) and the Ratchet-based Pretension Adjustment Mechanism (RPAM). The CVTM provides a piecewise assistive characteristic: it allows for unobstructed, low-resistance arm swing during natural movement (Phase 1) and delivers programmable, elevation-dependent torque during overhead tasks (Phase 2), with the transition controlled by a critical elevation angle. Simultaneously, the RPAM enables the wearer to discretely adjust the assistance level through simple, cyclic arm motions without external tools, utilizing a dual-pawl and ratchet system to modulate spring pretension. The integration of these mechanisms into a lightweight, carbon-fiber frame ensures both high load-bearing capacity and ergonomic comfort. Experimental results demonstrate that the system significantly reduces shoulder physical strain during overhead tasks.

https://doi.org/10.15878/j.instr.202600382
HTML
PDF
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2026 Xufei Wang, Jiying Du, Sida Du, Jianquan Sun, Yunxiang Li, Yongxuan Hong, Xiangyang Wang, Chunjie Chen

Downloads

Download data is not yet available.

Publication Facts

Metric
This article
Other articles
Peer reviewers 
3
2.4

Reviewer profiles  N/A

Author statements

Author statements
This article
Other articles
Data availability 
N/A
16%
External funding 
No
32%
Competing interests 
N/A
11%
Metric
This journal
Other journals
Articles accepted 
84%
33%
Days to publication 
193
145

Indexed in

Editor & editorial board
profiles