| Issue |
ITM Web Conf.
Volume 84, 2026
2026 International Conference on Advent Trends in Computational Intelligence and Data Science (ATCIDS 2026)
|
|
|---|---|---|
| Article Number | 04022 | |
| Number of page(s) | 7 | |
| Section | Computer Vision, Robotic Systems, and Intelligent Control | |
| DOI | https://doi.org/10.1051/itmconf/20268404022 | |
| Published online | 06 April 2026 | |
Human-Machine Compatibility of the Elbow Exoskeleton Robot Axis Misalignment Problem and Compensation Mechanism
School of Mechanical Engineering and Automation, Beihang University, Beijing, 102200, China
* Corresponding author’s email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
With the increasing burden of neurological diseases and the aging population, the need for efficient upper limb rehabilitation is becoming increasingly urgent. The elbow exoskeleton can provide high-intensity, quantifiable repetitive training, but it is limited by human-machine compatibility, especially the misalignment of the mechanical and physiological axes. This paper systematically reviews the axial misalignment problems and compensation mechanisms of elbow exoskeletons, and sorts out the characteristics and alignment difficulties of rigid, flexible, and hybrid structures. This paper analyzes the biomechanical causes of translation, angle, and comprehensive dislocation, and discusses their effects on additional load, movement smoothness, and long-term comfort. In addition, this paper focuses on summarizing compensation strategies such as mechanical passive self-alignment, series elastic drive, soft self-compliance, neuro-electromyographic intelligent control, intelligent compensation control mechanism, adjustable geometric structure, and compares their advantages and disadvantages as well as applicable scenarios. Finally, this paper proposes that intelligent adaptive axis alignment, rigid-flex hybrid bionic structure, individualized human-machine interface, and unified evaluation system should be developed in the future to provide a reference for the design of a high-level human-machine fusion elbow exoskeleton.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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