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March 7, 2026Chinese Journal of Mechanical Engineering2 citationsOpen Access

Design of hybrid variable stiffness human–computer interaction contact unit module based on granular jamming

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CGChao GaoCWChang WangJZJianhua Zhang

Key Points

  • This research aims to improve the compatibility and performance of rehabilitation exoskeleton robots through a new contact unit design.
  • Developed a variable stiffness human-computer interaction contact unit module (VSHCUM) using granular jamming mechanism.
  • Designed a double-layer chamber structure with a granular chamber and an air chamber.
  • Tested adaptability of the contact unit to fit varying limb shapes by adjusting pressure levels.
  • Achieved adjustable stiffness of the contact unit by a factor of over five.
  • Reduced internal power loss due to self-pulling deformation during auxiliary force transfer.
  • Demonstrated effective adaptive fitting to patients' limb shapes.

Abstract

Existing rehabilitation exoskeleton robots suffer from poor compatibility with the human limb coupling method, large internal power loss, and poor wearable performance, which seriously affect the rehabilitation ability of these robots. Therefore, this study proposes a variable stiffness human–computer interaction contact unit module (VSHCUM) based on the granular jamming mechanism. It is characterized by a double-layer chamber structure: the inner layer is a granular chamber, and the outer layer is an air chamber. The interaction force is transmitted by embedding a rigid support in the inner layer. Unlike the common flexible-belt interactive contact unit, when the exoskeleton is bound to the patient's limb, VSHCUM can realize adaptive fitting of the patient's limb shape using the pressure change in the double-chamber structure. Simultaneously, by adjusting the vacuum level of the granular chamber, the stiffness of the interactive contact unit can be adjusted by a factor of more than five, and the internal work loss caused by self-pulling deformation during the auxiliary force transfer process can be reduced.

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Cite This Study

Gao et al. (2026) studied this question.

synapsesocial.com/papers/69abc2175af8044f7a4eb619https://doi.org/10.1016/j.cjme.2025.100025
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