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Cited by 527

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Towards a soft pneumatic glove for hand rehabilitation

Polygerinos, Panagiotis, Lyne, Stacey, Zheng Wang, Nicolini, Luis Fernando, Mosadegh, Bobak, Whitesides, George M., Walsh, Conor J.·2013·2013 IEEE/RSJ International Conference on Intelligent Robots and Systems

Abstract

This paper presents preliminary results for the design, development and evaluation of a hand rehabilitation glove fabricated using soft robotic technology. Soft actuators comprised of elastomeric materials with integrated channels that function as pneumatic networks (PneuNets), are designed and geometrically analyzed to produce bending motions that can safely conform with the human finger motion. Bending curvature and force response of these actuators are investigated using geometrical analysis and a finite element model (FEM) prior to fabrication. The fabrication procedure of the chosen actuator is described followed by a series of experiments that mechanically characterize the actuators. The experimental data is compared to results obtained from FEM simulations showing good agreement. Finally, an open-palm glove design and the integration of the actuators to it are described, followed by a qualitative evaluation study.

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Metadata

Authors
Polygerinos, P., Lyne, S., Wang, Z., Nicolini, L. F., Mosadegh, B., Whitesides, G. M., & Walsh, C. J.
Venue
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
Publisher
IEEE
Published
2013-11
Pages
1512-1517
OpenAlex
W2054427316
Cited by
527
References
12
FWCI
29.70
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Towards a soft pneumatic glove for hand rehabilitation. https://app.cochat.ai/papers/10.1109/iros.2013.6696549
The paper
Polygerinos, P., Lyne, S., Wang, Z., Nicolini, L. F., Mosadegh, B., Whitesides, G. M., & Walsh, C. J. (2013). Towards a soft pneumatic glove for hand rehabilitation. 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems. https://doi.org/10.1109/iros.2013.6696549

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.