A review of shear/slip sensor for improving robotic and human dexterity

Article


Zhu, Yuting and Giffney, Tim. 2023. "A review of shear/slip sensor for improving robotic and human dexterity." International Journal of Biomechatronics and Biomedical Robotics. 4 (1), pp. 32-44. https://doi.org/10.1504/IJBBR.2022.128680
Article Title

A review of shear/slip sensor for improving robotic and human dexterity

ERA Journal ID123684
Article CategoryArticle
AuthorsZhu, Yuting and Giffney, Tim
Journal TitleInternational Journal of Biomechatronics and Biomedical Robotics
Journal Citation4 (1), pp. 32-44
Number of Pages13
Year2023
PublisherInderscience Publishers
Place of PublicationSwitzerland
ISSN1757-6792
1757-6806
Digital Object Identifier (DOI)https://doi.org/10.1504/IJBBR.2022.128680
Web Address (URL)https://www.inderscienceonline.com/doi/pdf/10.1504/IJBBR.2022.128680
Abstract

The ability to mimic the tactile feedback of the human hand to improve its dexterity, grasp/gripping and manipulation has been widely considered in robotic development. During robotic grasping, three forces are produced: grasp force (pressure), friction force, and tangential force (shear). Most of the tactile sensors are focused on pressure and normal force. However, shear stress is of great importance in manipulation for the prediction of gripping slippage and the implementation of force control. Improved measurement of shear stress can facilitate robots that mimic human-like robot gripping techniques and achieve advanced manipulation tasks. This paper reviews the state-of-the-art of shear/slip sensors for improving robotic and human dexterity. Tactile shear sensors for robotics and biomedical are reviewed, with an analytical comparison of the advantages and disadvantages of different sensing technologies.

Keywordstactile sensor; gripping; robotic; shear stress
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020400305. Biomedical instrumentation
Public Notes

The accessible file is the accepted version of the paper. Please refer to the URL for the published version.

Byline AffiliationsUniversity of Auckland, New Zealand
University of Canterbury, New Zealand
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https://research.usq.edu.au/item/zy698/a-review-of-shear-slip-sensor-for-improving-robotic-and-human-dexterity

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