Waters, I, Alazmani, A orcid.org/0000-0001-8983-173X and Culmer, P orcid.org/0000-0003-2867-0420
(2020)
Engineering Incipient Slip Into Surgical Graspers to Enhance Grasp Performance.
IEEE Transactions on Medical Robotics and Bionics, 2 (4).
pp. 541-544.
ISSN 2576-3202
Abstract
The surgical community has long reported the need for improved control of surgical graspers when handling delicate soft tissues, both to avoid the over application of force which leads to trauma, and to avoid tissue slip. The majority of research has sought to mitigate these issues through the integration of force feedback into the graspers. In this work we investigate an alternative strategy in which the grasper design is engineered to create preferential localised slip, also known as incipient slip, on the premise that this can be detected before the onset of macro slip, allowing graspers to use the minimum force required to maintain stable control. We demonstrate the ability to encourage incipient slip in a predictable and repeatable manner through the design of the grasper face profile and pattern. This provides an important foundation for development of sensing systems capable of detecting these slips during surgery to improve operative outcomes.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Grasping , Sensor phenomena and characterization , Medical robotics , Surgery , Robot sensing systems , Tactile sensors |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Systems and Design (iESD) (Leeds) |
Funding Information: | Funder Grant number EPSRC (Engineering and Physical Sciences Research Council) EP/R041776/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Nov 2020 13:29 |
Last Modified: | 27 Nov 2020 13:29 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Identification Number: | 10.1109/tmrb.2020.3028851 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:168389 |