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Modeling Contact Stiffness of Soft Fingertips for Grasping Applications

Soft fingertips have distinct intrinsic features that allow robotic hands to offer adjustable and manageable stiffness for grasping. The stability of the grasp is determined by the contact stiffness between the soft fingertip and the object. Within this work, we proposed a line vector representation...

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Autores principales: Ma, Xiaolong, Chen, Lingfeng, Gao, Yanfeng, Liu, Daliang, Wang, Binrui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526553/
https://www.ncbi.nlm.nih.gov/pubmed/37754149
http://dx.doi.org/10.3390/biomimetics8050398
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author Ma, Xiaolong
Chen, Lingfeng
Gao, Yanfeng
Liu, Daliang
Wang, Binrui
author_facet Ma, Xiaolong
Chen, Lingfeng
Gao, Yanfeng
Liu, Daliang
Wang, Binrui
author_sort Ma, Xiaolong
collection PubMed
description Soft fingertips have distinct intrinsic features that allow robotic hands to offer adjustable and manageable stiffness for grasping. The stability of the grasp is determined by the contact stiffness between the soft fingertip and the object. Within this work, we proposed a line vector representation method based on the Winkler Model and investigated the contact stiffness between soft fingertips and objects to achieve control over the gripping force and fingertip displacement of the gripper without the need for sensors integrated in the fingertip. First, we derived the stiffness matrix of the soft fingertip, analyzed the contact stiffness, and constructed the global stiffness matrix; then, we established the grasp stiffness matrix based on the contact stiffness model, allowing for the analysis and evaluation of the soft fingertip’s manipulating process. Finally, our experiment demonstrated that the variation in object orientation caused by external forces can indicate the contact force status between the fingertip and the object. This contact force status is determined by the contact stiffness. The position error between the theoretical work and tested data was less than 9%, and the angle error was less than 5.58%. The comparison between the theoretical contact stiffness and the experimental results at the interface indicate that the present model for the contact stiffness is appropriate and the theoretical contact stiffness is consistent with the experiment data.
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spelling pubmed-105265532023-09-28 Modeling Contact Stiffness of Soft Fingertips for Grasping Applications Ma, Xiaolong Chen, Lingfeng Gao, Yanfeng Liu, Daliang Wang, Binrui Biomimetics (Basel) Article Soft fingertips have distinct intrinsic features that allow robotic hands to offer adjustable and manageable stiffness for grasping. The stability of the grasp is determined by the contact stiffness between the soft fingertip and the object. Within this work, we proposed a line vector representation method based on the Winkler Model and investigated the contact stiffness between soft fingertips and objects to achieve control over the gripping force and fingertip displacement of the gripper without the need for sensors integrated in the fingertip. First, we derived the stiffness matrix of the soft fingertip, analyzed the contact stiffness, and constructed the global stiffness matrix; then, we established the grasp stiffness matrix based on the contact stiffness model, allowing for the analysis and evaluation of the soft fingertip’s manipulating process. Finally, our experiment demonstrated that the variation in object orientation caused by external forces can indicate the contact force status between the fingertip and the object. This contact force status is determined by the contact stiffness. The position error between the theoretical work and tested data was less than 9%, and the angle error was less than 5.58%. The comparison between the theoretical contact stiffness and the experimental results at the interface indicate that the present model for the contact stiffness is appropriate and the theoretical contact stiffness is consistent with the experiment data. MDPI 2023-09-01 /pmc/articles/PMC10526553/ /pubmed/37754149 http://dx.doi.org/10.3390/biomimetics8050398 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ma, Xiaolong
Chen, Lingfeng
Gao, Yanfeng
Liu, Daliang
Wang, Binrui
Modeling Contact Stiffness of Soft Fingertips for Grasping Applications
title Modeling Contact Stiffness of Soft Fingertips for Grasping Applications
title_full Modeling Contact Stiffness of Soft Fingertips for Grasping Applications
title_fullStr Modeling Contact Stiffness of Soft Fingertips for Grasping Applications
title_full_unstemmed Modeling Contact Stiffness of Soft Fingertips for Grasping Applications
title_short Modeling Contact Stiffness of Soft Fingertips for Grasping Applications
title_sort modeling contact stiffness of soft fingertips for grasping applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10526553/
https://www.ncbi.nlm.nih.gov/pubmed/37754149
http://dx.doi.org/10.3390/biomimetics8050398
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