Evidence map›Paper›PMID 37754149›Full record

ArticleBiomimetics (Basel, Switzerland)2023

Modeling Contact Stiffness of Soft Fingertips for Grasping Applications.

Xiaolong Ma, Lingfeng Chen, Yanfeng Gao, Daliang Liu, Binrui Wang

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xiaolong MaCollege of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China.ORCID 0000-0002-6666-6775
Lingfeng ChenThe Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, College of Mechanical Engineering, Ministry of Education and Zhejiang Province, Zhejiang University of Technology, Hangzhou 310023, China.
Yanfeng GaoCollege of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China.
Daliang LiuHe'nan Jiuyu Boda Industrial Co., Ltd., Zhengzhou 450051, China.
Binrui WangCollege of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China.

Funding

Key Research and Development Program of Zhejiang 2021C04015Natural Science Foundation of Zhejiang LZ23E050005Zhejiang Provincial Natural Science Foundation of China LGC21F030001
6 · The paper itself

Abstract

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.

Indexed as

contact stiffnesselastic modelgrasp stabilitysoft fingertip

Identifiers

PMID37754149
PMCPMC10526553

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.