中文版 | English
Title

Embedment of sensing elements for robust, highly sensitive, and cross-talk-free iontronic skins for robotics applications

Author
Corresponding AuthorGuo, Chuan Fei
Publication Years
2023-03-03
DOI
Source Title
ISSN
2375-2548
EISSN
2375-2548
Volume9Issue:9
Abstract
Iontronic pressure sensors are promising in robot haptics because they can achieve high sensing performance using nanoscale electric double layers (EDLs) for capacitive signal output. However, it is challenging to achieve both high sensitivity and high mechanical stability in these devices. Iontronic sensors need microstructures that offer subtly changeable EDL interfaces to boost sensitivity, while the microstructured interfaces are mechanically weak. Here, we embed isolated microstructured ionic gel (IMIG) in a hole array (28 × 28) of elastomeric matrix and cross-link the IMIGs laterally to achieve enhanced interfacial robustness without sacrificing sensitivity. The embedded configuration toughens and strengthens the skin by pinning cracks and by the elastic dissipation of the interhole structures. Furthermore, cross-talk between the sensing elements is suppressed by isolating the ionic materials and by designing a circuit with a compensation algorithm. We have demonstrated that the skin is potentially useful for robotic manipulation tasks and object recognition.
Copyright © 2023 The Authors, some rights reserved;
URL[Source Record]
Indexed By
EI ; SCI
Language
English
Important Publications
NI Journal Papers
SUSTech Authorship
First ; Corresponding
Funding Project
Acknowledgments Funding:TheworkconductedatSUST ech wasfundedbytheNationalNaturalScience FoundationofChina(nos.T2225017and52073138),theGuangdongInnova tiv eand EntrepreneurialResearchT eam Program(no.2016ZT06G587),theScienceT echnology and InnovationCommitteeofShenzhenMunicipality(no.JCYJ20210324120202007),theShenzhen Sci-T ech Fund(no.YTDPT20181011104007),theT encent RoboticsXLabRhino-BirdFocused ResearchProgram(T encent JR2021TEG001),andtheGuangdongProvincialKeyLaboratory Program(no.2021B1212040001).Authorcontributions:C.F .G. andJ.S.conceivedtheideaand designed the research. J.S. performed most of the experiments. Y .D. designed the signal acquisitionsystemandR.Z.preparedthecircuit.J.S.,S.X.,andN.B.analyzedthesensing properties.G.L.andJ.W .analyzedtheinterfacialperformance.M.C.performedSEMobservation. Y .Z. analyzedtheperformanceofelectrodes.J.S.performedtheisolatedionicgelfabrication. Y .C. and Y .F .Z. performed object recognition by machine learning. C.F .G., J.S., and Y .D. drafted themanuscript,andallauthorscontributedtothewritingofthemanuscript.Competing interests:Theauthorsdeclarethattheyhav enocompetinginterest.Dataandmaterials availability:Alldataneededtoevaluatetheconclusionsinthepaperarepresentinthepaper and/ortheSupplementaryMaterials.
WOS Research Area
Science & Technology - Other Topics
WOS Subject
Multidisciplinary Sciences
WOS Accession No
WOS:000948527600011
Publisher
EI Accession Number
20231013694119
EI Keywords
Capacitive sensors ; Crosstalk ; Mechanical stability ; Microstructure ; Object recognition ; Tactile sensors
ESI Classification Code
Robotics:731.5 ; Robot Applications:731.6 ; Control Devices:732 ; Materials Science:951
Data Source
EV Compendex
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/519680
DepartmentDepartment of Materials Science and Engineering
Affiliation
1.Department of Materials Science and Engineering, Southern University of Science and Technology, Guangdong, Shenzhen; 518055, China
2.Tencent Robotics X, Guangdong, Shenzhen; 518000, China
3.Department of Physics and TcSUH, University of Houston, Houston; TX; 77204, United States
4.Department of Engineering Science and Mechanics, Pennsylvania State University, University Park; PA; 16802, United States
5.Department of Biomedical Engineering, Pennsylvania State University, University Park; PA; 16802, United States
6.Department of Materials Science and Engineering, Materials Research Institute, Pennsylvania State University, University Park; PA; 16802, United States
7.Centers for Mechanical Engineering Research, Education at MIT and SUSTech, Southern University of Science and Technology, Guangdong, Shenzhen; 518055, China
8.Guangdong Provincial Key Laboratory of Functional Oxide Materials and Devices, Southern University of Science and Technology, Guangdong, Shenzhen; 518055, China
First Author AffilicationDepartment of Materials Science and Engineering
Corresponding Author AffilicationDepartment of Materials Science and Engineering;  Southern University of Science and Technology;  
First Author's First AffilicationDepartment of Materials Science and Engineering
Recommended Citation
GB/T 7714
Shi, Junli,Dai, Yuan,Cheng, Yu,et al. Embedment of sensing elements for robust, highly sensitive, and cross-talk-free iontronic skins for robotics applications[J]. Science Advances,2023,9(9).
APA
Shi, Junli.,Dai, Yuan.,Cheng, Yu.,Xie, Sai.,Li, Gang.,...&Guo, Chuan Fei.(2023).Embedment of sensing elements for robust, highly sensitive, and cross-talk–free iontronic skins for robotics applications.Science Advances,9(9).
MLA
Shi, Junli,et al."Embedment of sensing elements for robust, highly sensitive, and cross-talk–free iontronic skins for robotics applications".Science Advances 9.9(2023).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Export to Excel
Export to Csv
Altmetrics Score
Google Scholar
Similar articles in Google Scholar
[Shi, Junli]'s Articles
[Dai, Yuan]'s Articles
[Cheng, Yu]'s Articles
Baidu Scholar
Similar articles in Baidu Scholar
[Shi, Junli]'s Articles
[Dai, Yuan]'s Articles
[Cheng, Yu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Shi, Junli]'s Articles
[Dai, Yuan]'s Articles
[Cheng, Yu]'s Articles
Terms of Use
No data!
Social Bookmark/Share
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.