中文版 | English
题名

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

作者
通讯作者Guo, Chuan Fei
发表日期
2023-03-03
DOI
发表期刊
ISSN
2375-2548
EISSN
2375-2548
卷号9期号:9
摘要
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;
相关链接[来源记录]
收录类别
EI ; SCI
语种
英语
重要成果
NI期刊 ; ESI高被引 ; NI论文
学校署名
第一 ; 通讯
资助项目
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研究方向
Science & Technology - Other Topics
WOS类目
Multidisciplinary Sciences
WOS记录号
WOS:000948527600011
出版者
EI入藏号
20231013694119
EI主题词
Capacitive sensors ; Crosstalk ; Mechanical stability ; Microstructure ; Object recognition ; Tactile sensors
EI分类号
Robotics:731.5 ; Robot Applications:731.6 ; Control Devices:732 ; Materials Science:951
来源库
EV Compendex
引用统计
被引频次[WOS]:57
成果类型期刊论文
条目标识符//www.snoollab.com/handle/2SGJ60CL/519680
专题工学院_材料科学与工程系
工学院_生物医学工程系
作者单位
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
第一作者单位材料科学与工程系
通讯作者单位材料科学与工程系;  
第一作者的第一单位材料科学与工程系
推荐引用方式
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).
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