Embedding Soft Material Channels for Tactile Sensing of Complex SurfacesuStructural Optimization

doi:10.1109/JSEN.2023.3339184

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	Embedding Soft Material Channels for Tactile Sensing of Complex SurfacesuStructural Optimization
	Hu, Jian 5,6; Wang, Shuai 5; Zhang, Guokai 5; Back, Junghwan 4; Dasgupta, Prokar 2,3; Liu, Hongbin 1,5,6
刊名	IEEE SENSORS JOURNAL
	2024-02-01
卷号	24 期号:3 页码:3618-3627
关键词	Optical tactile sensors optimization soft sensors
ISSN号	1530-437X
DOI	10.1109/JSEN.2023.3339184
通讯作者	Liu, Hongbin(liuhongbin@ia.ac.cn)
英文摘要	In previous work, we demonstrated the creation of bespoke tactile elements on 3-D surfaces through the "Embedding Soft material into Structure ENabling Tactile sensing" (ESSENT) approach. Each tactile sensing channel is filled with soft material, transforming applied force at one end of the channel into a microdeformation at the other end of the channel, measured by means of emitting light and sensing the intensity of the reflected light. However, due to the large number of design parameters of the sensing channel structure, it is difficult to predict the optimal parameters for the desired tactile sensing specifications. In such case, consistent performance among multiple tactile sensing channels requires a tedious trial-and-error approach. Such problem deteriorates rapidly with the increase in the number of tactile sensing elements, hindering the widespread adoption of ESSENT technology toward high-density arrays and complex surface layouts. To address this challenge, this article presents a multiobjective optimization method for designing the parameters of ESSENT sensing channels. Theoretical predictions and experimental results show that by identifying the channel design parameters, sensing consistency can be significantly improved. Describing by mean square deviation, the value based on the best optimization result (0.0394) is seven times better than nonoptimized sensing channels (0.2865). Moreover, by calculating the sensitivity of different channels in an array sensor, we found that the variance of sensitivity across sensing channels after optimization is one order of magnitude smaller than that without optimization.
资助项目	Engineering and Physical Sciences Research Council (EPSRC)[EP/R013977/1] ; InnoHK Program
WOS关键词	SENSOR
WOS研究方向	Engineering ; Instruments & Instrumentation ; Physics
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:001243040000106
资助机构	Engineering and Physical Sciences Research Council (EPSRC) ; InnoHK Program
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/58751]
专题	智能微创医疗技术团队
通讯作者	Liu, Hongbin
作者单位	1.Kings Coll London, Sch Biomed Engn & Imaging Sci, Hapt Mechatron & Med Robot HaMMeR Lab, London WC2R 2LS, England 2.Guys & St Thomas NHS Fdn Trust, Urol, London SE1 7EH, England 3.Kings Coll London, NIHR Biomed Res Ctr, MRC Ctr Transplantat, London SE1 9RT, England 4.Haptron Sci Ltd, Shenzhen 518000, Peoples R China 5.Chinese Acad Sci, Hong Kong Inst Sci & Innovat, CAIR, Hong Kong, Peoples R China 6.Chinese Acad Sci CASIA, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Hu, Jian,Wang, Shuai,Zhang, Guokai,et al. Embedding Soft Material Channels for Tactile Sensing of Complex SurfacesuStructural Optimization[J]. IEEE SENSORS JOURNAL,2024,24(3):3618-3627.
APA	Hu, Jian,Wang, Shuai,Zhang, Guokai,Back, Junghwan,Dasgupta, Prokar,&Liu, Hongbin.(2024).Embedding Soft Material Channels for Tactile Sensing of Complex SurfacesuStructural Optimization.IEEE SENSORS JOURNAL,24(3),3618-3627.
MLA	Hu, Jian,et al."Embedding Soft Material Channels for Tactile Sensing of Complex SurfacesuStructural Optimization".IEEE SENSORS JOURNAL 24.3(2024):3618-3627.