A Low-Cost Super-Resolution Tactile Sensor: Design, Fabrication, and Validation

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Sensors Journal Pub Date : 2024-10-03 DOI:10.1109/JSEN.2024.3467254
Zhou Lu;Yuan Su;Qi Ye;Ze Wang;Xiufang Shi;Gaofeng Li;Jiming Chen
{"title":"A Low-Cost Super-Resolution Tactile Sensor: Design, Fabrication, and Validation","authors":"Zhou Lu;Yuan Su;Qi Ye;Ze Wang;Xiufang Shi;Gaofeng Li;Jiming Chen","doi":"10.1109/JSEN.2024.3467254","DOIUrl":null,"url":null,"abstract":"Tactile sensing, which serves as a modality parallel to vision and auditory, provides rich contact information that is irreplaceable by other modalities. Although tactile sensing technology has made great progress over past decades, existing sensors still lag far behind human skin in infinite-resolution sensing, large-area sensing, and thinness. Inspired by the bionic mechanism of human skin that has various receptors embedded into soft tissues, here we design a low-cost and super-resolution tactile sensor by embedding flexible pressure sensors into a soft silicone layer. Different to the traditional functional imitation of human receptors (e.g., Pacinian corpuscle), our focus is on the selection of the soft silicone materials to better mimic the soft tissues of human skin. When an external force is applied on the soft silicone layer, the deformation of the soft silicone can excite the response of multiple pressure sensors, which mimic the Pacinian corpuscles in human skin. Based on experimental data and practical applicability, the optimal parameters for the soft silicone layer are determined to enable more responsed Bionic human receptors for the same contact force. Then the position and magnitude of the normal force are estimated based on a reconstruction algorithm to achieve super-resolution and larger-area sensing. In addition, a human-computer interaction interface for signal collection and tactile real-time display is designed to vividly show the contact status. Experiments show that the tactile sensor can achieve normal force estimation with an average error of 0.61 N and millimeter-level super-resolution localization within a range of \n<inline-formula> <tex-math>$22.8\\times 22.8$ </tex-math></inline-formula>\n mm. Moreover, our sensor is more compact (only 6 mm in thickness) than visuo-tactile sensors (15 mm), which are the current state-of-the-art.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 22","pages":"36518-36529"},"PeriodicalIF":4.3000,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10705004/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Tactile sensing, which serves as a modality parallel to vision and auditory, provides rich contact information that is irreplaceable by other modalities. Although tactile sensing technology has made great progress over past decades, existing sensors still lag far behind human skin in infinite-resolution sensing, large-area sensing, and thinness. Inspired by the bionic mechanism of human skin that has various receptors embedded into soft tissues, here we design a low-cost and super-resolution tactile sensor by embedding flexible pressure sensors into a soft silicone layer. Different to the traditional functional imitation of human receptors (e.g., Pacinian corpuscle), our focus is on the selection of the soft silicone materials to better mimic the soft tissues of human skin. When an external force is applied on the soft silicone layer, the deformation of the soft silicone can excite the response of multiple pressure sensors, which mimic the Pacinian corpuscles in human skin. Based on experimental data and practical applicability, the optimal parameters for the soft silicone layer are determined to enable more responsed Bionic human receptors for the same contact force. Then the position and magnitude of the normal force are estimated based on a reconstruction algorithm to achieve super-resolution and larger-area sensing. In addition, a human-computer interaction interface for signal collection and tactile real-time display is designed to vividly show the contact status. Experiments show that the tactile sensor can achieve normal force estimation with an average error of 0.61 N and millimeter-level super-resolution localization within a range of $22.8\times 22.8$ mm. Moreover, our sensor is more compact (only 6 mm in thickness) than visuo-tactile sensors (15 mm), which are the current state-of-the-art.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
低成本超分辨率触觉传感器:设计、制造和验证
触觉传感是与视觉和听觉并行的一种模式,它提供的丰富接触信息是其他模式无法替代的。虽然触觉传感技术在过去几十年中取得了长足进步,但现有传感器在无限分辨率传感、大面积传感和薄度方面仍远远落后于人类皮肤。受人体皮肤将各种感受器嵌入软组织的仿生机制启发,我们在此设计了一种低成本、超分辨率的触觉传感器,将柔性压力传感器嵌入柔软的硅胶层中。与传统的人体感受器(如帕西尼氏体)功能模仿不同,我们的重点是选择软硅胶材料,以更好地模仿人体皮肤的软组织。当在软硅胶层上施加外力时,软硅胶的形变可以激发多个压力传感器的响应,从而模拟人体皮肤中的帕氏体。根据实验数据和实际应用情况,确定了软硅胶层的最佳参数,使仿生人体感受器在相同的接触力下做出更多响应。然后根据重构算法估算法向力的位置和大小,以实现超分辨率和大面积传感。此外,还设计了用于信号采集和触觉实时显示的人机交互界面,以生动地显示接触状态。实验表明,该触觉传感器可以实现平均误差为 0.61 N 的法向力估算,并在 22.8 美元乘以 22.8 美元的毫米范围内实现毫米级超分辨率定位。此外,与目前最先进的视觉-触觉传感器(15 毫米)相比,我们的传感器更加紧凑(厚度仅为 6 毫米)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
期刊最新文献
IEEE Sensors Journal Publication Information Table of Contents Front Cover IEEE Sensors Council A Clustered Routing Algorithm Based on Forwarding Mechanism Optimization
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1