Wireless and Flexible Tactile Sensing Array Based on an Adjustable Resonator with Machine‐Learning Perception
Abstract Intelligent soft robotics and wearable electronics require flexible, wireless radio frequency (RF) pressure sensors for human‐like tactile perception of their moving parts. Existing devices face two challenges for array extension: the construction of sensitive units over a limited area and...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley-VCH
2023-06-01
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| Series: | Advanced Electronic Materials |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aelm.202201334 |
| _version_ | 1827805513237135360 |
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| author | Baochun Xu Da Chen Yu Wang Ruili Tang Lina Yang Hui Feng Yijian Liu Zhuopeng Wang Fei Wang Tong Zhang |
| author_facet | Baochun Xu Da Chen Yu Wang Ruili Tang Lina Yang Hui Feng Yijian Liu Zhuopeng Wang Fei Wang Tong Zhang |
| author_sort | Baochun Xu |
| collection | DOAJ |
| description | Abstract Intelligent soft robotics and wearable electronics require flexible, wireless radio frequency (RF) pressure sensors for human‐like tactile perception of their moving parts. Existing devices face two challenges for array extension: the construction of sensitive units over a limited area and the handling of resonant peaks overlapping within the channel width. Herein, a simply adjustable RF‐resonator‐based tactile array (RFTA) is reported, in which the initial frequency of each resonator unit is regulated by doping polydimethylsiloxane (PDMS) dielectric layers with various concentrations of multiwalled carbon nanotubes (MWCNTs). An array is constructed using four sensor units with a frequency interval of 15 MHz and a multi‐layer micropyramid structure is employed to obtain a low detection limit (<1 Pa) and high sensitivity (17.49 MHz kPa‐1 in the low‐pressure range). A machine‐learning‐based strategy identifies tactile positions precisely via a one‐time S11 reading, achieving 98.5% accuracy with six stimulation modes. Furthermore, the RFTA distinguishes six objects during the grasping process when installed on a soft manipulator. The device shows considerable potential to be extended for flexible moving scenarios and high‐integrated tactile sensing systems for soft robotics. |
| first_indexed | 2024-03-11T21:26:15Z |
| format | Article |
| id | doaj.art-c7f1fcd4011a40c88f41ea1f506a409c |
| institution | Directory Open Access Journal |
| issn | 2199-160X |
| language | English |
| last_indexed | 2024-03-11T21:26:15Z |
| publishDate | 2023-06-01 |
| publisher | Wiley-VCH |
| record_format | Article |
| series | Advanced Electronic Materials |
| spelling | doaj.art-c7f1fcd4011a40c88f41ea1f506a409c2023-09-28T04:47:42ZengWiley-VCHAdvanced Electronic Materials2199-160X2023-06-0196n/an/a10.1002/aelm.202201334Wireless and Flexible Tactile Sensing Array Based on an Adjustable Resonator with Machine‐Learning PerceptionBaochun Xu0Da Chen1Yu Wang2Ruili Tang3Lina Yang4Hui Feng5Yijian Liu6Zhuopeng Wang7Fei Wang8Tong Zhang9College of Electronic and Information Engineering Shandong University of Science and Technology Qingdao 266590 ChinaCollege of Electronic and Information Engineering Shandong University of Science and Technology Qingdao 266590 ChinaCollege of Electronic and Information Engineering Shandong University of Science and Technology Qingdao 266590 ChinaCollege of Electronic and Information Engineering Shandong University of Science and Technology Qingdao 266590 ChinaCollege of Electronic and Information Engineering Shandong University of Science and Technology Qingdao 266590 ChinaCollege of Electronic and Information Engineering Shandong University of Science and Technology Qingdao 266590 ChinaCollege of Electronic and Information Engineering Shandong University of Science and Technology Qingdao 266590 ChinaCollege of Electronic and Information Engineering Shandong University of Science and Technology Qingdao 266590 ChinaCollege of Electronic and Information Engineering Shandong University of Science and Technology Qingdao 266590 ChinaCollege of Electronic and Information Engineering Shandong University of Science and Technology Qingdao 266590 ChinaAbstract Intelligent soft robotics and wearable electronics require flexible, wireless radio frequency (RF) pressure sensors for human‐like tactile perception of their moving parts. Existing devices face two challenges for array extension: the construction of sensitive units over a limited area and the handling of resonant peaks overlapping within the channel width. Herein, a simply adjustable RF‐resonator‐based tactile array (RFTA) is reported, in which the initial frequency of each resonator unit is regulated by doping polydimethylsiloxane (PDMS) dielectric layers with various concentrations of multiwalled carbon nanotubes (MWCNTs). An array is constructed using four sensor units with a frequency interval of 15 MHz and a multi‐layer micropyramid structure is employed to obtain a low detection limit (<1 Pa) and high sensitivity (17.49 MHz kPa‐1 in the low‐pressure range). A machine‐learning‐based strategy identifies tactile positions precisely via a one‐time S11 reading, achieving 98.5% accuracy with six stimulation modes. Furthermore, the RFTA distinguishes six objects during the grasping process when installed on a soft manipulator. The device shows considerable potential to be extended for flexible moving scenarios and high‐integrated tactile sensing systems for soft robotics.https://doi.org/10.1002/aelm.202201334adjustable frequencymachine learningradio‐frequency resonatorstactile sensors |
| spellingShingle | Baochun Xu Da Chen Yu Wang Ruili Tang Lina Yang Hui Feng Yijian Liu Zhuopeng Wang Fei Wang Tong Zhang Wireless and Flexible Tactile Sensing Array Based on an Adjustable Resonator with Machine‐Learning Perception Advanced Electronic Materials adjustable frequency machine learning radio‐frequency resonators tactile sensors |
| title | Wireless and Flexible Tactile Sensing Array Based on an Adjustable Resonator with Machine‐Learning Perception |
| title_full | Wireless and Flexible Tactile Sensing Array Based on an Adjustable Resonator with Machine‐Learning Perception |
| title_fullStr | Wireless and Flexible Tactile Sensing Array Based on an Adjustable Resonator with Machine‐Learning Perception |
| title_full_unstemmed | Wireless and Flexible Tactile Sensing Array Based on an Adjustable Resonator with Machine‐Learning Perception |
| title_short | Wireless and Flexible Tactile Sensing Array Based on an Adjustable Resonator with Machine‐Learning Perception |
| title_sort | wireless and flexible tactile sensing array based on an adjustable resonator with machine learning perception |
| topic | adjustable frequency machine learning radio‐frequency resonators tactile sensors |
| url | https://doi.org/10.1002/aelm.202201334 |
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