Wireless and Flexible Tactile Sensing Array Based on an Adjustable Resonator with Machine‐Learning Perception

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 handl...

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Bibliographic Details
Published in:Advanced electronic materials 2023-06, Vol.9 (6), p.n/a
Main Authors: Xu, Baochun, Chen, Da, Wang, Yu, Tang, Ruili, Yang, Lina, Feng, Hui, Liu, Yijian, Wang, Zhuopeng, Wang, Fei, Zhang, Tong
Format: Article
Language:English
Subjects:
adjustable frequency
Arrays
Grasping (robotics)
Machine learning
Multi wall carbon nanotubes
Perception
Polydimethylsiloxane
Polyvinyl alcohol
Pressure sensors
Radio frequency
radio‐frequency resonators
Resonators
Robot arms
Robotics
Sensor arrays
Sensors
Skin
Soft robotics
Tactile discrimination
tactile sensors
Tactile sensors (robotics)
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Summary: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 (
ISSN:2199-160X
2199-160X
DOI:10.1002/aelm.202201334