1. Wireless and Flexible Tactile Sensing Array Based on an Adjustable Resonator with Machine‐Learning Perception
- Author
-
Baochun Xu, Da Chen, Yu Wang, Ruili Tang, Lina Yang, Hui Feng, Yijian Liu, Zhuopeng Wang, Fei Wang, and Tong Zhang
- Subjects
adjustable frequency ,machine learning ,radio‐frequency resonators ,tactile sensors ,Electric apparatus and materials. Electric circuits. Electric networks ,TK452-454.4 ,Physics ,QC1-999 - Abstract
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 (
- Published
- 2023
- Full Text
- View/download PDF