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Mathematical Model and Experimental Characterization of Vertically Stacked Capacitive Tactile Sensors

Giulia Baldini, Marco Staiano, Francesco Grella, Mattia Frascio, Perla Maiolino, Giorgio Cannata

Year
2023
Citations
3
Access
Open access

Abstract

Capacitive sensors are widely used in robotics for their compactness, high resolution, high sensitivity and large dynamic range. In this paper we present a design solution for the manufacturing of capacitive tactile sensors with enhanced dynamic range and sensitivity. Herein, we adopted the approach of exploiting the vertical direction of the sensors by creating stacks of capacitors. The validation of the proposed model is conducted by means of finite element simulations and the effectiveness of stacked capacitors in sub-optimal configurations has been experimentally tested by using inkjet printing and spin coating- based fabrication techniques. Results show that these sensors exhibit an enhanced dynamic range and sensitivity with respect to common single capacitors, for a given sensors area budget. Sensitivity increases of 235% passing from 1 stack to 2 stack capacitor (from 5.75 fF/kPa to 19.3 fF/kPa) and a growth of 23% from 2 stack to 3 stack capacitor (from 19.3 fF/kPa to 23.7 fF/kPa). These results suggest that the proposed methodology could be adopted for designing tactile sensors with higher spatial resolution and higher transduction sensitivity and dynamic range, in perspective of an integration over large areas.

Keywords

Capacitive sensingCapacitorStack (abstract data type)Sensitivity (control systems)Tactile sensorElectronic engineeringDynamic rangeMaterials scienceFinite element methodImage resolution

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