Easy Integrability and Data Processing of a Soft Tactile Array Sensor Through Reconfiguration

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Samenvatting

Most soft tactile sensors require a large number of wires to read the sensed data and complex algorithms to treat them. This makes the integration of soft tactile sensors challenging in full robotic systems. In order to simplify the integration of those soft devices, a new type of soft tactile array sensor is proposed. The sensitive keys of the sensor are made of three different self-healing Diels-Alder (DA) conductive polymers. The key positions in the sensor array are optimized in order to maximize the sensor accuracy in detecting pressed key positions and limit the number of wires required to read the sensor data. Since DA polymers are used, the keys are robustly connected to each other, ensuring high interfacial strength and conductivity while allowing reconfiguration. The reversible covalent bonds of the DA polymer allow the keys to be cut and healed back together to reform another tactile sensor tailored for another application with full recovery of the initial mechanical and electrical properties. In this work, two study cases are investigated: a keypad and a position sensor. The novel soft tactile array could reach an accuracy as low as 1.31% for the keypad and 3.8% for the position sensor compared with the developed sensor model. The keypad has a 90% success rate, whereas the position sensor has a 64% success rate.

Originele taal-2English
Artikelnummer7
Pagina's (van-tot)7719 - 7727
Aantal pagina's9
TijdschriftIEEE Sensors Journal
Volume23
Nummer van het tijdschrift7
DOI's
StatusPublished - 1 apr 2023

Bibliografische nota

Funding Information:
This work was supported by the SHERO Project, a Future and Emerging Technologies (FET) Program of the European Commission under Grant 828818. The work of Julie Legrand was supported by the Personal FWO under Grant 12Y8622N. The work of Ellen Roels was supported by the Personal FWO under Grant 1S84120N.

Publisher Copyright:
© 2001-2012 IEEE.

Copyright:
Copyright 2023 Elsevier B.V., All rights reserved.

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