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Sensorimotor Correlation Using Printed Synaptic Transistors and Conditioning PCB

Authors :
Liu, Fengyuan
Shojaei Baghini, Mahdieh
Chakraborty, Moupali
Christou, Adamos
Dahiya, Ravinder
Source :
2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS).
Publication Year :
2022
Publisher :
IEEE, 2022.

Abstract

The advances in robotics are often inspired by biological systems, which have attained harmonised functionality and efficiency through billions of years of evolution. Motivated by the nature, this paper presents the realisation of sensorimotor correlation using printed synaptic transistor. While such a concept has drawn increasing attention recently, no report on the adopted technology details has been published. To this end, this paper specifically presents the technical elements for the practical realisation of the concept through printed synaptic transistor and the development of the conditioning printed circuit board (PCB) for operating the as-realised device. This work presents a possible roadmap for the future advancement towards e-Skin with neural-like processing capability through a heterogeneous integration of printed circuits on flexible PCBs.

Details

ISBN :
978-1-66544-273-2
ISBNs :
9781665442732
Database :
OpenAIRE
Journal :
2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)
Accession number :
edsair.doi.dedup.....da50755bfc408eaffa947f2fc56c42ac