Liu, F. , Shojaei Baghini, M. , Chakraborty, M. , Christou, A. and Dahiya, R. (2022) Sensorimotor Correlation Using Printed Synaptic Transistors and Conditioning PCB. In: 2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS), Vienna, Austria, 10-13 Jul 2022, ISBN 9781665442732 (doi: 10.1109/FLEPS53764.2022.9781594)
Text
275628.pdf - Accepted Version 530kB |
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.
Item Type: | Conference Proceedings |
---|---|
Additional Information: | This work was supported in part by Engineering and Physical Sciences Research Council through Engineering Fellowship for Growth (EP/R029644/1) and Heteroprint Programme Grant (EP/R03480X/1). |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Shojaei Baghini, Ms Mahdieh and Dahiya, Professor Ravinder and Chakraborty, Dr Moupali and Christou, Mr Adamos and Liu, Mr Fengyuan |
Authors: | Liu, F., Shojaei Baghini, M., Chakraborty, M., Christou, A., and Dahiya, R. |
College/School: | College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
Research Group: | Bendable Electronics and Sensing Technologies |
ISBN: | 9781665442732 |
Published Online: | 10 June 2022 |
Copyright Holders: | Copyright © 2022 IEEE |
First Published: | First published in 2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS) |
Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
Related URLs: |
University Staff: Request a correction | Enlighten Editors: Update this record