Liu, F. , Deswal, S. , Christou, A., Sandamirskaya, Y., Kaboli, M. and Dahiya, R. (2022) Neuro-inspired electronic skin for robots. Science Robotics, 7(67), eabl7344. (doi: 10.1126/scirobotics.abl7344) (PMID:35675450)
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Abstract
Touch is a complex sensing modality owing to large number of receptors (mechano, thermal, pain) nonuniformly embedded in the soft skin all over the body. These receptors can gather and encode the large tactile data, allowing us to feel and perceive the real world. This efficient somatosensation far outperforms the touch-sensing capability of most of the state-of-the-art robots today and suggests the need for neural-like hardware for electronic skin (e-skin). This could be attained through either innovative schemes for developing distributed electronics or repurposing the neuromorphic circuits developed for other sensory modalities such as vision and audio. This Review highlights the hardware implementations of various computational building blocks for e-skin and the ways they can be integrated to potentially realize human skin–like or peripheral nervous system–like functionalities. The neural-like sensing and data processing are discussed along with various algorithms and hardware architectures. The integration of ultrathin neuromorphic chips for local computation and the printed electronics on soft substrate used for the development of e-skin over large areas are expected to advance robotic interaction as well as open new avenues for research in medical instrumentation, wearables, electronics, and neuroprosthetics.
| Item Type: | Articles |
|---|---|
| Additional Information: | Funding: This work was supported by Engineering and Physical Sciences Research Council (EPSRC) through Engineering Fellowship for Growth - neuPRINTSKIN (EP/R029644/1) and Hetero-print Programme Grant (EP/R03480X/1). |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Dahiya, Professor Ravinder and Christou, Mr Adamos and Deswal, Dr Sweety and Liu, Mr Fengyuan |
| Authors: | Liu, F., Deswal, S., Christou, A., Sandamirskaya, Y., Kaboli, M., and Dahiya, R. |
| College/School: | College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
| Journal Name: | Science Robotics |
| Publisher: | American Association for the Advancement of Science |
| ISSN: | 2470-9476 |
| ISSN (Online): | 2470-9476 |
| Published Online: | 08 June 2022 |
| Copyright Holders: | Copyright © 2022 The Authors, some rights reserved |
| First Published: | First published in Science Robotics 7(67): eabl7344 |
| Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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