Artificial skin perception
Skin is the largest organ with the functionalities of protection, regulation and sensation. The emulation of human skin via flexible and stretchable electronics gives rise to electronic skin (e-skin), which has realized artificial sensations and other functions that cannot be achieved by conventiona...
Saved in:
Main Authors: | , , , , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/148020 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-148020 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1480202023-07-14T16:02:50Z Artificial skin perception Wang, Ming Luo, Yifei Wang, Ting Wan, Changjin Pan, Liang Pan, Shaowu He, Ke Neo, Aden Chen, Xiaodong School of Materials Science and Engineering Innovative Centre for Flexible Devices Engineering::Materials Artificial Skin Soft Robotics Skin is the largest organ with the functionalities of protection, regulation and sensation. The emulation of human skin via flexible and stretchable electronics gives rise to electronic skin (e-skin), which has realized artificial sensations and other functions that cannot be achieved by conventional electronics, such as stretchability and self-healing. To date, tremendous progress has been made in data acquisition and transmission for e-skin systems, while the implementation of perception within systems, i.e. sensory data processing, is still in its infancy. Integrating the perception functionality into a flexible and stretchable sensing system, namely artificial skin perception, is critical to endow current e-skin systems with higher intelligence. Here, recent progresses in the design and fabrication of artificial skin perception devices and systems are summarized, as well as challenges and prospects are discussed. The strategies for implementing artificial skin perception utilize either conventional silicon-based circuits or novel flexible computing devices such as memristive devices and synaptic transistors, which enable artificial skin to surpass the human skin with a distributed, low-latency and energy-efficient information processing ability. In future, artificial skin perception would be a new enabling technology to construct next-generation intelligent electronic devices and systems, paving the way for advanced soft robotic applications, such as surgical assistance, rehabilitation, and prosthetics. Agency for Science, Technology and Research (A*STAR) Ministry of Education (MOE) National Research Foundation (NRF) Accepted version We thank the financial support from the Agency for Science, Technology and Research (A*STAR) under its AME Programmatic Funding Scheme for the Project of Cyber- Physiochemical Interfaces (Project #A18A1b0045), Singapore Ministry of Education (MOE2017-T2-2-107 and MOE2019-T2-2-022), and the National Research Foundation (NRF), Prime Minister’s office, Singapore, under its NRF Investigatorship (NRF-NRFI2017- 07). 2021-05-05T07:54:02Z 2021-05-05T07:54:02Z 2020 Journal Article Wang, M., Luo, Y., Wang, T., Wan, C., Pan, L., Pan, S., He, K., Neo, A. & Chen, X. (2020). Artificial skin perception. Advanced Materials, In press-. https://dx.doi.org/10.1002/adma.202003014 1521-4095 https://hdl.handle.net/10356/148020 10.1002/adma.202003014 In press en Advanced Materials This is the peer reviewed version of the following article: Wang, M., Luo, Y., Wang, T., Wan, C., Pan, L., Pan, S., He, K., Neo, A. & Chen, X. (2020). Artificial skin perception. Advanced Materials, In press-. https://dx.doi.org/10.1002/adma.202003014, which has been published in final form at https://doi.org/10.1002/adma.202003014. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Engineering::Materials Artificial Skin Soft Robotics |
spellingShingle |
Engineering::Materials Artificial Skin Soft Robotics Wang, Ming Luo, Yifei Wang, Ting Wan, Changjin Pan, Liang Pan, Shaowu He, Ke Neo, Aden Chen, Xiaodong Artificial skin perception |
description |
Skin is the largest organ with the functionalities of protection, regulation and sensation. The emulation of human skin via flexible and stretchable electronics gives rise to electronic skin (e-skin), which has realized artificial sensations and other functions that cannot be achieved by conventional electronics, such as stretchability and self-healing. To date, tremendous progress has been made in data acquisition and transmission for e-skin systems, while the implementation of perception within systems, i.e. sensory data processing, is still in its infancy. Integrating the perception functionality into a flexible and stretchable sensing system, namely artificial skin perception, is critical to endow current e-skin systems with higher intelligence. Here, recent progresses in the design and fabrication of artificial skin perception devices and systems are summarized, as well as challenges and prospects are discussed. The strategies for implementing artificial skin perception utilize either conventional silicon-based circuits or novel flexible computing devices such as memristive devices and synaptic transistors, which enable artificial skin to surpass the human skin with a distributed, low-latency and energy-efficient information processing ability. In future, artificial skin perception would be a new enabling technology to construct next-generation intelligent electronic devices and systems, paving the way for advanced soft robotic applications, such as surgical assistance, rehabilitation, and prosthetics. |
author2 |
School of Materials Science and Engineering |
author_facet |
School of Materials Science and Engineering Wang, Ming Luo, Yifei Wang, Ting Wan, Changjin Pan, Liang Pan, Shaowu He, Ke Neo, Aden Chen, Xiaodong |
format |
Article |
author |
Wang, Ming Luo, Yifei Wang, Ting Wan, Changjin Pan, Liang Pan, Shaowu He, Ke Neo, Aden Chen, Xiaodong |
author_sort |
Wang, Ming |
title |
Artificial skin perception |
title_short |
Artificial skin perception |
title_full |
Artificial skin perception |
title_fullStr |
Artificial skin perception |
title_full_unstemmed |
Artificial skin perception |
title_sort |
artificial skin perception |
publishDate |
2021 |
url |
https://hdl.handle.net/10356/148020 |
_version_ |
1773551199646121984 |