Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163238
Title: Tactile near-sensor analogue computing for ultrafast responsive artificial skin
Authors: Wang, Ming
Tu, Jiaqi
Huang, Zhangcheng
Wang, Ting
Liu, Zhihua
Zhang, Feilong
Li, Wenlong
He, Ke
Pan, Liang
Zhang, Xumeng
Feng, Xue
Liu, Qi
Liu, Ming
Chen, Xiaodong
Keywords: Engineering::Materials
Issue Date: 2022
Source: Wang, M., Tu, J., Huang, Z., Wang, T., Liu, Z., Zhang, F., Li, W., He, K., Pan, L., Zhang, X., Feng, X., Liu, Q., Liu, M. & Chen, X. (2022). Tactile near-sensor analogue computing for ultrafast responsive artificial skin. Advanced Materials, 34(34), 2201962-. https://dx.doi.org/10.1002/adma.202201962
Project: A18A1b0045 
NRF-NRFI2017-07 
MOE2019-T2-2-022 
Journal: Advanced Materials 
Abstract: Ultrafast artificial skin enables unprecedented tactile internet applications in prosthetics, robotics, and human-machine interactions. However, current artificial skin systems that rely on front-end interface electronics typically perform redundant data transfer and analogue-to-digital conversions for decision-making, causing long latency (milliseconds). Here, a near-sensor analogue computing system based on a flexible memristor array for artificial skin applications is reported. This system, which seamlessly integrates a tactile sensor array with a flexible hafnium oxide memristor array, can simultaneously sense and compute raw multiple analogue pressure signals without interface electronics. As a proof-of-concept, the system is used for real-time noise reduction and edge detection of tactile stimuli. One sensing-computing operation of this system takes about 400 ns and consumes on average 1000 times less power than a conventional interface electronic system. The results demonstrate that near-sensor analogue computing offers an ultrafast and energy-efficient route to large-scale artificial skin systems.
URI: https://hdl.handle.net/10356/163238
ISSN: 0935-9648
DOI: 10.1002/adma.202201962
Schools: School of Materials Science and Engineering 
Research Centres: Innovative Center for Flexible Devices (iFLEX)
Rights: © 2022 Wiley-VCH GmbH. All rights reserved. This is the peer reviewed version of the following article: Wang, M., Tu, J., Huang, Z., Wang, T., Liu, Z., Zhang, F., Li, W., He, K., Pan, L., Zhang, X., Feng, X., Liu, Q., Liu, M. & Chen, X. (2022). Tactile near-sensor analogue computing for ultrafast responsive artificial skin. Advanced Materials, 34(34), 2201962-, which has been published in final form at https://doi.org/10.1002/adma.202201962. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MSE Journal Articles

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