Please use this identifier to cite or link to this item:
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-.
Project: A18A1b0045 
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.
ISSN: 0935-9648
DOI: 10.1002/adma.202201962
Rights: © 2022 Wiley-VCH GmbH. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MSE Journal Articles

Citations 50

Updated on Jan 31, 2023

Web of ScienceTM
Citations 50

Updated on Feb 6, 2023

Page view(s)

Updated on Feb 6, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.