Tactile Near-Sensor Analogue Computing for Ultrafast Responsive Artificial Skin.
flexible electronics
in-memory computing
memristors
near-sensor computing
tactile computing
Journal
Advanced materials (Deerfield Beach, Fla.)
ISSN: 1521-4095
Titre abrégé: Adv Mater
Pays: Germany
ID NLM: 9885358
Informations de publication
Date de publication:
Aug 2022
Aug 2022
Historique:
revised:
11
06
2022
received:
01
03
2022
pubmed:
12
7
2022
medline:
27
8
2022
entrez:
11
7
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 35816720
doi: 10.1002/adma.202201962
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2201962Subventions
Organisme : National Key R&D Program of China
ID : 2021YFB3601200
Organisme : National Nature Science Foundation of China
ID : 62104042
Organisme : Agency for Science, Technology and Research
ID : A18A1b0045
Organisme : National Research Foundation Singapore
ID : NRF-NRFI2017-07
Organisme : Singapore Ministry of Education
ID : MOE2019-T2-2-022
Informations de copyright
© 2022 Wiley-VCH GmbH.
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