期刊
ADVANCED MATERIALS
卷 34, 期 34, 页码 -出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.202201962
关键词
flexible electronics; in-memory computing; memristors; near-sensor computing; tactile computing
类别
资金
- National Key R&D Program of China [2021YFB3601200]
- National Nature Science Foundation of China [62104042]
- Agency for Science, Technology and Research (A*STAR) under its AME Programmatic Funding Scheme [A18A1b0045]
- National Research Foundation (NRF), Prime Minister's office, Singapore, under its NRF Investigatorship [NRF-NRFI2017-07]
- Singapore Ministry of Education [MOE2019-T2-2-022]
This article introduces a near-sensor analogue computing system based on a flexible memristor array for artificial skin applications. The system can simultaneously sense and compute multiple analogue pressure signals without the need for interface electronics, and offers ultrafast and energy-efficient performance.
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.
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