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Nanomaterial-Based Artificial Vision Systems: From Bioinspired Electronic Eyes to In-Sensor Processing Devices

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Abstract
High-performance robotic vision empowers mobile and humanoid robots to detect and identify their surrounding objects efficiently, which enables them to cooperate with humans and assist human activities. For error-free execution of these robots’ tasks, efficient imaging and data processing capabilities are essential, even under diverse and complex environments. However, conventional technologies fall short of meeting the high-standard requirements of robotic vision under such circumstances. Here, we discuss recent progress in artificial vision systems with high-performance imaging and data processing capabilities enabled by distinctive electrical, optical, and mechanical characteristics of nanomaterials surpassing the limitations of traditional silicon technologies. In particular, we focus on nanomaterial-based electronic eyes and in-sensor processing devices inspired by biological eyes and animal visual recognition systems, respectively. We provide perspectives on key nanomaterials, device components, and their functionalities, as well as explain the remaining challenges and future prospects of the artificial vision systems. © 2024 American Chemical Society.
Author(s)
Choi, ChangsoonLee, Gil JuChang, SehuiSong, Young MinKim, Dae-Hyeong
Issued Date
2024-01
Type
Article
DOI
10.1021/acsnano.3c10181
URI
https://scholar.gist.ac.kr/handle/local/9784
Publisher
American Chemical Society
Citation
ACS Nano, v.18, no.2, pp.1241 - 1256
ISSN
1936-0851
Appears in Collections:
Department of Electrical Engineering and Computer Science > 1. Journal Articles
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