Choi, Changsoon Lee, Gil Ju Chang, Sehui Song, Young Min Kim, Dae-Hyeong 2024-02-07T05:12:25Z 2024-02-07T05:12:25Z 2024-02-02 2024-01 1936-0851 https://pubs.kist.re.kr/handle/201004/148538 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. English American Chemical Society Nanomaterial-Based Artificial Vision Systems: From Bioinspired Electronic Eyes to In-Sensor Processing Devices Article 10.1021/acsnano.3c10181 1 ACS Nano, v.18, no.2, pp.1241 - 1256 ACS Nano 18 2 1241 1256 N scie scopus 001144004600001 2-s2.0-85181832961 Chemistry, Multidisciplinary Chemistry, Physical Nanoscience & Nanotechnology Materials Science, Multidisciplinary Chemistry Science & Technology - Other Topics Materials Science Review ARRAY TECHNOLOGY CAMERAS DESIGNS nanomaterial soft electronics robotic vision bioinspired electronic eye in-sensorprocessing