Choi, Changsoon Lee, Gil Ju Chang, Sehui Song, Young Min Kim, Dae-Hyeong 2024-10-26T07:30:07Z 2024-10-26T07:30:07Z 2024-10-25 2024-11 0935-9648 https://pubs.kist.re.kr/handle/201004/150876 In robotics, particularly for autonomous navigation and human-robot collaboration, the significance of unconventional imaging techniques and efficient data processing capabilities is paramount. The unstructured environments encountered by robots, coupled with complex missions assigned to them, present numerous challenges necessitating diverse visual functionalities, and consequently, the development of multifunctional robotic vision systems has become indispensable. Meanwhile, rich diversity inherent in animal vision systems, honed over evolutionary epochs to meet their survival demands across varied habitats, serves as a profound source of inspirations. Here, recent advancements in multifunctional robotic vision systems drawing inspiration from natural ocular structures and their visual perception mechanisms are delineated. First, unique imaging functionalities of natural eyes across terrestrial, aerial, and aquatic habitats and visual signal processing mechanism of humans are explored. Then, designs and functionalities of bio-inspired electronic eyes are explored, engineered to mimic key components and underlying optical principles of natural eyes. Furthermore, neuromorphic image sensors are discussed, emulating functional properties of synapses, neurons, and retinas and thereby enhancing accuracy and efficiency of robotic vision tasks. Next, integration examples of electronic eyes with mobile robotic/biological systems are introduced. Finally, a forward-looking outlook on the development of bio-inspired electronic eyes and neuromorphic image sensors is provided. Rich diversity of animal vision systems provides valuable inspiration for advancing robotic vision systems. Here, recent developments in bio-inspired electronic eyes and neuromorphic image sensors drawing inspiration from natural ocular structures and their visual perception mechanisms, as well as their integration examples with mobile robotic and biological systems, are introduced. image English WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Inspiration from Visual Ecology for Advancing Multifunctional Robotic Vision Systems: Bio-inspired Electronic Eyes and Neuromorphic Image Sensors Article 10.1002/adma.202412252 1 Advanced Materials, v.36, no.48 Advanced Materials 36 48 N scie scopus 001330895900001 2-s2.0-85206167993 Chemistry, Multidisciplinary Chemistry, Physical Nanoscience & Nanotechnology Materials Science, Multidisciplinary Physics, Applied Physics, Condensed Matter Chemistry Science & Technology - Other Topics Materials Science Physics Review ARTIFICIAL COMPOUND EYES MACHINE VISION NEURAL-NETWORK CAMERA ARRAY PHOTORECEPTOR FABRICATION PERCEPTION EVOLUTION HARDWARE bioinspired device electronic eye flexible/stretchable electronics in-sensor computing robotic vision system