{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T15:56:44Z","timestamp":1774281404368,"version":"3.50.1"},"reference-count":57,"publisher":"American Association for the Advancement of Science (AAAS)","issue":"75","content-domain":{"domain":["www.science.org"],"crossmark-restriction":true},"short-container-title":["Sci. Robot."],"published-print":{"date-parts":[[2023,2,22]]},"abstract":"<jats:p>\n            With the rise of mobile robotics, including self-driving automobiles and drones, developing artificial vision for high-contrast and high-acuity imaging in vertically uneven illumination conditions has become an important goal. In such situations, balancing uneven illumination, improving image contrast for facile object detection, and achieving high visual acuity in the main visual fields are key requirements. Meanwhile, in nature, cuttlefish (genus\n            <jats:italic>Sepia<\/jats:italic>\n            ) have evolved an eye optimized for vertically uneven illumination conditions, which consists of a W-shaped pupil, a single spherical lens, and a curved retina with a high-density photoreceptor arrangement and polarized light sensitivity. Here, inspired by the cuttlefish eye, we report an artificial vision system consisting of a W-shaped pupil, a single ball lens, a surface-integrated flexible polarizer, and a cylindrical silicon photodiode array with a locally densified pixel arrangement. The W-shaped pupil integrated on the ball lens balances vertically uneven illumination, and the cylindrical silicon photodiode array integrated with the flexible polarizer enables high-contrast and high-acuity imaging.\n          <\/jats:p>","DOI":"10.1126\/scirobotics.ade4698","type":"journal-article","created":{"date-parts":[[2023,2,15]],"date-time":"2023-02-15T18:59:00Z","timestamp":1676487540000},"update-policy":"https:\/\/doi.org\/10.34133\/aaas_crossmark","source":"Crossref","is-referenced-by-count":56,"title":["Cuttlefish eye\u2013inspired artificial vision for high-quality imaging under uneven illumination conditions"],"prefix":"10.1126","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2468-2061","authenticated-orcid":true,"given":"Minsung","family":"Kim","sequence":"first","affiliation":[{"name":"School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, Seoul 08826, Republic of Korea."},{"name":"Center for Nanoparticle Research, Institute for Basic Science (IBS), Seoul 08826, Republic of Korea."},{"name":"Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA."}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2216-0166","authenticated-orcid":true,"given":"Sehui","family":"Chang","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea."}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1790-5001","authenticated-orcid":true,"given":"Minsu","family":"Kim","sequence":"additional","affiliation":[{"name":"School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, Seoul 08826, Republic of Korea."},{"name":"Center for Nanoparticle Research, Institute for Basic Science (IBS), Seoul 08826, Republic of Korea."}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4414-3882","authenticated-orcid":true,"given":"Ji-Eun","family":"Yeo","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea."}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2614-9607","authenticated-orcid":true,"given":"Min Seok","family":"Kim","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea."}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2225-2738","authenticated-orcid":true,"given":"Gil Ju","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Electronics Engineering, Pusan National University, Busan 46241, Republic of Korea."}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4722-1893","authenticated-orcid":true,"given":"Dae-Hyeong","family":"Kim","sequence":"additional","affiliation":[{"name":"School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, Seoul 08826, Republic of Korea."},{"name":"Center for Nanoparticle Research, Institute for Basic Science (IBS), Seoul 08826, Republic of Korea."},{"name":"Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea."}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4473-6883","authenticated-orcid":true,"given":"Young Min","family":"Song","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea."},{"name":"AI Graduate School, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea."}]}],"member":"221","reference":[{"key":"e_1_3_2_2_2","first-page":"501","article-title":"Sensor and object recognition technologies for self-driving cars","volume":"15","author":"Hirz M.","year":"2018","unstructured":"M.\u00a0Hirz, B.\u00a0Walzel, Sensor and object recognition technologies for self-driving cars. 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