{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T09:24:06Z","timestamp":1783157046597,"version":"3.54.6"},"reference-count":290,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T00:00:00Z","timestamp":1759104000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62225309, U24A20278"],"award-info":[{"award-number":["62225309, U24A20278"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62361166632"],"award-info":[{"award-number":["62361166632"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["U21A20480"],"award-info":[{"award-number":["U21A20480"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["The International Journal of Robotics Research"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:p>\n                    Detailed and realistic 3D environment representations have been a long-standing goal in the fields of computer vision and robotics. The recent emergence of neural implicit representations has introduced significant advances to these domains, enabling numerous novel capabilities. Among these, neural radiance fields (NeRFs) have gained considerable attention because of their considerable representational advantages, such as simplified mathematical models, low memory footprint, and continuous scene representations. In addition to computer vision, NeRFs have demonstrated significant potential in robotics. Thus, we present this survey to provide a comprehensive understanding of NeRFs in the field of robotics. By exploring the advantages and limitations of NeRF as well as its current applications and future potential, we aim to provide an overview of this promising area of research. Our survey is divided into two main sections:\n                    <jats:italic toggle=\"yes\">Applications of NeRFs in Robotics<\/jats:italic>\n                    and\n                    <jats:italic toggle=\"yes\">Advances for NeRFs in Robotics<\/jats:italic>\n                    , from the perspective of how NeRF enters the field of robotics. In the first section, we introduce and analyze some works that have been or could be used in robotics for perception and interaction tasks. In the second section, we show some works related to improving NeRF\u2019s own properties, which are essential for deploying NeRFs in robotics. In the discussion section of the review, we summarize the existing challenges and provide valuable future research directions.\n                  <\/jats:p>","DOI":"10.1177\/02783649251374246","type":"journal-article","created":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T18:43:50Z","timestamp":1759171430000},"page":"858-892","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["NeRFs in robotics: A survey"],"prefix":"10.1177","volume":"45","author":[{"given":"Guangming","family":"Wang","sequence":"first","affiliation":[{"name":"University of Cambridge"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Pan","sequence":"additional","affiliation":[{"name":"China University of Mining and Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Songyou","family":"Peng","sequence":"additional","affiliation":[{"name":"ETH Zurich"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaohui","family":"Liu","sequence":"additional","affiliation":[{"name":"ETH Zurich"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenfeng","family":"Xu","sequence":"additional","affiliation":[{"name":"University of California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanzi","family":"Miao","sequence":"additional","affiliation":[{"name":"China University of Mining and Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Zhan","sequence":"additional","affiliation":[{"name":"University of California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masayoshi","family":"Tomizuka","sequence":"additional","affiliation":[{"name":"University of California"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc","family":"Pollefeys","sequence":"additional","affiliation":[{"name":"ETH Zurich"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9959-1634","authenticated-orcid":false,"given":"Hesheng","family":"Wang","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,9,29]]},"reference":[{"key":"e_1_3_3_2_1","first-page":"4606","volume-title":"Vision-Only Robot Navigation in a Neural Radiance World","author":"Adamkiewicz M","year":"2022","unstructured":"Adamkiewicz M, Chen T, Caccavale A, et al. 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