{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T22:16:27Z","timestamp":1775859387263,"version":"3.50.1"},"reference-count":37,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62376006"],"award-info":[{"award-number":["62376006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Youth Talent Support Program","award":["8200800081"],"award-info":[{"award-number":["8200800081"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1109\/lra.2024.3396101","type":"journal-article","created":{"date-parts":[[2024,5,2]],"date-time":"2024-05-02T17:31:30Z","timestamp":1714671090000},"page":"6012-6019","source":"Crossref","is-referenced-by-count":25,"title":["RGBGrasp: Image-Based Object Grasping by Capturing Multiple Views During Robot arm Movement With Neural Radiance Fields"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-4568-3382","authenticated-orcid":false,"given":"Chang","family":"Liu","sequence":"first","affiliation":[{"name":"National Key Laboratory for Multimedia Information Processing, Center on Frontiers of Computing Studies, School of Computer Science, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9633-1792","authenticated-orcid":false,"given":"Kejian","family":"Shi","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, Hong Kong"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-7890-8736","authenticated-orcid":false,"given":"Kaichen","family":"Zhou","sequence":"additional","affiliation":[{"name":"Oxford University, Oxford, U.K."}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4252-4353","authenticated-orcid":false,"given":"Haoxiao","family":"Wang","sequence":"additional","affiliation":[{"name":"Tianjin University of Technology, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-6150-2788","authenticated-orcid":false,"given":"Jiyao","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Key Laboratory for Multimedia Information Processing, Center on Frontiers of Computing Studies, School of Computer Science, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7984-9909","authenticated-orcid":false,"given":"Hao","family":"Dong","sequence":"additional","affiliation":[{"name":"National Key Laboratory for Multimedia Information Processing, Center on Frontiers of Computing Studies, School of Computer Science, Peking University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917735594"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794435"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/s22041357"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907430"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160779"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19842-7_8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160842"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_24"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00832"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01146"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2023.3281153"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01566"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2022.3203102"},{"key":"ref14","article-title":"Deep billboards towards lossless Real2Sim in virtual reality","author":"Kondo","year":"2022"},{"key":"ref15","article-title":"Neural fields for robotic object manipulation from a single image","author":"Blukis","year":"2022"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160322"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812146"},{"key":"ref18","first-page":"20154","article-title":"GRAF: Generative radiance fields for 3D-aware image synthesis","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Schwarz","year":"2020"},{"key":"ref19","article-title":"StyleNeRF: A style-based 3D-aware generator for high-resolution image synthesis","author":"Gu","year":"2021"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00617"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3150497"},{"key":"ref22","first-page":"112","article-title":"3D neural scene representations for visuomotor control","volume-title":"Proc. Conf. Robot Learn.","author":"Li","year":"2022"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812291"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02253"},{"key":"ref25","first-page":"1755","article-title":"Learning multi-object dynamics with compositional neural radiance fields","volume-title":"Proc. 6th Conf. Robot Learn.","author":"Driess","year":"2023"},{"key":"ref26","article-title":"PixTrack: Precise 6DoF object pose tracking using NeRF templates and feature-metric alignment","author":"Chidananda","year":"2022"},{"key":"ref27","article-title":"Dex-NeRF: Using a neural radiance field to grasp transparent objects","author":"Ichnowski","year":"2021"},{"key":"ref28","article-title":"Evo-NeRF: Evolving NeRF for sequential robot grasping of transparent objects","volume-title":"Proc. 6th Annu. Conf. Robot Learn.","author":"Kerr","year":"2022"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530127"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00539"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3588432.3591516"},{"key":"ref32","article-title":"NeRFBridge: Bringing real-time, online neural radiance field training to robotics","author":"Yu","year":"2023"},{"key":"ref33","article-title":"Pybullet, a Python module for physics simulation for games, robotics and machine learning","author":"Coumans"},{"key":"ref34","article-title":"Blender"},{"key":"ref35","first-page":"1602","article-title":"Volumetric grasping network: Real-time 6 DoF grasp detection in clutter","volume-title":"Proc. Conf. Robot Learn.","author":"Breyer","year":"2021"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19842-7_22"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1166"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/10504377\/10517376.pdf?arnumber=10517376","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,23]],"date-time":"2024-12-23T19:31:00Z","timestamp":1734982260000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10517376\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":37,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/lra.2024.3396101","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6]]}}}