{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T15:39:12Z","timestamp":1772465952933,"version":"3.50.1"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["62225302"],"award-info":[{"award-number":["62225302"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["624B2021"],"award-info":[{"award-number":["624B2021"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["62173023"],"award-info":[{"award-number":["62173023"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Automat. Sci. Eng."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tase.2025.3579689","type":"journal-article","created":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T13:44:05Z","timestamp":1750167845000},"page":"3525-3535","source":"Crossref","is-referenced-by-count":2,"title":["Digital Genealogy: AIGC-Driven Evolution of Digital Twin for Future Smart Manufacturing"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6346-6930","authenticated-orcid":false,"given":"Lei","family":"Ren","sequence":"first","affiliation":[{"name":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3027-8567","authenticated-orcid":false,"given":"Jiabao","family":"Dong","sequence":"additional","affiliation":[{"name":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"}]},{"given":"Xianchao","family":"Zeng","sequence":"additional","affiliation":[{"name":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"}]},{"given":"Lingyuan","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5852-5418","authenticated-orcid":false,"given":"Yuqing","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2024.e35162"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2021.03.005"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121136"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2022.3190901"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2023.3328964"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2023.3305522"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.00994"},{"key":"ref8","first-page":"4603","article-title":"Genie: Generative interactive environments","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","author":"Bruce"},{"key":"ref9","article-title":"Embodied agent interface: Benchmarking LLMs for embodied decision making","author":"Li","year":"2024","journal-title":"arXiv:2410.07166"},{"key":"ref10","article-title":"ReKep: Spatio-temporal reasoning of relational keypoint constraints for robotic manipulation","author":"Huang","year":"2024","journal-title":"arXiv:2409.01652"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2025.3527632"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tmech.2024.3456250"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cirpj.2020.02.002"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2023.3299049"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2020.06.017"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-21343-4_4"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.cogr.2023.04.003"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2024.3372591"},{"key":"ref19","article-title":"TripoSR: Fast 3D object reconstruction from a single image","author":"Tochilkin","year":"2024","journal-title":"arXiv:2403.02151"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00286"},{"key":"ref21","first-page":"31841","article-title":"One-2-3-45: Any single image to 3D mesh in 45 seconds without per-shape optimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Liu"},{"key":"ref22","article-title":"Shap-E: Generating conditional 3D implicit functions","author":"Jun","year":"2023","journal-title":"arXiv:2305.02463"},{"key":"ref23","article-title":"InstantMesh: Efficient 3D mesh generation from a single image with sparse-view large reconstruction models","author":"Xu","year":"2024","journal-title":"ArXiv:2404.07191"},{"key":"ref24","article-title":"LRM: Large reconstruction model for single image to 3D","author":"Hong","year":"2023","journal-title":"arXiv:2311.04400"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73235-5_1"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01613"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2024.3462500"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01855"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73235-5_7"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72751-1_4"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2023.3320708"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2023.123375"},{"key":"ref33","article-title":"Automated creation of digital cousins for robust policy learning","author":"Dai","year":"2024","journal-title":"arXiv:2410.07408"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2023.3238524"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/rs16020327"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3658129"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19842-7_22"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2023.104432"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00742"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00682"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610677"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/machines11070677"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"}],"container-title":["IEEE Transactions on Automation Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8856\/11323516\/11036763.pdf?arnumber=11036763","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T06:17:21Z","timestamp":1770877041000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11036763\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/tase.2025.3579689","relation":{},"ISSN":["1545-5955","1558-3783"],"issn-type":[{"value":"1545-5955","type":"print"},{"value":"1558-3783","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}