{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:54:29Z","timestamp":1760151269589,"version":"build-2065373602"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"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":["U22A2061"],"award-info":[{"award-number":["U22A2061"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1109\/lra.2025.3615538","type":"journal-article","created":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T17:55:07Z","timestamp":1759168507000},"page":"11610-11617","source":"Crossref","is-referenced-by-count":0,"title":["TerraFusion: Semi-Supervised Vision-Proprioception Fusion for Robust Terrain Classification"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-7329-362X","authenticated-orcid":false,"given":"Hongze","family":"Li","sequence":"first","affiliation":[{"name":"State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3332-922X","authenticated-orcid":false,"given":"Rui","family":"Xie","sequence":"additional","affiliation":[{"name":"State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China"}]},{"given":"Haotian","family":"Zhou","sequence":"additional","affiliation":[{"name":"State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-5215-3470","authenticated-orcid":false,"given":"Jianghuan","family":"Xu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China"}]},{"given":"Jun","family":"Zhou","sequence":"additional","affiliation":[{"name":"State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4916-1539","authenticated-orcid":false,"given":"Wugen","family":"Zhou","sequence":"additional","affiliation":[{"name":"State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9245-3039","authenticated-orcid":false,"given":"Huijing","family":"Zhao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5860-4673","authenticated-orcid":false,"given":"Hongbin","family":"Zha","sequence":"additional","affiliation":[{"name":"State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.55417\/fr.2022049"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3101866"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9982078"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161251"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IROS58592.2024.10801407"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MIPR.2019.00057"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917727062"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3060437"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593786"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/technologies9010002"},{"key":"ref12","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Radford","year":"2021"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3201576"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1023\/B:AURO.0000047286.62481.1d"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2007.383024"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6386042"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2916480"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/rob.20113"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2020.3031214"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.jterra.2020.12.002"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-6155-5"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206092"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160856"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2023.XIX.054"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981942"},{"key":"ref26","first-page":"22243","article-title":"Big self-supervised models are strong semi-supervised learners","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Chen","year":"2020"},{"article-title":"Multimodal alignment and fusion: A survey","year":"2024","author":"Li","key":"ref27"},{"key":"ref28","first-page":"18661","article-title":"Supervised contrastive learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Khosla","year":"2020"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref30","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"article-title":"DINOv2: Learning robust visual features without supervision","year":"2023","author":"Oquab","key":"ref31"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01187"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7083369\/11169302\/11184124.pdf?arnumber=11184124","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:30:49Z","timestamp":1760135449000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11184124\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11]]},"references-count":32,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/lra.2025.3615538","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"type":"electronic","value":"2377-3766"},{"type":"electronic","value":"2377-3774"}],"subject":[],"published":{"date-parts":[[2025,11]]}}}