{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T06:34:48Z","timestamp":1766471688146,"version":"3.48.0"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"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":["52575029"],"award-info":[{"award-number":["52575029"]}],"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":[[2026,2]]},"DOI":"10.1109\/lra.2025.3643303","type":"journal-article","created":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T18:47:32Z","timestamp":1765478852000},"page":"1666-1673","source":"Crossref","is-referenced-by-count":0,"title":["PPL: Point Cloud Supervised Proprioceptive Locomotion Reinforcement Learning for Legged Robots in Crawl Spaces"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-6902-9006","authenticated-orcid":false,"given":"Bida","family":"Ma","sequence":"first","affiliation":[{"name":"State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nuo","family":"Xu","sequence":"additional","affiliation":[{"name":"Ecole d’ingenieurs Paris, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7545-1338","authenticated-orcid":false,"given":"Chenkun","family":"Qi","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0928-7258","authenticated-orcid":false,"given":"Xin","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yule","family":"Mo","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4159-1270","authenticated-orcid":false,"given":"Jinkai","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunpeng","family":"Lu","sequence":"additional","affiliation":[{"name":"Lenovo Corporation, Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.aau5872"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3290509"},{"key":"ref3","first-page":"22","article-title":"Walk these ways: Tuning robot control for generalization with multiplicity of behavior","volume-title":"Proc. Conf. Robot Learn.","author":"Margolis"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2021.xvii.011"},{"key":"ref5","first-page":"73","article-title":"Robot parkour learning","volume-title":"Proc. Conf. Robot Learn.","author":"Zhuang"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.adi7566"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3184779"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981507"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.abc5986"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2024.3457379"},{"key":"ref11","first-page":"91","article-title":"Learning to walk in minutes using massively parallel deep reinforcement learning","volume-title":"Proc. Conf. Robot Learn.","author":"Rudin"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IROS58592.2024.10801507"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA55743.2025.11127928"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610271"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.16"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610200"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IROS58592.2024.10801925"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610668"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2025.3595814"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161144"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IROS60139.2025.11246585"},{"article-title":"Obstacle-aware quadrupedal locomotion with resilient multi-modal reinforcement learning","year":"2024","author":"Nahrendra","key":"ref22"},{"article-title":"Omni-perception omnidirectional collision avoidance for legged locomotion in dynamic environments","year":"2025","author":"Wang","key":"ref23"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3151396"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.12794\/metadc1505267"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2024.3429576"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.abk2822"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2024.3459797"},{"key":"ref29","article-title":"Learning to see physical properties with active sensing motor policies","volume-title":"Proc. 7th Conf. Robot Learn.","author":"Margolis","year":"2023"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3270034"},{"key":"ref31","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. 3rd Int. Conf. Learn. Representations","author":"Kingma","year":"2015"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7083369\/11293803\/11297764.pdf?arnumber=11297764","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T06:30:16Z","timestamp":1766471416000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11297764\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":31,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/lra.2025.3643303","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"type":"electronic","value":"2377-3766"},{"type":"electronic","value":"2377-3774"}],"subject":[],"published":{"date-parts":[[2026,2]]}}}