{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T10:47:11Z","timestamp":1783334831622,"version":"3.54.6"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1109\/lra.2023.3313937","type":"journal-article","created":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T18:37:30Z","timestamp":1695667050000},"page":"7154-7161","source":"Crossref","is-referenced-by-count":19,"title":["SLoMo: A General System for Legged Robot Motion Imitation From Casual Videos"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7442-5920","authenticated-orcid":false,"given":"John Z.","family":"Zhang","sequence":"first","affiliation":[{"name":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3291-9076","authenticated-orcid":false,"given":"Shuo","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8957-875X","authenticated-orcid":false,"given":"Gengshan","family":"Yang","sequence":"additional","affiliation":[{"name":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3816-7268","authenticated-orcid":false,"given":"Arun L.","family":"Bishop","sequence":"additional","affiliation":[{"name":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0091-076X","authenticated-orcid":false,"given":"Swaminathan","family":"Gurumurthy","sequence":"additional","affiliation":[{"name":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9180-8983","authenticated-orcid":false,"given":"Deva","family":"Ramanan","sequence":"additional","affiliation":[{"name":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3071-7091","authenticated-orcid":false,"given":"Zachary","family":"Manchester","sequence":"additional","affiliation":[{"name":"Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3503250"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14507"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_24"},{"key":"ref14","article-title":"Volumetric correspondence networks for optical flow","author":"yang","year":"0","journal-title":"Proc Annu Conf Neural Inf Process Syst"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00982"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01129"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2816795.2818013"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2955131"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00576"},{"key":"ref54","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01572"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00762"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-015-9479-3"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00288"},{"key":"ref51","article-title":"Physically plausible reconstruction from monocular videos","author":"yang","year":"0","journal-title":"Proc Int Conf Comput Vis"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2022.XVIII.023"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907261"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2002.1014737"},{"key":"ref48","first-page":"21","article-title":"Human motion control of quadrupedal robots using deep reinforcement learning","author":"kim","year":"0","journal-title":"Proc Robot Sci Syst XVIII Robot Sci Syst Found"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1177\/0278364907079430"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3197517.3201311"},{"key":"ref41","article-title":"No time to dance boston dynamics","year":"0"},{"key":"ref44","article-title":"Imitation and adaptation based on consistency: A quadruped robot imitates animals from videos using deep reinforcement learning","volume":"12","author":"yao","year":"2022","journal-title":"Robotics"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/robotics12030090"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2022.XVIII.026"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-18441-5"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3138762"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00530"},{"key":"ref4","first-page":"64","article-title":"Learning agile robotic locomotion skills by imitating animals","author":"peng","year":"0","journal-title":"Proc Robot Sci Syst XVI Robot Sci Syst Found"},{"key":"ref3","article-title":"Carnegie-Mellon mocap database","year":"0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2782743"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9635838"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3185374"},{"key":"ref35","article-title":"Fast contact-implicit model-predictive control","author":"cleac'h","year":"2021"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139912"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2023.XIX.056"},{"key":"ref36","first-page":"138","article-title":"Deep whole-body control: Learning a unified policy for manipulation and locomotion","author":"fu","year":"0","journal-title":"Proc Conf Robot Learn"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3056064"},{"key":"ref30","article-title":"Ipopt: Documentation","year":"2005"},{"key":"ref33","article-title":"Warp: A high-performance python framework for GPU simulation and graphics","author":"macklin","year":"0","journal-title":"Proc NVIDIA GPU Technol Conf"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2021.785925"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3528223.3530086"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981945"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CDC51059.2022.9993259"},{"key":"ref38","article-title":"Highly dynamic quadruped locomotion via whole-body impulse control and model predictive control","author":"kim","year":"2019"},{"key":"ref24","article-title":"Dojo: A differentiable physics engine for robotics","author":"howell","year":"2022"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0207(19960815)39:15<2673::AID-NME972>3.0.CO;2-I"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919849235"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913506757"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593885"},{"key":"ref22","article-title":"More parkour atlas","year":"0"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793865"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196673"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2017.XIII.042"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25555-7_34"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/10254630\/10246373.pdf?arnumber=10246373","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,26]],"date-time":"2023-09-26T00:18:58Z","timestamp":1695687538000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10246373\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11]]},"references-count":55,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/lra.2023.3313937","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11]]}}}