{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T00:15:22Z","timestamp":1769559322123,"version":"3.49.0"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,2,1]],"date-time":"2023-02-01T00:00:00Z","timestamp":1675209600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100008982","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1837515"],"award-info":[{"award-number":["1837515"]}],"id":[{"id":"10.13039\/501100008982","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Consortium of Northrop Grumman Corporation"},{"name":"Rolls-Royce Corporation"},{"name":"NASA University Leadership Initiative"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Robot."],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1109\/tro.2022.3190221","type":"journal-article","created":{"date-parts":[[2022,8,9]],"date-time":"2022-08-09T20:38:51Z","timestamp":1660077531000},"page":"625-644","source":"Crossref","is-referenced-by-count":18,"title":["Learning From Human Directional Corrections"],"prefix":"10.1109","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5330-855X","authenticated-orcid":false,"given":"Wanxin","family":"Jin","sequence":"first","affiliation":[{"name":"General Robotics, Automation, Sensing and Perception (GRASP) Laboratory, University of Pennsylvania, Philadelphia, PA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2262-8176","authenticated-orcid":false,"given":"Todd D.","family":"Murphey","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7312-7075","authenticated-orcid":false,"given":"Zehui","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Aeronautics and Astronautics, Purdue University, West Lafayette, IN, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3698-4238","authenticated-orcid":false,"given":"Shaoshuai","family":"Mou","sequence":"additional","affiliation":[{"name":"School of Aeronautics and Astronautics, Purdue University, West Lafayette, IN, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-control-100819-063206"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139555"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917745980"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2022.3191592"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1177\/0278364921996384"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/0278364915581193"},{"key":"ref7","first-page":"217","article-title":"Learning robot objectives from physical human interaction","volume-title":"Proc. Conf. Robot Learn.","volume":"78","author":"Bajcsy","year":"2017"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793554"},{"key":"ref9","first-page":"123","article-title":"Including uncertainty when learning from human corrections","volume-title":"Proc. Conf. Robot Learn.","author":"Losey","year":"2018"},{"key":"ref10","first-page":"575","article-title":"Learning trajectory preferences for manipulators via iterative improvement","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Jain","year":"2013"},{"key":"ref11","first-page":"59","article-title":"Online structured prediction via coactive learning","volume-title":"Proc. IEEE Int. Conf. Mach. Learn.","author":"Shivaswamy","year":"2012"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1973.1100365"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2012.6225317"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2019.2926388"},{"key":"ref15","first-page":"663","article-title":"Algorithms for inverse reinforcement learning","volume-title":"Proc. IEEE Int. Conf. Mach. Learn.","volume":"1","author":"Ng","year":"2000"},{"key":"ref16","first-page":"1433","article-title":"Maximum entropy inverse reinforcement learning","volume-title":"Proc. Conf. Assoc. Advance. Artif. Intell.","author":"Ziebart","year":"2008"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143936"},{"key":"ref18","first-page":"7979","article-title":"Pontryagin differentiable programming: An end-to-end learning and control framework","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Jin","year":"2020"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.23919\/ASCC56756.2022.9828009"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3277903"},{"key":"ref21","first-page":"796","article-title":"Learning under misspecified objective spaces","volume-title":"Proc. Conf. Robot Learn.","author":"Bobu","year":"2018"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139510"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3354139"},{"key":"ref24","article-title":"Underactuated robotics: Algorithms for walking, running, swimming, flying, and manipulation","volume-title":"From Course Notes for MIT 6.832","author":"Tedrake","year":"2022"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.5220\/0001143902220229"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s12532-018-0139-4"},{"key":"ref27","article-title":"Localization and cutting-plane methods","author":"Boyd","year":"2007"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"issue":"83","key":"ref29","first-page":"1","article-title":"CVXPY: A Python-embedded modeling language for convex optimization","volume":"17","author":"Diamond","year":"2016","journal-title":"J. Mach. Learn. Res."},{"issue":"1","key":"ref30","first-page":"226","article-title":"The method of inscribed ellipsoids","volume":"37","author":"Tarasov","year":"1988","journal-title":"Sov. Math.-Doklady"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1515\/9780691211701"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2010.5717652"},{"key":"ref33","first-page":"136","article-title":"OptNet: Differentiable optimization as a layer in neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Amos","year":"2017"},{"key":"ref34","first-page":"16034","article-title":"Safe Pontryagin differentiable programming","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Jin","year":"2021"},{"key":"ref35","first-page":"1137","article-title":"Learning linear complementarity systems","volume-title":"Proc. Learn. Dyn. Control Conf.","author":"Jin","year":"2022"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/321281.321291"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/BF01580439"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/BF01580602"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.2140\/pjm.1960.10.1257"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/BF01585551"},{"issue":"1","key":"ref41","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1007\/BF01585556","article-title":"Cutting plane algorithms from analytic centers: Efficiency estimates","volume":"69","author":"Nesterov","year":"1995","journal-title":"Math. Program."}],"container-title":["IEEE Transactions on Robotics"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/8860\/10040949\/9852712-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8860\/10040949\/09852712.pdf?arnumber=9852712","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T12:13:37Z","timestamp":1706789617000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9852712\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2]]},"references-count":41,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tro.2022.3190221","relation":{},"ISSN":["1552-3098","1941-0468"],"issn-type":[{"value":"1552-3098","type":"print"},{"value":"1941-0468","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2]]}}}