乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T22:13:05Z","timestamp":1740175985639,"version":"3.37.3"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"NSF","award":["NRI-1925044"]},{"DOI":"10.13039\/100000010","name":"Ford Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000010","id-type":"DOI","asserted-by":"publisher"}]},{"name":"OPPO"},{"name":"SUNY RF"},{"name":"Autonomous Intelligent Robotics"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2022,4]]},"DOI":"10.1109\/lra.2022.3157566","type":"journal-article","created":{"date-parts":[[2022,3,8]],"date-time":"2022-03-08T21:28:20Z","timestamp":1646774900000},"page":"5536-5543","source":"Crossref","is-referenced-by-count":5,"title":["Learning to Ground Objects for Robot Task and Motion Planning"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7949-4351","authenticated-orcid":false,"given":"Yan","family":"Ding","sequence":"first","affiliation":[]},{"given":"Xiaohan","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xingyue","family":"Zhan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4110-8213","authenticated-orcid":false,"given":"Shiqi","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/b978-1-55860-856-6.x5000-5"},{"volume-title":"Principles of Robot Motion: Theory, Algorithms, and Implementation","year":"2005","author":"Choset","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913484072"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1177\/0278364918802962"},{"key":"ref5","first-page":"1930","article-title":"Logic-geometric programming: An optimization-based approach to combined task and motion planning","volume-title":"Proc. 24th Int. Joint Conf. Artif. Intell.","author":"Toussaint","year":"2015"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/0278364918761570"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487165"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.12181"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-control-091420-084139"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2856701"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1177\/0278364908097884"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/icaps.v19i1.13380"},{"key":"ref13","first-page":"33","article-title":"Hierarchical planning in the now","volume-title":"Proc. Workshops 24th AAAI Conf. Artif. Intell.","author":"Kaelbling","year":"2010"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917739114"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/icaps.v26i1.13792"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6906922"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812055"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1613\/jair.5575"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2020.xvi.102"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-59496-5_337"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2018.xiv.010"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460528"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967695"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2017.xiii.048"},{"key":"ref25","first-page":"2817","article-title":"Robust adversarial reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Pinto","year":"2017"},{"key":"ref26","first-page":"39","article-title":"Humanoid robots learning to walk faster: From the real world to simulation and back","volume-title":"Proc. Int. Conf. Auton. Agents Multi-Agent Syst.","author":"Farchy","year":"2013"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793789"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/451"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197326"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341522"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1177\/02783649211004615"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1631\/FITEE.1800514"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2020.xvi.085"},{"issue":"10","key":"ref34","first-page":"213","article-title":"R-max-a general polynomial time algorithm for near-optimal reinforcement learning","volume":"3","author":"Brafman","year":"2002","journal-title":"J. Mach. Learn. Res."},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1049\/ip-f-2.1993.0015"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(02)00186-8"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968269"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1177\/0278364911406761"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-25943-3_11"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2004.1389727"},{"article-title":"Pybullet, A python module for physics simulation for games, robotics and machine learning","year":"2016","author":"Coumans","key":"ref41"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/9647862\/09730046.pdf?arnumber=9730046","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T23:47:27Z","timestamp":1705535247000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9730046\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4]]},"references-count":41,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/lra.2022.3157566","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"type":"electronic","value":"2377-3766"},{"type":"electronic","value":"2377-3774"}],"subject":[],"published":{"date-parts":[[2022,4]]}}}