{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T18:11:21Z","timestamp":1775326281729,"version":"3.50.1"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100015956","name":"Key Areas Research and Development Program of Guangdong Province","doi-asserted-by":"publisher","award":["2020B090925001"],"award-info":[{"award-number":["2020B090925001"]}],"id":[{"id":"10.13039\/501100015956","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015956","name":"Key Areas Research and Development Program of Guangdong Province","doi-asserted-by":"publisher","award":["2020B090928002"],"award-info":[{"award-number":["2020B090928002"]}],"id":[{"id":"10.13039\/501100015956","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Basic and Applied Basic Research Project of Guangzhou","award":["202002030237"],"award-info":[{"award-number":["202002030237"]}]},{"name":"GDAS\u2019 Project of Thousand Doctors (postdoctors) Introduction","award":["2020GDASYL-20200103128"],"award-info":[{"award-number":["2020GDASYL-20200103128"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62003102"],"award-info":[{"award-number":["62003102"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2020A1515010631"],"award-info":[{"award-number":["2020A1515010631"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cogn. Dev. Syst."],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1109\/tcds.2021.3137262","type":"journal-article","created":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T21:05:40Z","timestamp":1640120740000},"page":"1743-1754","source":"Crossref","is-referenced-by-count":9,"title":["A Framework of Improving Human Demonstration Efficiency for Goal-Directed Robot Skill Learning"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8517-5296","authenticated-orcid":false,"given":"Hongmin","family":"Wu","sequence":"first","affiliation":[{"name":"Guangdong Key Laboratory of Modern Control Technology, Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China"}]},{"given":"Wu","family":"Yan","sequence":"additional","affiliation":[{"name":"Guangdong Key Laboratory of Modern Control Technology, Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1344-9731","authenticated-orcid":false,"given":"Zhihao","family":"Xu","sequence":"additional","affiliation":[{"name":"Guangdong Key Laboratory of Modern Control Technology, Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1642-2059","authenticated-orcid":false,"given":"Xuefeng","family":"Zhou","sequence":"additional","affiliation":[{"name":"Guangdong Key Laboratory of Modern Control Technology, Institute of Intelligent Manufacturing, Guangdong Academy of Sciences, Guangzhou, China"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2974432"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/MCS.2018.2851010"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/HUMANOIDS.2016.7803300"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3060414"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593552"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919884623"},{"key":"ref37","article-title":"Scaling data-driven robotics with reward sketching and batch reinforcement learning","author":"cabi","year":"2019","journal-title":"arXiv 1909 12200"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.11345"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.218"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2017.XIII.021"},{"key":"ref10","first-page":"37","article-title":"Active incremental learning of robot movement primitives","author":"maeda","year":"2017","journal-title":"Proc 1st Conf Robot Learn"},{"key":"ref40","first-page":"109","article-title":"Towards robust skill generalization: Unifying learning from demonstration and motion planning","author":"rana","year":"2018","journal-title":"Proc Int Conf Intell Robots Syst"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-41610-1_27-1"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00393"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2018.2817589"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11370-015-0187-9"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2932610"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-017-9648-7"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2019.2937010"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919846363"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967996"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ROMAN.2007.4415177"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-32552-1_74"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2019.XV.071"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1126\/science.aaz7597"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s41315-019-00103-5"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8461194"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-control-100819-063206"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1049\/ccs2.12005"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2020.103515"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-32552-1_15"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2008.10.024"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/scientificamerican0107-58"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.12.034"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593450"},{"key":"ref45","first-page":"1","article-title":"Convergence of sparse variational inference in Gaussian processes regression","volume":"21","author":"burt","year":"2020","journal-title":"J Mach Learn Res"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1515\/pjbr-2015-0002"},{"key":"ref22","first-page":"247","article-title":"Learning from demonstration with model-based Gaussian process","author":"jaquier","year":"2020","journal-title":"Proc Conf Robot Learn"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197470"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1017\/S026357471900078X"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989759"},{"key":"ref24","first-page":"5863","article-title":"Deep encoder-decoder networks for mapping raw images to dynamic movement primitives","author":"pachi?","year":"2018","journal-title":"Proc IEEE Int Conf Robot Autom (ICRA)"},{"key":"ref41","first-page":"3511","article-title":"Scalable Gaussian process variational autoencoders","author":"jazbec","year":"2021","journal-title":"Proc Int Conf Artif Intell Stat"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3056367"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793540"},{"key":"ref26","first-page":"132","article-title":"Deep imitation learning for bimanual robotic manipulation","author":"xie","year":"2020","journal-title":"Neural Information Processing Systems (NeurIPS)"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2017.2657001"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/HUMANOIDS.2017.8246874"}],"container-title":["IEEE Transactions on Cognitive and Developmental Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7274989\/9976403\/09657074.pdf?arnumber=9657074","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T19:09:38Z","timestamp":1672081778000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9657074\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":48,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcds.2021.3137262","relation":{},"ISSN":["2379-8920","2379-8939"],"issn-type":[{"value":"2379-8920","type":"print"},{"value":"2379-8939","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12]]}}}