{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T15:10:55Z","timestamp":1783955455208,"version":"3.55.0"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,1]],"date-time":"2023-07-01T00:00:00Z","timestamp":1688169600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2019YFB1312400"],"award-info":[{"award-number":["2019YFB1312400"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Hong Kong Research Grants Council (RGC) General Research Fund","award":["14200618"],"award-info":[{"award-number":["14200618"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62103181"],"award-info":[{"award-number":["62103181"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Automat. Sci. Eng."],"published-print":{"date-parts":[[2023,7]]},"DOI":"10.1109\/tase.2022.3191519","type":"journal-article","created":{"date-parts":[[2022,7,20]],"date-time":"2022-07-20T19:36:37Z","timestamp":1658345797000},"page":"1997-2010","source":"Crossref","is-referenced-by-count":16,"title":["Enhance Connectivity of Promising Regions for Sampling-Based Path Planning"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1960-5432","authenticated-orcid":false,"given":"Han","family":"Ma","sequence":"first","affiliation":[{"name":"Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6322-0834","authenticated-orcid":false,"given":"Chenming","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1469-0623","authenticated-orcid":false,"given":"Jianbang","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, SAR, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9139-0291","authenticated-orcid":false,"given":"Jiankun","family":"Wang","sequence":"additional","affiliation":[{"name":"Shenzhen Key Laboratory of Robotics Perception and Intelligence and the Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5255-5898","authenticated-orcid":false,"given":"Max Q. -H.","family":"Meng","sequence":"additional","affiliation":[{"name":"Shenzhen Key Laboratory of Robotics Perception and Intelligence and the Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2021.1004275"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2021.3063273"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2010.5509683"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139620"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1177\/0278364915577958"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2835450"},{"key":"ref30","article-title":"Maximin affinity learning of image segmentation","author":"turaga","year":"2009","journal-title":"arXiv 0911 5372"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2020.2976560"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206458"},{"key":"ref10","article-title":"A learning-based stable servo control strategy using broad learning system applied for microrobotic control","author":"xu","year":"2021","journal-title":"IEEE Trans Cybern"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-017-0768-7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSSC.1968.300136"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01386390"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2003.12.001"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197338"},{"key":"ref19","article-title":"Guided incremental local densification for accelerated sampling-based motion planning","author":"mandalika","year":"2021","journal-title":"arXiv 2104 05037"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2000.844730"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968503"},{"key":"ref23","article-title":"Tutorial on variational autoencoders","author":"doersch","year":"2016","journal-title":"arXiv 1606 05908"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593772"},{"key":"ref25","article-title":"Robotic motion planning using learned critical sources and local sampling","author":"jenamani","year":"2020","journal-title":"arXiv 2006 04194"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8594028"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460730"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197106"},{"key":"ref28","article-title":"Graph neural networks for motion planning","author":"khan","year":"2020","journal-title":"arXiv 2006 06248"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2020.3006716"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2886997"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2010.VI.034"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/70.508439"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2014.6942976"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2004.64"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4613-8997-2_29"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/02783640122067453"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2005.1545548"}],"container-title":["IEEE Transactions on Automation Science and Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8856\/10169861\/09834265.pdf?arnumber=9834265","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T18:03:01Z","timestamp":1689616981000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9834265\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7]]},"references-count":34,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tase.2022.3191519","relation":{},"ISSN":["1545-5955","1558-3783"],"issn-type":[{"value":"1545-5955","type":"print"},{"value":"1558-3783","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7]]}}}