{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T18:02:05Z","timestamp":1764784925594,"version":"3.28.0"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T00:00:00Z","timestamp":1657497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T00:00:00Z","timestamp":1657497600000},"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":[],"published-print":{"date-parts":[[2022,7,11]]},"DOI":"10.1109\/aim52237.2022.9863336","type":"proceedings-article","created":{"date-parts":[[2022,8,25]],"date-time":"2022-08-25T19:39:30Z","timestamp":1661456370000},"page":"638-643","source":"Crossref","is-referenced-by-count":3,"title":["Learning Robot Inverse Dynamics Using Sparse Online Gaussian Process with Forgetting Mechanism"],"prefix":"10.1109","author":[{"given":"Wei","family":"Li","sequence":"first","affiliation":[{"name":"Sun Yat-sen University,School of Software Engineering,Guangzhou,China,510006"}]},{"given":"Zhiwen","family":"Li","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China,510006"}]},{"given":"Yiqi","family":"Liu","sequence":"additional","affiliation":[{"name":"South China University of Technology,School of Automation Science and Engineering,Guangzhou,China,510640"}]},{"given":"Yongping","family":"Pan","sequence":"additional","affiliation":[{"name":"Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China,510006"}]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2019.108612"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2017.08.005"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2527501"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487143"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2957109"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2016.7798838"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2008.4650850"},{"key":"ref14","first-page":"1202","article-title":"Learning-based robot control with localized sparse online Gaussian process","author":"park","year":"2013","journal-title":"Proc IEEE\/RSJ Int Conf Intell Robot Syst"},{"key":"ref15","first-page":"6055","article-title":"Gaussian process-based real-time learning for safety critical applications","author":"lederer","year":"2021","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2012.08.011"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1162\/089976602317250933"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6385817"},{"key":"ref19","first-page":"3299","article-title":"Streaming sparse Gaussian process approximations","author":"bui","year":"2017","journal-title":"Proc Int Conf Neural Inf Process"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2008.2011621"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/HUMANOIDS.2014.7041362"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.105.268104"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907694"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794097"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2015.12.009"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2019.01.023"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10846-019-01128-5"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968107"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2010.5509858"},{"key":"ref9","first-page":"1939","article-title":"A unifying view of sparse approximate Gaussian process regression","volume":"6","author":"quinonero-candela","year":"2005","journal-title":"J Mach Learn Res"},{"journal-title":"Gaussian Processes for Machine Learning","year":"2006","author":"rasmussen","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2016.7798708"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2022.04.174"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2019.2891222"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2974432"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICARM52023.2021.9536108"},{"journal-title":"Robot Dynamics and Control","year":"2008","author":"spong","key":"ref26"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2200500"}],"event":{"name":"2022 IEEE\/ASME International Conference on Advanced Intelligent Mechatronics (AIM)","start":{"date-parts":[[2022,7,11]]},"location":"Sapporo, Japan","end":{"date-parts":[[2022,7,15]]}},"container-title":["2022 IEEE\/ASME International Conference on Advanced Intelligent Mechatronics (AIM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9863218\/9863240\/09863336.pdf?arnumber=9863336","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,3]],"date-time":"2022-10-03T20:36:55Z","timestamp":1664829415000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9863336\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,11]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/aim52237.2022.9863336","relation":{},"subject":[],"published":{"date-parts":[[2022,7,11]]}}}