{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T17:40:03Z","timestamp":1779385203008,"version":"3.53.1"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100018693","name":"UKRI Guarantee Funding for Horizon Europe MSCA Postdoctoral Fellowships","doi-asserted-by":"publisher","award":["EP\/Z00117X\/1"],"award-info":[{"award-number":["EP\/Z00117X\/1"]}],"id":[{"id":"10.13039\/100018693","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cybern."],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1109\/tcyb.2025.3591855","type":"journal-article","created":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T18:21:49Z","timestamp":1755282109000},"page":"5532-5544","source":"Crossref","is-referenced-by-count":1,"title":["Energy Approximated Dynamic Subattractor for Adjusting Obstacle Avoidance Trajectories"],"prefix":"10.1109","volume":"55","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-8540-5490","authenticated-orcid":false,"given":"Yubo","family":"Dong","sequence":"first","affiliation":[{"name":"College of Automation Science and Engineering, South China University of Technology, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0799-6712","authenticated-orcid":false,"given":"Chao","family":"Zeng","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Liverpool, Liverpool, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0871-9779","authenticated-orcid":false,"given":"Zhehao","family":"Jin","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Nanyang Ave, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3264-1852","authenticated-orcid":false,"given":"Ning","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computing and Digital Technologies, Sheffield Hallam University, Sheffield, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5255-5559","authenticated-orcid":false,"given":"Chenguang","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Liverpool, Liverpool, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3020065"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00393"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2009.5152385"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2852711"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2932610"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2011.2159412"},{"key":"ref7","first-page":"927","article-title":"A physically-consistent Bayesian non-parametric mixture model for dynamical system learning","volume-title":"Proc. PMLR","author":"Figueroa"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TSSC.1968.300136"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.59277\/ROMJIST.2025.1.09"},{"key":"ref10","first-page":"303","volume-title":"Rapidly-exploring random trees: Progress and prospects","author":"LaValle","year":"2001"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/0005-1098(89)90002-2"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2017.2674701"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2975727"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1177\/027836498600500106"},{"issue":"3","key":"ref15","first-page":"378","article-title":"Fuzzy control solution for telesurgical applications","volume":"11","author":"Precup","year":"2012","journal-title":"Appl. Comput. Math."},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.59277\/ROMJIST.2024.1.02"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.121640"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICHR.2008.4755937"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2009.5152423"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICAR46387.2019.8981552"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10846-021-01344-y"},{"key":"ref22","first-page":"247","article-title":"Learning from demonstration with model-based Gaussian process","volume-title":"Proc. Conf. Robot Learn.","author":"Jaquier"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2022.104312"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2021.3057022"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/app14114943"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LCSYS.2023.3293765"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.11.076"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/tie.2025.3536628"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2025.3541409"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10611584"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2023.3265405"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2024.3403833"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.1997.620144"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2893676"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2022.3164789"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2024.3387098"},{"key":"ref37","first-page":"1","article-title":"Probabilistic movement primitives","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"26","author":"Paraschos"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2023.111120"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1177\/17298806231152997"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2025.107197"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3112572"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2023.3248125"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2023.XIX.026"},{"key":"ref44","article-title":"Simultaneous multi-robot motion planning with projected diffusion models","author":"Liang","year":"2025","journal-title":"arXiv:2502.03607"},{"key":"ref45","article-title":"RDT-1B: A diffusion foundation model for bimanual manipulation","author":"Liu","year":"2024","journal-title":"arXiv:2410.07864"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/687"},{"key":"ref47","article-title":"OpenVLA: An open-source vision-language-action model","author":"Kim","year":"2024","journal-title":"arXiv:2406.09246"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.15607\/rss.2025.xxi.010"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2014.03.001"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysconle.2016.06.018"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2013.6696505"},{"key":"ref52","first-page":"466","article-title":"The Lyapunov neural network: Adaptive stability certification for safe learning of dynamical systems","volume-title":"Proc. Conf. Robot Learn.","author":"Richards"},{"key":"ref53","first-page":"1","article-title":"Learning stable deep dynamics models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Kolter"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1201\/9781003143444"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2023.3303011"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2024.08.267"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.121769"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ACC.2010.5530648"},{"key":"ref59","author":"Khansari-Zadeh","year":"2021","journal-title":"LASA handwriting data set"}],"container-title":["IEEE Transactions on Cybernetics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221036\/11215962\/11126118.pdf?arnumber=11126118","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T04:46:14Z","timestamp":1761281174000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11126118\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11]]},"references-count":59,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tcyb.2025.3591855","relation":{},"ISSN":["2168-2267","2168-2275"],"issn-type":[{"value":"2168-2267","type":"print"},{"value":"2168-2275","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11]]}}}