{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T13:53:17Z","timestamp":1769003597125,"version":"3.49.0"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62461160260"],"award-info":[{"award-number":["62461160260"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62573107"],"award-info":[{"award-number":["62573107"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Development Fund of Macau SAR","award":["0092\/2024\/AFJ"],"award-info":[{"award-number":["0092\/2024\/AFJ"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["N2403020"],"award-info":[{"award-number":["N2403020"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Robot."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tro.2025.3613568","type":"journal-article","created":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T17:27:28Z","timestamp":1758648448000},"page":"5816-5834","source":"Crossref","is-referenced-by-count":0,"title":["Learning-Based Motion Planning Leveraging Multivariate Deep Evidential Regression"],"prefix":"10.1109","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-6716-8534","authenticated-orcid":false,"given":"Rixin","family":"Wang","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0780-7037","authenticated-orcid":false,"given":"Shuopeng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0280-5836","authenticated-orcid":false,"given":"Jintao","family":"Ye","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7560-9764","authenticated-orcid":false,"given":"Ying","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8791-2253","authenticated-orcid":false,"given":"Lina","family":"Hao","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Principles of Robot Motion: Theory, Algorithms, and Implementations","author":"Choset","year":"2005"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2014.6942976"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2000.844730"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2022.3168542"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2024.3377895"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3396733"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610881"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2020.3006716"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/6320186"},{"key":"ref10","first-page":"417","article-title":"Imitation learning based on data augmentation for robotic reaching","volume-title":"Proc. 60th Annu. Conf. Soc. Instrum. Control Eng. Jpn.","author":"Hoshino","year":"2021"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/HUMANOIDS.2018.8625068"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968089"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-022-00556-7"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.adc8892"},{"key":"ref15","first-page":"12425","article-title":"Causal navigation by continuous-time neural networks","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Vorbach","year":"2021"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593772"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793889"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/icra57147.2024.10611099"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3322087"},{"key":"ref20","first-page":"6572","article-title":"Neural ordinary differential equations","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Chen","year":"2018"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i9.16936"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-00237-3"},{"key":"ref23","article-title":"Leveraginglow-rank and sparse recurrent connectivity for robust closed-loop control","author":"Tumma","year":"2023"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10562-9"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.5555\/3045390.3045502"},{"key":"ref26","first-page":"234","article-title":"Uncertainty in neural networks:Approximately bayesian ensembling","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Pearce","year":"2020"},{"key":"ref27","first-page":"6405","article-title":"Simple and scalable predictive uncertainty estimation using deep ensembles","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Lakshminarayanan","year":"2017"},{"key":"ref28","article-title":"Deep ensembles: A loss landscape perspective","author":"Fort","year":"2019"},{"key":"ref29","article-title":"Evidential deep learning to quantify classification uncertainty","volume":"31","author":"Sensoy","year":"2018","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref30","first-page":"14927","article-title":"Deep evidential regression","volume-title":"Proc. Int. Conf. Neural Inf. Process. Sys.","author":"Amini","year":"2020"},{"key":"ref31","article-title":"Multivariate deep evidential regression","author":"Meinert","year":"2021"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i7.20759"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i8.26096"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i15.29583"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i19.30172"},{"key":"ref36","first-page":"652","article-title":"PointNet: Deep learning on point sets for 3D classification and segmentation","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Qi","year":"2017"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2018.00030"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3179109"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i3.16303"},{"issue":"2","key":"ref40","first-page":"16","article-title":"Conjugate Bayesian analysis of the Gaussian distribution","volume":"1","author":"Murphy","year":"2007","journal-title":"Def"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2012.2205651"},{"key":"ref42","first-page":"5824","article-title":"Gradient surgery for multi-task learning","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Yu","year":"2020"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2020.2976560"}],"container-title":["IEEE Transactions on Robotics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8860\/10778592\/11176858.pdf?arnumber=11176858","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T23:26:49Z","timestamp":1768951609000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11176858\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/tro.2025.3613568","relation":{},"ISSN":["1552-3098","1941-0468"],"issn-type":[{"value":"1552-3098","type":"print"},{"value":"1941-0468","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}