{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T15:11:15Z","timestamp":1785337875391,"version":"3.55.0"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":["IEEE Trans. Robot."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tro.2024.3366818","type":"journal-article","created":{"date-parts":[[2024,2,20]],"date-time":"2024-02-20T19:05:54Z","timestamp":1708455954000},"page":"1938-1951","source":"Crossref","is-referenced-by-count":12,"title":["Data-Driven Momentum Observers With Physically Consistent Gaussian Processes"],"prefix":"10.1109","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2224-6824","authenticated-orcid":false,"given":"Giulio","family":"Evangelisti","sequence":"first","affiliation":[{"name":"Chair of Information-oriented Control, TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7819-5926","authenticated-orcid":false,"given":"Sandra","family":"Hirche","sequence":"additional","affiliation":[{"name":"Chair of Information-oriented Control, TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.23919\/ACC.1984.4788393"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.mechmachtheory.2007.03.003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-41610-1_146-1"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2013.06.009"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.proeng.2012.07.273"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/nature14543"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1186\/1743-0003-6-20"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2010.2043757"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919897292"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30301-5_58"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2017.2723903"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2005.1570247"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2006.282053"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1063\/5.0048129"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CDC51059.2022.9992733"},{"key":"ref16","doi-asserted-by":"crossref","DOI":"10.15607\/RSS.2021.XVII.086","article-title":"Hamiltonian-based neural ODE networks on the SE(3) manifold for dynamics learning and control","volume-title":"Robot.: Sci. Syst.","author":"Duong","year":"2021"},{"key":"ref17","article-title":"Hamiltonian neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Greydanus","year":"2019"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2806566"},{"key":"ref19","first-page":"101","article-title":"Using physics knowledge for learning rigid-body forward dynamics with Gaussian process force priors","volume-title":"Proc. 5th Conf. Robot Learn.","author":"Rath","year":"2022"},{"key":"ref20","first-page":"225","article-title":"Learning constrained dynamics with Gauss principle adhering Gaussian processes","volume-title":"Proc. 2nd Conf. Learn. Dyn. Control","author":"Geist","year":"2020"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/gamm.202100009"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1002\/047134608x.w1046"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2017.2729659"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/app11094303"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2022.3231360"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.218"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/3206.001.0001"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2011.2182033"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2019.2958840"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2019.01.023"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CDC45484.2021.9682836"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICIF.2010.5711863"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2501842"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.cam.2022.114780"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.aav1488"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561667"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3010738"},{"key":"ref38","article-title":"Uniform error bounds for Gaussian process regression with application to safe control","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Lederer","year":"2019"},{"key":"ref39","first-page":"844","article-title":"On kernelized multi-armed bandits","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Chowdhury","year":"2017"},{"key":"ref40","first-page":"7439","article-title":"Practical and rigorous uncertainty bounds for Gaussian process regression","volume-title":"Proc. AAAI Conf. Artif. Intell.","author":"Fiedler","year":"2021"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CDC51059.2022.9993123"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7276-7"},{"key":"ref43","volume-title":"Classical Mechanics","author":"Goldstein","year":"2002"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.eml.2016.02.007"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1201\/9781315136370"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2017.01.060"},{"key":"ref47","article-title":"Derivative observations in Gaussian process models of dynamic systems","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"15","author":"Solak","year":"2002"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1561\/2200000036"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3390\/e22020152"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2007.2125"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.1909.0016"},{"key":"ref52","first-page":"67","article-title":"On the influence of the kernel on the consistency of support vector machines","volume":"2","author":"Steinwart","year":"2002","journal-title":"J. Mach. Learn. Res."},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781107298019"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-0653-8"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/BF00939420"},{"key":"ref56","volume-title":"Nonlinear Systems","author":"Khalil","year":"2002"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/S0005-1098(98)00019-3"},{"key":"ref58","article-title":"LBR iiwa 14 R820 specification","year":"2015"},{"key":"ref59","volume-title":"Robot Dynamics and Control","author":"Mark","year":"1991"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOSOFT.2018.8404895"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1080\/01691864.2014.913503"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206543"}],"container-title":["IEEE Transactions on Robotics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8860\/10365208\/10440462.pdf?arnumber=10440462","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T18:57:03Z","timestamp":1738868223000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10440462\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/tro.2024.3366818","relation":{},"ISSN":["1552-3098","1941-0468"],"issn-type":[{"value":"1552-3098","type":"print"},{"value":"1941-0468","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}