{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T05:45:57Z","timestamp":1758347157242,"version":"3.44.0"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T00:00:00Z","timestamp":1756771200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T00:00:00Z","timestamp":1756771200000},"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":[[2025,9,2]]},"DOI":"10.1109\/ecmr65884.2025.11163261","type":"proceedings-article","created":{"date-parts":[[2025,9,18]],"date-time":"2025-09-18T17:43:37Z","timestamp":1758217417000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Efficient Online Learning and Adaptive Planning for Robotic Information Gathering Based on Streaming Data"],"prefix":"10.1109","author":[{"given":"Sanjeev Ramkumar","family":"Sudha","sequence":"first","affiliation":[{"name":"Norwegian University of Science and Technology (NTNU),Department of ICT and Natural Sciences,&#x00C5;lesund,Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joel","family":"Jose","sequence":"additional","affiliation":[{"name":"Norwegian University of Science and Technology (NTNU),Department of ICT and Natural Sciences,&#x00C5;lesund,Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erlend M.","family":"Coates","sequence":"additional","affiliation":[{"name":"Norwegian University of Science and Technology (NTNU),Department of ICT and Natural Sciences,&#x00C5;lesund,Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"issue":"2","key":"ref1","article-title":"Near-optimal sensor placements in gaussian processes: Theory, efficient algorithms and empirical studies","volume":"9","author":"Krause","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2011.2181683"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IROS58592.2024.10801947"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3182807"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/rob.21722"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-95459-8_37"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-020-09903-2"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2969191"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2021.110242"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794345"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s43154-021-00045-6"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2024.104727"},{"key":"ref13","article-title":"Sparse gaussian processes using pseudo-inputs","volume":"18","author":"Snelson","year":"2005","journal-title":"Advances in neural information processing systems"},{"key":"ref14","first-page":"282","article-title":"Gaussian processes for big data","volume-title":"Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence","author":"Hensman"},{"key":"ref15","first-page":"567","article-title":"Variational learning of inducing variables in sparse gaussian processes","volume-title":"Artificial intelligence and statistics.","author":"Titsias","year":"2009"},{"key":"ref16","article-title":"Streaming sparse gaussian process approximations","volume":"30","author":"Bui","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1177\/0278364914533443"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919844575"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981992"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/s19051016"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2929997"},{"key":"ref22","first-page":"1462","article-title":"Receding horizon","volume-title":"next-best-view\" planner for 3d exploration,\" in 2016 IEEE international conference on robotics and automation (ICRA).","author":"Bircher"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907763"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.23919\/OCEANS40490.2019.8962826"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1177\/02783649231184498"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10610484"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989494"},{"issue":"3","key":"ref28","volume-title":"Gaussian processes for machine learning.","volume":"2","author":"Williams","year":"2006"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1177\/0278364911406761"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.23919\/OCEANS40490.2019.8962724"},{"key":"ref31","first-page":"63","article-title":"Line-of-sight guidance for path following of marine vehicles","volume":"5","author":"Lekkas","year":"2013","journal-title":"Advanced in marine robotics"}],"event":{"name":"2025 European Conference on Mobile Robots (ECMR)","start":{"date-parts":[[2025,9,2]]},"location":"Padova, Italy","end":{"date-parts":[[2025,9,5]]}},"container-title":["2025 European Conference on Mobile Robots (ECMR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11162725\/11162953\/11163261.pdf?arnumber=11163261","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T04:42:26Z","timestamp":1758256946000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11163261\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,2]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/ecmr65884.2025.11163261","relation":{},"subject":[],"published":{"date-parts":[[2025,9,2]]}}}