{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T16:51:45Z","timestamp":1781369505749,"version":"3.54.1"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"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":[[2021,5,30]]},"DOI":"10.1109\/icra48506.2021.9560768","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:28:35Z","timestamp":1634689715000},"page":"6739-6745","source":"Crossref","is-referenced-by-count":15,"title":["LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping"],"prefix":"10.1109","author":[{"given":"Ozan","family":"Catal","sequence":"first","affiliation":[{"name":"Ghent University - Imec,IDlab"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wouter","family":"Jansen","sequence":"additional","affiliation":[{"name":"University of Antwerp - Flanders Make,CoSys-Lab"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tim","family":"Verbelen","sequence":"additional","affiliation":[{"name":"Ghent University - Imec,IDlab"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bart","family":"Dhoedt","sequence":"additional","affiliation":[{"name":"Ghent University - Imec,IDlab"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan","family":"Steckel","sequence":"additional","affiliation":[{"name":"University of Antwerp - Flanders Make,CoSys-Lab"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref32","doi-asserted-by":"crossref","first-page":"3952","DOI":"10.1109\/ICASSP40776.2020.9054364","article-title":"Learning perception and planning with deep active inference","author":"\u00e7atal","year":"2020","journal-title":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP)"},{"key":"ref31","doi-asserted-by":"crossref","DOI":"10.1109\/IROS45743.2020.9341386","article-title":"Anomaly detection for autonomous guided vehicles using bayesian surprise","author":"\u00e7atal","year":"2020","journal-title":"2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref10","article-title":"Towards brain-based sensor fusion for navigating robots","author":"jacobson","year":"2012"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2010.5509547"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1177\/0278364909340592"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11179-7_99"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3389\/fnbot.2020.568091"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989366"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00277"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1098\/rsif.2013.0475"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-28872-7_27"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.58.7738"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1002\/rob.21831"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2004.1307183"},{"key":"ref27","article-title":"Generalized elbo with constrained optimization, geco","author":"rezende","year":"2018","journal-title":"Proceedings of the Workshop Bayesian Deep Learning (NIPS2018)"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9196638"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAR.2019.8813378"},{"key":"ref29","first-page":"83","author":"jeannerod","year":"2003","journal-title":"Action Monitoring and Forward Control of Movements"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-012-9317-9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2012.6224813"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0054076"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"1147","DOI":"10.1109\/TRO.2015.2463671","article-title":"Orb-slam: A versatile and accurate monocular slam system","volume":"31","author":"mur-artal","year":"2015","journal-title":"IEEE Transactions on Robotics"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CBS46900.2019.9114526"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2016.2624754"},{"key":"ref20","first-page":"1","author":"choe","year":"2013","journal-title":"Hebbian Learning"},{"key":"ref22","doi-asserted-by":"crossref","DOI":"10.3389\/fncom.2020.574372","article-title":"Learning generative state space models for active inference","author":"\u00e7atal","year":"2020","journal-title":"Frontiers in Computational Neuroscience"},{"key":"ref21","article-title":"Auto-encoding variational bayes","author":"kingma","year":"0"},{"key":"ref24","first-page":"472","article-title":"Incorporating second-order functional knowledge for better option pricing","author":"dugas","year":"2000","journal-title":"Proceedings of the 13th International Conference on Neural Information Processing Systems NIPS&#x2019;00"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref26","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015"},{"key":"ref25","article-title":"Rectifier nonlinearities improve neural network acoustic models","author":"maas","year":"2013","journal-title":"Proceedings of the 30th International Conference on Machine Learning"}],"event":{"name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","location":"Xi'an, China","start":{"date-parts":[[2021,5,30]]},"end":{"date-parts":[[2021,6,5]]}},"container-title":["2021 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9560720\/9560666\/09560768.pdf?arnumber=9560768","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:22:52Z","timestamp":1659482572000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9560768\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,30]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/icra48506.2021.9560768","relation":{},"subject":[],"published":{"date-parts":[[2021,5,30]]}}}