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dc.contributor.authorEbadi, Kamak
dc.contributor.authorBernreiter, Lukas
dc.contributor.authorBiggie, Harel
dc.contributor.authorCatt, Gavin
dc.contributor.authorChang, Yun
dc.contributor.authorChatterjee, Arghya
dc.contributor.authorDenniston, Christopher
dc.contributor.authorDeschênes, Simon-Pierre
dc.contributor.authorHarlow, Kyle
dc.contributor.authorKhattak, Shehryar
dc.contributor.authorNogueira, Lucas
dc.contributor.authorPalieri, Matteo
dc.contributor.authorPetráček, Pavel
dc.contributor.authorPetrlík, Matěj
dc.contributor.authorReinke, Andrzej
dc.contributor.authorKrátký, Vít
dc.contributor.authorZhao, Shibo
dc.contributor.authorAgha-mohammadi, Ali-akbar
dc.contributor.authorAlexis, Konstantinos
dc.contributor.authorHeckman, Christoffer
dc.contributor.authorKhosoussi, Kasra
dc.contributor.authorKottege, Navinda
dc.contributor.authorMorrell, Benjamin
dc.contributor.authorHutter, Marco
dc.contributor.authorPauling, Fred
dc.contributor.authorPomerleau, François
dc.contributor.authorSaska, Martin
dc.contributor.authorScherer, Sebastian
dc.contributor.authorSiegwart, Roland
dc.contributor.authorWilliams, Jason
dc.contributor.authorCarlone, Luca
dc.date.accessioned2023-11-23T08:35:23Z
dc.date.available2023-11-23T08:35:23Z
dc.date.created2023-11-22T16:59:50Z
dc.date.issued2023
dc.identifier.issn1552-3098
dc.identifier.urihttps://hdl.handle.net/11250/3104241
dc.description.abstractThis paper surveys recent progress and discusses future opportunities for Simultaneous Localization And Mapping (SLAM) in extreme underground environments. SLAM in subterranean environments, from tunnels, caves, and man-made underground structures on Earth, to lava tubes on Mars, is a key enabler for a range of applications, such as planetary exploration, search and rescue, disaster response, and automated mining, among others. SLAM in underground environments has recently received substantial attention, thanks to the DARPA Subterranean (SubT) Challenge , a global robotics competition aimed at assessing and pushing the state of the art in autonomous robotic exploration and mapping in complex underground environments. This paper reports on the state of the art in underground SLAM by discussing different SLAM strategies and results across six teams that participated in the three-year-long SubT competition. In particular, the paper has four main goals. First, we review the algorithms, architectures, and systems adopted by the teams; particular emphasis is put on LIDAR-centric SLAM solutions (the go-to approach for virtually all teams in the competition), heterogeneous multi-robot operation (including both aerial and ground robots), and real-world underground operation (from the presence of obscurants to the need to handle tight computational constraints). We do not shy away from discussing the “dirty details” behind the different SubT SLAM systems, which are often omitted from technical papers. Second, we discuss the maturity of the field by highlighting what is possible with the current SLAM systems and what we believe is within reach with some good systems engineering. Third, we outline what we believe are fundamental open problems, that are likely to require further research to break through. Finally, we provide a list of open-source SLAM implementations and datasets that have been produced during the SubT challenge and related efforts, and constitute a useful reso...en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titlePresent and Future of SLAM in Extreme Environments: The DARPA SubT Challengeen_US
dc.title.alternativePresent and Future of SLAM in Extreme Environments: The DARPA SubT Challengeen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© Copyright 2023 IEEE - All rights reserved.en_US
dc.source.journalIEEE Transactions on Roboticsen_US
dc.identifier.doi10.1109/TRO.2023.3323938
dc.identifier.cristin2200509
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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