Multi-Robot Decentralized Collaborative SLAM in Planetary Analogue Environments: Dataset, Challenges, and Lessons Learned

Pierre-Yves Lajoie, Karthik Soma, Haechan Bong, Alice Lemieux-Bourque, Rongge Zhang, Vivek Shankar Varadharajan and Giovanni Beltrame

Article (2025)

An external link is available for this item

Department:	Department of Computer Engineering and Software Engineering
Funders:	Canadian Space Agency, Vanier Canada Graduate Scholarships Award, Fonds de recherche du Québec—Nature et technologies
PolyPublie URL:	https://publications.polymtl.ca/66546/
Journal Title:	IEEE transactions on field robotics. (vol. 2)
Publisher:	IEEE
DOI:	10.1109/tfr.2025.3586209
Official URL:	https://doi.org/10.1109/tfr.2025.3586209
Date Deposited:	21 Jul 2025 15:21
Last Modified:	21 Jul 2025 15:21

Cite in APA 7:	Lajoie, P.-Y., Soma, K., Bong, H., Lemieux-Bourque, A., Zhang, R., Varadharajan, V. S., & Beltrame, G. (2025). Multi-Robot Decentralized Collaborative SLAM in Planetary Analogue Environments: Dataset, Challenges, and Lessons Learned. IEEE transactions on field robotics., 2, 516-528. https://doi.org/10.1109/tfr.2025.3586209
APA 7 (HTML)ASCII CitationAtomBibTeXDOIsDublin CoreEndNote (.ENW)MARC (ISO 2709/UTF-8) (.MRC)MARC (UTF-8) (.MRK8)MARC XMLMPEG-21 DIDLMultiline CSVOAI-ORE Resource Map (Atom Format)OPENAIREOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLReferReference Manager (.RIS)Simple Metadata

Statistics

Repository Staff Only