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Collaborative Simultaneous Localization and Mapping Dataset on Mars Analogue Terrain with Inter-Robot Communication Estimation

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

Ensemble de données (2024)

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Abstract

Decentralized Collaborative Simultaneous Localization and Mapping (C-SLAM) is essential to enable multi-robot missions in unknown environments without relying on pre-existing localization and communication infrastructure. This technology is anticipated to play a key role in the exploration of the Moon, Mars, and other planets. In this work, we introduce a novel dataset collected during C-SLAM experiments involving three robots operating on a Mars analogue terrain. The dataset includes real-time peer-to-peer inter-robot throughput and latency measurements, providing a valuable resource to support future research on communication-constrained, decentralized multi-robot operations.

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Département: Département de génie informatique et génie logiciel
URL de PolyPublie: https://publications.polymtl.ca/62649/
Source: IEEE DataPort
Maison d'édition: IEEE
DOI: 10.21227/z1zp-e621
URL officielle: https://doi.org/10.21227/z1zp-e621
Date du dépôt: 10 févr. 2025 17:34
Dernière modification: 28 mars 2025 16:43
Citer en APA 7: Lajoie, P.-Y., Soma, K., Bong, H., Lemieux-Bourque, A., Zhang, R., Varadharajan, V. S., & Beltrame, G. (2024). Collaborative Simultaneous Localization and Mapping Dataset on Mars Analogue Terrain with Inter-Robot Communication Estimation [Ensemble de données]. IEEE DataPort. https://doi.org/10.21227/z1zp-e621

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