Pierre-Yves Lajoie, Karthik Soma, Haechan Bong, Alice Lemieux-Bourque, Rongge Zhang, Vivek Shankar Varadharajan et Giovanni Beltrame
Ensemble de données (2024)
Un lien externe est disponible pour ce documentAbstract
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.
Mots clés
| 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 |
|---|---|
Statistiques
Dimensions
