3 papers
cs.RO2026
FoMo: A Multi-Season Dataset for Robot Navigation in Forêt Montmorency
MatÄj Boxan, Gabriel Jeanson, Alexander Krawciw +5
The Forêt Montmorency (FoMo) dataset is a comprehensive multi-season data collection, recorded over the span of one year in a boreal forest. Featuring a unique combination of on-…
cs.RO2025
ASAP-MO:Advanced Situational Awareness and Perception for Mission-critical Operations
Veronica Vannini, William Dubois, Olivier Gamache +5
Deploying robotic missions can be challenging due to the complexity of controlling robots with multiple degrees of freedom, fusing diverse sensory inputs, and managing communicatio…
cs.RO2025
UAV-Assisted Self-Supervised Terrain Awareness for Off-Road Navigation
Jean-Michel Fortin, Olivier Gamache, William Fecteau +4
Terrain awareness is an essential milestone to enable truly autonomous off-road navigation. Accurately predicting terrain characteristics allows optimizing a vehicle's path against…