1 citations · 2 across the 8 of their papers we have counts for
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DRT&R: Direct Radar Teach & Repeat
Alexander Krawciw, Daniil Lisus, Cedric Le Gentil +1
Radar-based navigation is appealing for its robustness to adverse conditions involving airborne particles, such as precipitation, dust, fog, and smoke, that can cause lidar-based s…
FoMo: A Multi-Season Dataset for Robot Navigation in Forêt Montmorency
Matěj 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- a…
Lunar Rover Cargo Transport: Mission Concept and Field Test
Alexander Krawciw, Nicolas Olmedo, Faizan Rehmatullah +3
In future operations on the lunar surface, automated vehicles will be required to transport cargo between known locations. Such vehicles must be able to navigate precisely in safe…
Sharing the Load: Autonomous Multi-Rover Cargo Transport
Alexander Krawciw, Luka Antonyshyn, Sven Lilge +5
A future lunar habitat, as part of the Artemis program, will require a significant amount of logistics infrastructure. Cargo that is transported to the Moon will need to be moved f…
Toward Teach and Repeat Across Seasonal Deep Snow Accumulation
Matěj Boxan, Alexander Krawciw, Timothy D. Barfoot +1
Teach and repeat is a rapid way to achieve autonomy in challenging terrain and off-road environments. A human operator pilots the vehicles to create a network of paths that are map…
UAV See, UGV Do: Aerial Imagery and Virtual Teach Enabling Zero-Shot Ground Vehicle Repeat
Desiree Fisker, Alexander Krawciw, Sven Lilge +2
This paper presents Virtual Teach and Repeat (VirT&R): an extension of the Teach and Repeat (T&R) framework that enables GPS-denied, zero-shot autonomous ground vehicle navigation…