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20222026
most citedShadowNav: Autonomous Global Localization for Lunar Navigation in Darkness

13 citations · 17 across the 10 of their papers we have counts for

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8 papers · 1 filter

cs.RO2026

Distilling Global Traversability Priors for Image-based Affordance Prediction in Off-road Environments

Matthew Sivaprakasam, Samuel Triest, Micah Nye +5

Standard methods for autonomous navigation in unstructured terrain are prone to myopic behaviors in long-horizon scenarios. The use of metric maps built from LiDAR or cameras provi…

cs.RO2026

WildOS: Open-Vocabulary Object Search in the Wild

Hardik Shah, Erica Tevere, Deegan Atha +6

Autonomous navigation in complex, unstructured outdoor environments requires robots to operate over long ranges without prior maps and limited depth sensing. In such settings, rely…

cs.RO2024★ 1 cited

RoadRunner M&M -- Learning Multi-range Multi-resolution Traversability Maps for Autonomous Off-road Navigation

Manthan Patel, Jonas Frey, Deegan Atha +3

Autonomous robot navigation in off-road environments requires a comprehensive understanding of the terrain geometry and traversability. The degraded perceptual conditions and spars…

cs.RO2024★ 13 cited

ShadowNav: Autonomous Global Localization for Lunar Navigation in Darkness

Deegan Atha, R. Michael Swan, Abhishek Cauligi +5

The ability to determine the pose of a rover in an inertial frame autonomously is a crucial capability necessary for the next generation of surface rover missions on other planetar…

cs.RO2024★ 1 cited

RoadRunner -- Learning Traversability Estimation for Autonomous Off-road Driving

Jonas Frey, Manthan Patel, Deegan Atha +7

Autonomous navigation at high speeds in off-road environments necessitates robots to comprehensively understand their surroundings using onboard sensing only. The extreme condition…

cs.RO2023

ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigation

Abhishek Cauligi, R. Michael Swan, Masahiro Ono +4

There has been an increase in interest in missions that drive significantly longer distances per day than what has currently been performed. Further, some of these proposed mission…

cs.RO2022

Self-Supervised Traversability Prediction by Learning to Reconstruct Safe Terrain

Robin Schmid, Deegan Atha, Frederik Schöller +8

Navigating off-road with a fast autonomous vehicle depends on a robust perception system that differentiates traversable from non-traversable terrain. Typically, this depends on a…

cs.RO2022★ 1 cited

Lunar Rover Localization Using Craters as Landmarks

Larry Matthies, Shreyansh Daftry, Scott Tepsuporn +5

Onboard localization capabilities for planetary rovers to date have used relative navigation, by integrating combinations of wheel odometry, visual odometry, and inertial measureme…