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Ashton Flather

2 accepted papers

2025

PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain

RA-L 2025

Self-supervised learning is a powerful approach for developing traversability models for off-road navigation, but these models often struggle with inputs unseen during training. Existing methods utilize techniques like evidential deep learning to quantify model uncertainty, helping to identify and a

Cited by 25SourceScholar
2024

Look Before You Leap: Socially Acceptable High-Speed Ground Robot Navigation in Crowded Hallways

IROS 2024poster

To operate safely and efficiently, autonomous warehouse/delivery robots must be able to accomplish tasks while navigating in dynamic environments and handling the large uncertainties associated with the motions/behaviors of other robots and/or humans. A key scenario in such environments is the hallw…

Cited by 1SourceScholar