OSCAR learns class-conditioned survival distributions for obstacle clearance times online (handling right-censored data) to compute patience thresholds in graph-based navigation, converging near oracle performance after few observations per class.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
SALSA aligns social features and adds future-risk signals in VLA models to cut near-collisions by 86.4% and raise social accuracy from 53% to 93% on SCAND and real robots.
citing papers explorer
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OSCAR: Obstacle Survival Curves for Adaptive Robot Navigation
OSCAR learns class-conditioned survival distributions for obstacle clearance times online (handling right-censored data) to compute patience thresholds in graph-based navigation, converging near oracle performance after few observations per class.
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Act on What You See: Unlocking Safe Social Navigation in Vision-Language-Action Models
SALSA aligns social features and adds future-risk signals in VLA models to cut near-collisions by 86.4% and raise social accuracy from 53% to 93% on SCAND and real robots.