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Winning the IROS 2026 Indoor Exploration Competition, this solution integrates pre-trained map completion and time-aware homing for single-robot exploration, and a utility-driven, data-sharing approach for multi-robot coordination.
Overcoming perceptual uncertainty in vision-language navigation is now possible by explicitly modeling geometric, semantic, and appearance uncertainty with a novel Uncertainty-Aware Gaussian Map.
