NavOne enables one-step global path planning for vision-language navigation on top-down maps via a unified neural framework, achieving SOTA among map-based methods with 8x and 80x speedups on the new R2R-TopDown dataset.
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A vision-language model outputs dual heatmaps for navigation affordance and facing to ground semantic instructions into executable free space, achieving higher affordance rates than waypoint regression across simulated robot embodiments.
citing papers explorer
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NavOne: One-Step Global Planning for Vision-Language Navigation on Top-Down Maps
NavOne enables one-step global path planning for vision-language navigation on top-down maps via a unified neural framework, achieving SOTA among map-based methods with 8x and 80x speedups on the new R2R-TopDown dataset.
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Beyond Waypoints: Dual-Heatmap Grounding for Cross-Embodiment Semantic Navigation
A vision-language model outputs dual heatmaps for navigation affordance and facing to ground semantic instructions into executable free space, achieving higher affordance rates than waypoint regression across simulated robot embodiments.