R2R-TopDown
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NavOne: One-Step Global Planning for Vision-Language Navigation on Top-Down Maps
arXiv:2605.06317v4 Announce Type: replace Abstract: Existing Vision-Language Navigation (VLN) methods typically adopt an egocentric, step-by-step paradigm, which struggles with error accumulation and limits efficiency. While recent approaches attempt to leverage pre-built environment maps, they often rely on incrementally updating memory graphs or scoring discrete path proposals, which restricts continuous spatial reasoning and creates discrete bottlenecks. We propose Top-Down VLN (TD-VLN),...