TARIC: Memory-Augmented Traversability-Aware Outdoor VLN under Interrupted Semantic Cues

Outdoor vision-language navigation (VLN) in long-range, open-world environments is frequently disrupted by semantic-cue interruptions, where informative goal cues become sparse, occluded, or leave the field of view. Once such cues disappear, agents enter a cue-free phase and often degrade into backtracking, oscillatory headings, or aimless exploration. While memory-based methods attempt to bridge these gaps, they often fail under traversability-driven detours: the remembered cue direction may be

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ethics.ai (29 May 2026), “TARIC: Memory-Augmented Traversability-Aware Outdoor VLN under Interrupted Semantic Cues,” evidence record 3442, https://ethics.ai/record/3442 (originally published by arXiv).

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