AINeutralarXiv – CS AI · 7h ago6/10
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TARIC: Memory-Augmented Traversability-Aware Outdoor VLN under Interrupted Semantic Cues
Researchers present TARIC, a vision-language navigation framework that enables autonomous robots to complete outdoor navigation tasks despite interruptions in visual goal cues. The system combines semantic understanding with real-time traversability analysis to maintain feasible guidance during extended periods without visible landmarks, achieving 40% real-world success compared to 17.5% for existing methods.