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Robots often fail at simple household tasks not because they're confused, but because their plans become detached from the messy, ever-changing physical world.
Aerial VLN is ripe for disruption by LLMs, but current benchmarks lack the scale, diversity, and real-world grounding needed to truly evaluate progress.