arXiv Computer Vision By Thinh D. Le, Son T. Nguyen, Duong Q. Nguyen, Dung D. Le, Ngo Anh Vien, H. Nguyen-Xuan

WareFly-VLA: A Vision-Language-Action Framework for UAV Navigation and Human Tracking in Smart Warehouses

Read the original on arXiv Computer Vision →

WareFly-VLA is a photorealistic vision‑language‑action framework and dataset for UAV navigation and human tracking in smart warehouses. It comprises 507 human‑teleoperated flight episodes with 8,504 high‑resolution RGB transitions, each paired with a natural‑language description of a target worker and a synchronized four‑degree‑of‑freedom control command. The benchmark evaluates four open‑source VLA architectures on tasks such as target approach and person following, revealing significant challenges for language‑conditioned aerial control under realistic warehouse conditions.

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