Human cognition flexibly draws on a shared perceptual foundation to understand environments, attend to referenced entities, reason about spatial relationships, and act. Endowing aerial robots with an
OpenFlyV2 is a unified onboard vision-language-action model that enables real-time aerial navigation and reasoning on resource-constrained hardware using shared multimodal representations.
Human cognition flexibly draws on a shared perceptual foundation to understand environments, attend to referenced entities, reason about spatial relationships, and act. Endowing aerial robots with an analogous functional organization remains challenging, as existing systems are often specialized for individual capabilities, dependent on offboard computation, or unable to sustain closed-loop operation on resource-constrained platforms. We present OpenFlyV2, a unified onboard vision-language-action architecture that uses a shared vision-language representation to support semantic understanding, language-grounded perception, spatial reasoning, and continuous aerial control within a single…
Summary and abstract excerpt via Hugging Face Papers ↗ · arXiv.
OpenFlyV2: An onboard vision-language-action model for aerial perception and navigation was first seen on Hugging Face · Daily papers on Nov 2, 2026. Since then it has appeared in 9 checks on 2 different days. Its best position was #25 of 30, reached on Nov 2, 15:28 UTC. It dropped off the list after Nov 3, 01:28 UTC.
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Not at the moment. It was last on the list on Nov 3, 01:28 UTC, after 2 days of trending.
#25 on Hugging Face · Daily papers, on Nov 2, 15:28 UTC. Trendoday checks this list every 120 minutes.
It was first seen on Nov 2, 2026 and has been on the list on 2 days (9 checks) since.