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VLMs on edge devices are surprisingly energy-intensive, with text generation dominating image processing costs, and NPU offloading drastically outperforming CPU backends.
Ditch the complex modules: a minimalist, end-to-end vision-language-action model for UAV navigation achieves 3x better generalization than leading baselines by directly mapping visual inputs and language to continuous control.