Exp2VLA: Enabling Vision-Language-Action for Drone Navigation from Expert Demonstrations
arXiv:2607.03146v1 Announce Type: new Abstract: Vision-language-action (VLA) models open a new path toward intuitive robot control by directly linking perception, language, and action in a single end-to-end framework. Yet for UAVs, practical adoption remains difficult because existing solutions are either computationally heavy or insufficiently capable in complex environments. In this work, we propose a practical expert-distillation pipeline (Exp2VLA) for language-conditioned drone navigation. T...
arXiv cs.RO
·Van Huyen Dang, Kabilesh Rajendran, Erdi Sayar, Erdal Kayacan
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