VEGA reconstructs local geometry from monocular egocentric video to create supervised trajectories that train a flow-matching VLA policy, yielding lower collision rates on a new benchmark and in real-world tests.
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VEGA: Learning Navigation VLAs from In-the-Wild Egocentric Video with Geometric Trajectory Supervision
VEGA reconstructs local geometry from monocular egocentric video to create supervised trajectories that train a flow-matching VLA policy, yielding lower collision rates on a new benchmark and in real-world tests.