# VEGA: Training Navigation VLAs with In-the-Wild Egocentric Video and Geometric Trajectory Supervision

- Source: arXiv cs.RO
- Published: 2026-11-02T05:00:00.000Z
- RoboHot: https://robohot.news/en/items/ti51fe7i7b0tsy6q933bglrti
- Original: https://arxiv.org/abs/2606.18426

## Summary

VEGA proposes a method for training navigation Vision-Language-Action (VLA) models from unlabeled egocentric navigation videos. It reconstructs local scene geometry from monocular video, samples text, image, and spatial waypoint goals, and generates obstacle-avoidance trajectories, then uses these trajectories to train a flow-matching VLA navigation policy; geometry is used only during training.