Author

Yuan Ma

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Preprint Jul 2026

FoMoVLA: Bridging Visual Foresight and Motion Guidance for Vision-Language-Action Models

FoMoVLA is proposed, a framework that augments VLA representations with explicit spatio-temporal supervision by jointly learning future feature foresight and sparse 2D point tracking, enhancing the continuous action policy.

Wei Li, Peijin Jia, Yuan Ma et al. · 0 citations