Author

Qian Chen

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Preprint Aug 2026

GWM-VLA: Geometry-Aware Latent World Modeling for Vision-Language-Action Learning

GWM-VLA is proposed, a geometry-aware latent world modeling framework for VLA learning that combines geometry-aware multi-view state encoding, global context-conditioned target-view prediction, and shared latent-action representations grounded by robot-action supervision.

Yanping Zhao, Hang Yu, Yi-Wei Wang et al. · 2 citations