G cubed VLA: Geometric Inductive Bias for Vision-Language-Action Models

Name: G cubed VLA: Geometric Inductive Bias for Vision-Language-Action Models
Uploaded: 2026-10-17T16:41:33.682609+00:00
Duration: 968 s
Description: G3VLA adds camera-aware geometric structure to Vision-Language-Action (VLA) models without changing their core learning goals. It injects calibrated data using ray embeddings and cross-view fusion, allowing models to reason better across multiple cameras. This method improves performance on tasks like LIBERO and RoboCasa24 by grounding visual tokens in real camera geometry.

G3VLA adds camera-aware geometric structure to Vision-Language-Action (VLA) models without changing their core learning goals. It injects calibrated data using ray embeddings and cross-view fusion, allowing models to reason better across multiple cameras. This method improves performance on tasks like LIBERO and RoboCasa24 by grounding visual tokens in real camera geometry.

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