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GeoAlign: Beyond Semantics with State-Guided Spatial Alignment in VLA Models

Chen, Yizhi et al.
arXiv (All) · Papers
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robotics
Current Vision-Language-Action (VLA) models often optimize for semantic grounding, whereas executable manipulation requires geometry-aware spatial alignment. We introduce GeoAlign, a state-guided spatial alignment architecture for VLA policy learning. Offline robot-domain RGB-D supervision post-trai
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