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StrataVLA: Hierarchical and Efficient 3D Geometric Grounding for Vision-Language-Action Models
Vision-Language-Action (VLA) models inherit strong semantic priors from large-scale vision-language pretraining, yet remain limited in robotic manipulation by insufficient 3D spatial awareness. Existing approaches either require explicit depth or point-cloud inputs, compress geometry into training-t
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