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SPARK outperforms traditional code-generation agents by more than doubling their success rates, showcasing a new paradigm in robotic manipulation that prioritizes perception over costly re-querying.
Turns out, VLA models are mostly just looking at the scene: visual pathways dominate action generation, and language only matters when the visuals are ambiguous.
