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RACO boosts UAV navigation success rates by over 9% by transforming coarse goals into dynamic hypotheses that adapt to real-time visual contexts.
Allocating additional computation during decision-making boosts long-horizon robot manipulation success by significantly enhancing subtask prediction accuracy.
