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A novel flow matching approach bypasses iterative rendering and complex 2D-3D registration for robust monocular robot pose estimation, achieving superior zero-shot cross-scene generalization.
TDHD boosts surgical manipulation success rates by up to 25% by intelligently adapting action execution based on real-time reliability assessments.
Role-aware evidence routing in surgical video prediction leads to superior performance, demonstrating that asymmetric information exchange can enhance multi-observer models.