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AURORA: Active Uncertainty-Driven Re-Orientation for In-Hand Reconstruction
Observing objects grasped by a robot hand is challenging due to severe visual occlusions. Although in-hand manipulation can expose hidden surfaces, existing approaches often rely on predefined or open-loop reorientation strategies that do not explicitly target under-observed regions. We propose AURO
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