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The paper introduces BeyondSCe, a zero-shot robotic grasping system that identifies objects referenced by past human-object interactions rather than names or appearance, and actively selects camera viewpoints to reveal occluded targets, achieving 76-77% grasp success rates that significantly outperform baselines.
NVIDIA Research presents three papers at CVPR: GraspGen-X (zero-shot grasping foundation model), LCDrive (efficient autonomous driving reasoning), and NitroGen (generalized gameplay AI foundation model), highlighting training at scale for physical AI systems.