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GRAIL achieves an impressive 84% success rate in real-world object pick-up tasks using only synthetic data, revolutionizing humanoid robot training.
Event cameras unlock 6D pose tracking of novel objects at 120+ FPS, even with rapid motion, by fusing sparse event streams with depth in a way that generalizes zero-shot from synthetic training.