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Coding agents can now autonomously refine robotic manipulation policies to achieve a staggering 99% success rate on complex tasks, revolutionizing real-world robotics.
Asynchronous event cameras can achieve superior motion estimation accuracy, outperforming traditional methods by leveraging a novel minimal solver for full DoF egomotion.
GRAIL achieves an impressive 84% success rate in real-world object pick-up tasks using only synthetic data, revolutionizing humanoid robot training.
