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Achieving 100% success on complex robotic tasks with just one demonstration could revolutionize how we approach real-world robotic learning.
Rule-grounded reasoning can cut average distance errors in driving VLAs by nearly half, fundamentally enhancing their decision-making transparency and reliability.
