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PiL-World slashes the gap between simulated and real-world VLA success rates by over 50%, revolutionizing how we evaluate robotic policies.
Unified benchmarks reveal the state-of-the-art in simultaneously addressing multiple real-world image degradations like blur, low-light, and rain.
