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Zero-robot post-training on high-fidelity UMI data achieves real-world performance that rivals traditional teleoperation methods, revolutionizing data efficiency in robotic manipulation.
Legato makes action-chunked VLA policies smoother and faster by learning a native continuation that eliminates the discontinuities introduced by chunking.