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Extracting interaction cues from a frozen video model enables robots to achieve up to 90.6% success in manipulation tasks without costly rollout processes.
A $14K bimanual robot with a Python-first control framework could democratize embodied AI research by lowering the barrier to entry for complex manipulation tasks.
