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RoboDojo reveals that integrating simulation and real-world tasks can significantly enhance the evaluation of robot manipulation policies, bridging the gap between theoretical performance and practical deployment.
A single policy masters 40 diverse robot manipulation tasks by intelligently reusing demonstrations and prioritizing learning progress, achieving 90%+ success and transferring to the real world.
