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Achieving a 71% success rate in real-world dexterous manipulation across diverse objects, DemoMimic reveals the critical role of local contact geometry in enhancing sim-to-real transfer.
Simulation-based pre-training can drastically improve the dexterity of robotic hands, outperforming traditional training methods with just a fraction of real-world data.