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Achieving an 88.75% success rate in dexterous manipulation tasks, RealDexUMI bridges the gap between human demonstrations and robot execution without losing critical dexterity.
VLMs can now drive embodied agents to navigate complex environments with unprecedented efficiency, thanks to a novel framework that bridges the gap between 2D semantic understanding and 3D spatial reasoning.
