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DEXTERA: From a Single Image to Deployable Dexterous Manipulation via Real-to-Sim-to-Real
Collecting real-world robot data for dexterous manipulation is costly and time-consuming. While high-fidelity physics simulators enable scalable data synthesis and policy learning, constructing deployment-ready digital twins manually remains labor-intensive, and residual visual, geometric, and dynam
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