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By leveraging wrist guidance, WristMimic achieves superior manipulation performance without the need for detailed finger pose supervision, revolutionizing how we approach humanoid control.
Organizing views into diversity-aware chunks can drastically enhance the performance of geometry transformers while slashing memory costs and inference times.