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Tsinghua University
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Automated synthesis can transform the personalization of animatronic faces, enabling rapid adaptation to diverse facial geometries with minimal manual intervention.
High-diversity training improves safety in VLA models, but sub-optimal trajectory synthesis still hinders task success.
The hardest AI tasks remain largely unsolved, with current models achieving only a 2.6% success rate on economically valuable workflows.
