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Policies may succeed in tasks but still violate deformation tolerances, revealing a critical gap in current evaluation methods for deformable-object manipulation.
Action-conditioned objectives can significantly enhance the effectiveness of Euclidean-cost MPC by aligning latent representations with real task progress.
