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Emotions' hierarchical structure is finally captured in multimodal recognition by fusing Euclidean token-level fusion with hyperbolic core routing, achieving state-of-the-art results.
Force-based memory enables VLA models to achieve over 80% success in complex manipulation tasks, outperforming traditional memory methods with minimal computational cost.
