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Zhejiang University
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Tactile-WAM achieves a remarkable 38.9% improvement in action success rates by effectively managing tactile information in robot decision-making.
MVOFormer outperforms traditional learning-based MVO methods by achieving superior zero-shot generalization and robustness through a novel flow-semantic architecture.
