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CMoE: Contrastive Mixture of Experts for Motion Control and Terrain Adaptation of Humanoid Robots
For effective deployment in real-world environments, humanoid robots must autonomously navigate a diverse range of complex terrains with abrupt transitions. While the Vanilla mixture of experts (MoE) framework is theoretically capable of modeling diverse terrain features, in practice, the gating net
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