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Action-Aligned Latent Planning for Versatile Humanoid Loco-Manipulation
Learning a single perceptive policy for diverse humanoid loco-manipulation requires unifying high-level task decisions without losing the state-dependent physical responses that make each interaction succeed. This makes the representation between high-level planning and whole-body control critical:
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