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The Hong Kong University of Science and Technology (Guangzhou)
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Hierarchical control in humanoid robots can solve complex leg-critical tasks, but performance is fragile and heavily reliant on the choice of motion tracker.
TimeBlocks outperforms traditional time-series models by dynamically constructing lightweight, adaptable models that excel in real-time processing.