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Noitom Robotics,, The Hong Kong University of Science and Technology
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Achieving a staggering 98.7% success rate in humanoid loco-manipulation by seamlessly chaining meta-skills through a novel contact flow representation.
Humanoid robots can now nimbly switch between skills on the fly, thanks to a hierarchical reinforcement learning approach that leverages kinematic similarity for efficient transitions.
