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California Institute of Technology
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A humanoid robot can learn to hit a backhand in under an hour using just a single demonstration, revolutionizing the efficiency of robotic skill acquisition.
Despite advancements in 3D joint angle recovery, existing models falter in depth estimation and foot contact, revealing crucial gaps in pose estimation performance.
Guaranteeing stability for complex robot locomotion just got easier: HALO learns low-dimensional models that accurately predict stability regions in the full state space.
