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Watch a robotics colloquium talk where Xiaolong Wang from UC San Diego presents "Modeling Humans for Humanoid Robots." Learn about a 2-level learning framework designed to equip humanoid robots with human-like mobility and manipulation skills. The framework combines a Vision-Language-Action model trained on human video data with low-level robot skills developed through human imitation. Discover how this approach creates a scalable pathway toward general-purpose humanoid robots that can generalize across diverse tasks, objects, and environments. Wang, an Assistant Professor in ECE at UC San Diego and Visiting Professor at NVIDIA Research, shares insights from his research at the intersection of computer vision and robotics, for which he has received numerous awards including the Sloan Research Fellowship and NSF CAREER Award.
