​The Scalable Robot Learning Lab aims to enable robots to learn complex real-world tasks by developing scalable methods that leverage diverse data, prior knowledge, and physical interaction. Our research spans reinforcement learning, imitation learning, and world modeling, with a focus on humanoid whole-body control and dexterous manipulation toward general-purpose robot intelligence.​