Translated Data: The AI framework H2O developed by the Carnegie Mellon University team utilizes reinforcement learning to enable real-time human motion control of humanoid robots. Through privileged imitator screening and the construction of motion datasets, successful full-body motion teleoperation in real-world scenarios has been achieved. RGB cameras capture human movements, and the robot mimics and executes them instantly.