HumanPlus is a research project aimed at training humanoid robots to learn skills autonomously by imitating human actions. The project simulates reinforcement learning to train low-level policies, applying these policies to the real world for real-time tracking of human body and hand movements. Through shadow imitation techniques, operators can remotely control the robot to collect full-body data for learning different tasks. Additionally, behavior cloning techniques enable the robot to imitate human skills and perform various tasks.