Humanoid Robot Reinforcement Learning Training

This training focuses on reinforcement learning for humanoid robots, combining advanced simulation with real-world deployment. You will learn how to train and validate RL-based control policies and apply them to real humanoid robots.

You will work through a full humanoid robotics pipeline, starting from low-level robot access and ending with learned control policies running on physical humanoid robots.

During the training, you will:

• Use a Unitree G1 EDU development PC and Unitree’s SDK to command, monitor, and control the robot at a low level
• Build and train reinforcement learning policies for humanoid locomotion and motion control in simulation
• Deploy learned policies on real humanoid robots

The training combines high-fidelity simulation, real robot execution, and hands-on debugging of simulation-to-real gaps that commonly appear in humanoid systems.