This program focuses on developing Physical AI systems for humanoid robot locomotion and manipulation using the NVIDIA Isaac platform. Students develop deep reinforcement learning (DRL)-based locomotion policies and GR00T-based manipulation capabilities, while implementing Sim-to-Real techniques to deploy learned behaviors on real robotic systems. Through this process, participants gain practical experience in robotics, artificial intelligence, and system integration, preparing them to address real-world challenges in intelligent humanoid robot applications.