Summary of Architecture

Summary of Lab Architecture

To teach this course successfully, your lab infrastructure should include the following components:

Component	Hardware	Function
Sim Rig	PC with RTX 4080 + Ubuntu 22.04	Runs Isaac Sim, Gazebo, Unity, and trains LLM/VLA models.
Edge Brain	Jetson Orin Nano	Runs the "Inference" stack. Students deploy their code here.
Sensors	RealSense Camera + Lidar	Connected to the Jetson to feed real-world data to the AI.
Actuator	Unitree Go2 or G1 (Shared)	Receives motor commands from the Jetson.