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| # Introduction to Physical AI & Humanoid Robotics | |
| Welcome to the comprehensive course on **Physical AI & Humanoid Robotics**. This course bridges the gap between digital AI systems and physical robot bodies, focusing on embodied intelligence and real-world interaction. | |
| ## Course Overview | |
| This course is structured into four core modules, each building upon the previous to provide a comprehensive understanding of humanoid robotics: | |
| 1. **ROS 2 – The Robotic Nervous System**: Learn the Robot Operating System 2, the middleware that connects all components of a robot. | |
| 2. **Gazebo & Unity – The Digital Twin**: Explore physics simulation and visualization tools for robot development and testing. | |
| 3. **NVIDIA Isaac – The AI-Robot Brain**: Understand AI frameworks that power autonomous robot behavior. | |
| 4. **Vision-Language-Action (VLA) – The Complete System**: Integrate perception, cognition, and action for complete robot autonomy. | |
| ## What You'll Learn | |
| By the end of this course, you will be able to: | |
| - Design and implement humanoid robot control systems using ROS 2 | |
| - Create realistic simulations using Gazebo and Unity | |
| - Deploy AI systems for perception and navigation using NVIDIA Isaac | |
| - Integrate vision, language, and action systems for complete autonomy | |
| - Implement an end-to-end autonomous humanoid system | |
| ## Prerequisites | |
| - Basic understanding of programming concepts (Python preferred) | |
| - Familiarity with Linux command line | |
| - Understanding of fundamental mathematics (linear algebra, calculus) | |
| - Interest in robotics and AI systems | |
| ## Getting Help | |
| If you encounter any issues or have questions while going through the course material, you can: | |
| 1. Use the embedded RAG chatbot that can answer questions based on this course content | |
| 2. Refer to the official ROS 2, Gazebo, Unity, and Isaac documentation | |
| 3. Engage with the community through the links in the footer | |
| 4. Open an issue in the course repository on GitHub | |
| ## Next Steps | |
| Begin with [Module 1: ROS 2 - The Robotic Nervous System](./modules/ros2/intro.md) to learn the foundational middleware that connects all robot components. |