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Introduction to Physical AI & Humanoid Robotics

Welcome to the comprehensive 13-week curriculum on Physical AI and Humanoid Robotics! This course is designed for industry engineers with Python knowledge who want to learn advanced robotics concepts in a structured learning path.

Course Overview​

This textbook covers the essential topics needed to understand and work with physical AI systems and humanoid robots:

  • Weeks 1-2: Introduction to Physical AI and embodied intelligence
  • Weeks 3-5: ROS 2 fundamentals for robotics development
  • Weeks 6-7: Robot simulation with Gazebo
  • Weeks 8-10: NVIDIA Isaac Platform for AI-powered robotics
  • Weeks 11-12: Humanoid robot development
  • Week 13: Conversational robotics integration

Learning Objectives​

By the end of this course, you will be able to:

  • Understand the principles of Physical AI and embodied intelligence
  • Develop robotic applications using ROS 2
  • Create simulation environments with Gazebo
  • Implement AI-powered perception and manipulation using NVIDIA Isaac
  • Design humanoid robot control systems
  • Integrate conversational AI in robotic systems

Prerequisites​

  • Working knowledge of Python
  • Basic understanding of robotics concepts
  • Familiarity with Linux command line (recommended)

How to Use This Textbook​

Each week builds upon the previous concepts, so we recommend following the curriculum in order. You'll find:

  • Theoretical concepts and explanations
  • Practical examples and code snippets
  • Interactive components to experiment with
  • Assessment projects to validate your learning
  • Links to additional resources

Getting Started​

Begin with Week 1-2: Introduction to Physical AI to start your journey into Physical AI and Humanoid Robotics.