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Welcome to Physical AI & Humanoid Robotics

Welcome to the comprehensive textbook on Physical AI and Humanoid Robotics! This interactive learning resource is designed to take you from foundational concepts to advanced applications in the field of embodied artificial intelligence.

Learning Objectives​

  • Understand the fundamental principles of Physical AI
  • Learn about the architecture of modern humanoid robotics systems
  • Explore the integration of AI with physical systems
  • Gain practical experience with ROS 2, simulation environments, and AI frameworks

About This Textbook​

This textbook is structured into four progressive modules that build upon each other:

  1. Module 1: ROS 2 Fundamentals - Learn the foundation of robot operating systems
  2. Module 2: The Digital Twin - Explore simulation environments (Gazebo & Unity)
  3. Module 3: The AI-Robot Brain - Master NVIDIA Isaac platform
  4. Module 4: Vision-Language-Action Systems - Integrate LLMs with robotics

Each module contains theoretical concepts, practical exercises, and assessments to ensure comprehensive learning.

Getting Started​

Begin with the About This Textbook page to understand the pedagogical approach, or jump directly to Module 1 to start your learning journey.

  • Use the sidebar to navigate between sections
  • Each chapter includes learning objectives and assessments
  • Look for Python code examples throughout the content
  • The chat assistant (bottom-right) is available for questions about the content

Prerequisites​

  • Basic programming knowledge (Python preferred)
  • Understanding of linear algebra and calculus
  • Familiarity with Linux command line (helpful but not required)

Next Steps​

Continue to About This Textbook to learn more about the approach and methodology used in this resource.

Further Reading​

  • Siciliano, B., & Khatib, O. (2016). Springer Handbook of Robotics
  • Thrun, S., Burgard, W., & Fox, D. (2005). Probabilistic Robotics