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Introduction to Physical AI & Humanoid Robotics

Welcome to the comprehensive textbook on Physical AI and Humanoid Robotics. This textbook is designed for university-level robotics and AI students, providing a complete foundation in embodied intelligence and humanoid robotics engineering.

About This Textbook​

This textbook covers:

  • Physical AI foundations and embodied intelligence principles
  • ROS 2 as the robotic nervous system
  • Digital twins using Gazebo, Isaac Sim, and Unity
  • Isaac ROS AI pipelines for perception, navigation, and manipulation
  • Hardware-accurate humanoid robotics engineering
  • Vision-Language-Action (VLA) architecture
  • Synthetic data pipelines for training robot perception
  • Simulation-to-real transfer workflows for humanoids
  • A complete capstone project: Voice → LLM Plan → ROS2 Action → Humanoid Execution

How to Use This Textbook​

This textbook is structured to take you from foundational concepts through advanced topics:

  1. Start with the Foundations section to understand Physical AI and Embodied Intelligence
  2. Move to Systems to learn about ROS 2 and sensor integration
  3. Explore Simulation techniques using multiple platforms
  4. Dive into AI & Perception with Isaac ROS pipelines
  5. Master Humanoid Robotics with kinematics and locomotion
  6. Implement Vision-Language-Action systems
  7. Complete the Capstone Project integrating all concepts

Each chapter includes executable code examples, diagrams, and practical exercises to reinforce learning.

Prerequisites​

Before starting this textbook, you should have:

  • Basic programming experience (Python preferred)
  • Understanding of linear algebra and calculus
  • Familiarity with robotics concepts (optional but helpful)

Technical Requirements​

To follow along with the examples, you'll need:

  • Ubuntu 22.04 LTS (recommended) or Windows 10/11 with WSL2
  • 16GB RAM minimum, 32GB recommended
  • NVIDIA GPU with CUDA support (RTX 3060 or better recommended)
  • ROS 2 Humble Hawksbill installed

For simulation and AI workloads, access to RTX workstations or Jetson Orin platforms is recommended.

Use the sidebar to navigate between chapters. Each section builds upon the previous ones, but you can also explore topics independently based on your interests.