Welcome to the AI Native Textbook on Physical AI & Humanoid Robotics
This textbook provides a comprehensive guide to understanding and working with Physical AI and Humanoid Robotics through hands-on experiences in simulated and real-world environments.
Course Modules
This textbook is structured into four core modules:
Module 1: The Robotic Nervous System (ROS 2)
Learn about the Robot Operating System 2 (ROS 2) as the middleware for robot control. Covering topics like ROS 2 Nodes, Topics, and Services, bridging Python Agents to ROS controllers, and URDF for Humanoids.
Module 2: The Digital Twin (Gazebo & Unity)
Explore physics simulation and environment building using Gazebo and Unity. Learn to simulate physics, gravity, and collisions, as well as high-fidelity rendering for human-robot interaction.
Module 3: The AI-Robot Brain (NVIDIA Isaac)
Delve into advanced perception and training using NVIDIA Isaac Sim, Isaac ROS for VSLAM, and Nav2 for path planning for humanoid movement.
Module 4: Vision-Language-Action (VLA)
Discover the convergence of LLMs and Robotics through OpenAI Whisper for voice commands and cognitive planning for natural language processing.
Interactive Learning
This textbook includes:
- An integrated RAG (Retrieval-Augmented Generation) chatbot to answer your questions about the content
- Interactive components for hands-on learning experiences
- Urdu translation support for localized learning
- Personalized learning paths based on your progress and preferences
Learning Objectives
After completing this textbook, you will be able to:
- Identify 4+ key AI applications in humanoid robotics
- Cite 15+ peer-reviewed academic sources related to the core technologies
- Apply AI knowledge in simulated humanoid robot environments
- Evaluate the effectiveness of different approaches to humanoid robotics
Getting Started
Click on any module link above to begin your learning journey, or browse the contents in the sidebar. Each module builds on the previous ones, but can also be studied independently depending on your background and interests.