Module 3: The AI-Robot Brain (NVIDIA Isaac)
Welcome to the third module of the Physical AI & Humanoid Robotics Textbook! This module focuses on implementing artificial intelligence in robotics using the NVIDIA Isaac platform.
Overview
In this module, you'll learn:
- The fundamentals of NVIDIA Isaac SDK and Isaac Sim
- How to generate synthetic data for training AI models
- How to implement Visual Simultaneous Localization and Mapping (VSLAM)
- How to use NAV2 for path planning
- How to implement AI-powered perception systems
- How to apply reinforcement learning to robot control
- How to transfer learned behaviors from simulation to reality
Prerequisites
- Completed Modules 1 and 2
- Understanding of neural networks and machine learning concepts
- Experience with Python and robotics frameworks
- Basic knowledge of computer vision
Chapters
This module contains 7 chapters that will teach you to build AI-powered robots:
- NVIDIA Isaac SDK Overview
- Synthetic Data Generation
- Isaac ROS VSLAM
- Nav2 Path Planning
- AI-Powered Perception
- Reinforcement Learning for Control
- Sim-to-Real Transfer
Each chapter includes hands-on exercises, code examples, and assessments to reinforce your learning.