Module 3: AI Brain (NVIDIA Isaac)
Module 3: AI Brain (NVIDIA Isaac)
Module Overview
This module delves into NVIDIA Isaac Sim and Isaac ROS for advanced AI in robotics, including perception, VSLAM, and navigation. You will learn how to leverage NVIDIA's powerful simulation and perception tools to create intelligent robotic systems with advanced AI capabilities.
Learning Objectives
By the end of this module, you will be able to:
- Use NVIDIA Isaac Sim for photorealistic simulation and synthetic data generation
- Implement Isaac ROS perception pipelines for cameras, LiDAR, and other sensors
- Apply Visual Simultaneous Localization and Mapping (VSLAM) techniques
- Integrate AI models with robotic perception systems
- Implement navigation solutions using Nav2 for humanoid robots
- Leverage GPU acceleration for robotics AI workloads
Required Tools
- ROS 2 Humble Hawksbill (or later)
- NVIDIA Isaac Sim (or compatible version)
- Isaac ROS packages
- NVIDIA GPU with CUDA support
- Python 3.8+
- Git
Module Structure
- Chapter 1: NVIDIA Isaac Sim – Digital Twin
- Chapter 2: Isaac ROS Perception + VSLAM
- Chapter 3: Navigation (Nav2) + Biped Concepts