The Robotic Nervous System (ROS 2)
Welcome to the ROS 2 module for AI engineers transitioning to robotics. This module will help you understand ROS 2 as the middleware "nervous system" for humanoid robots and enable communication between AI agents and physical robot controllers.
About This Module
This educational module is designed for:
- AI engineers and developers transitioning into robotics
- Learners with Python and basic AI background, new to ROS 2
- Anyone interested in connecting AI systems to robotic platforms
Learning Path
The module is organized into three progressive chapters:
- Introduction to ROS 2 for Physical AI - Understand ROS 2 fundamentals and architecture
- ROS 2 Nodes and Python Agent Integration - Create nodes and connect AI agents to robot controllers
- Modeling the Humanoid with URDF - Define robot structure using Unified Robot Description Format
Each chapter builds on the previous one, providing both theoretical understanding and practical implementation.
Prerequisites
- Basic Python knowledge
- Understanding of AI/ML concepts
- Familiarity with command line tools
Learning Objectives
After completing this module, you will be able to:
- Explain ROS 2 core concepts and terminology
- Create ROS 2 nodes and connect Python agents
- Read and understand humanoid URDF files
- Prepare for simulation in the next module