Module 2: The Digital Twin (Gazebo & Unity)
Master physics simulation and visualization for robot development
Module Overview
This module teaches you to create digital twins—virtual representations of physical robots. You'll learn Gazebo for physics simulation and Unity for high-quality visualization, enabling you to develop and test robots without physical hardware.
By the end of this module, you will:
- Understand digital twin concepts and benefits
- Set up Gazebo simulation environments
- Spawn and control robots in Gazebo
- Integrate sensors (cameras, LiDAR, IMU) in simulation
- Use Unity for photorealistic visualization
- Build human-robot interaction scenes
Prerequisites
- Module 1 Complete: ROS 2 fundamentals and URDF modeling
- Ubuntu 22.04: With ROS 2 Humble/Iron installed
- Gazebo: Installed via ROS 2 packages
- Unity (Optional): For visualization chapters
Module Structure
Chapter 1: Gazebo Simulation Basics
Type: Theory-to-Practice
Lessons: 6
Duration: 10-12 hours
You will learn:
- Gazebo's role in robotics development
- Setting up simulation environments
- Spawning robots from URDF/SDF
- Physics engines and simulation parameters
- Sensor simulation (cameras, LiDAR, IMU)
- Visualization and debugging tools
Chapter 2: Robot Control in Gazebo
Type: Practice-Heavy
Lessons: 6
Duration: 12-14 hours
You will learn:
- Controlling robot joints via ROS 2 topics
- ros2_control for hardware abstraction
- Position, velocity, and effort control modes
- Mobile base control (differential drive)
- Manipulator arm control
- Trajectory execution
Chapter 3: Unity Integration for Visualization
Type: Practice-Heavy
Lessons: 4
Duration: 8-10 hours
You will learn:
- Unity's role in robotics visualization
- ROS-TCP-Connector setup
- Basic robot visualization in Unity
- Sensor data streaming from ROS 2
- Human-robot interaction scenes
Module Learning Path
Chapter 1: Gazebo Basics
↓ (Understand simulation fundamentals)
Chapter 2: Robot Control
↓ (Control robots in simulation)
Chapter 3: Unity Visualization
↓ (High-quality visualization)
───────────────────────────────────
Module 2 Complete! → Module 3: AI-Robot Brain
Estimated Time Commitment
| Component | Time |
|---|---|
| Reading & Theory | 10-12 hours |
| Hands-On Practice | 20-26 hours |
| Projects | 8-12 hours |
| Total Module 2 | 38-50 hours |
Recommended Pace: 10-15 hours per week = 3-4 weeks to complete
What You'll Build
Chapter 1 Projects
- Spawn simple robot in Gazebo
- Add sensors (camera, LiDAR, IMU)
- Tune physics parameters
Chapter 2 Projects
- Control joints via ROS 2 topics
- Set up ros2_control
- Control mobile base navigation
- Control manipulator arm
Chapter 3 Projects
- Unity robot visualization
- Sensor data streaming
- Human-robot interaction scene
Success Criteria
You have successfully completed Module 2 when you can:
- Spawn robots in Gazebo from URDF/SDF
- Simulate sensors and access data via ROS 2
- Control robots using ros2_control
- Visualize robots in Unity
- Create basic human-robot interaction scenes
Tools & Resources
Required Software
- Gazebo: Classic (ROS 2 Humble) or Garden (ROS 2 Iron)
- ROS 2: Humble or Iron
- Unity (Optional): 2021.3 LTS or newer
- ROS-TCP-Connector: For Unity integration
Installation Guides
Reference Documentation
Ready to Begin?
Start with Chapter 1: Gazebo Simulation Basics
Learn to create and control robots in simulation.