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Mastering ROS 2 for Robotics Programming

You're reading from   Mastering ROS 2 for Robotics Programming Design, build, simulate, and prototype complex robots using the Robot Operating System 2

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Product type Paperback
Published in Jul 2025
Publisher Packt
ISBN-13 9781836209010
Length 576 pages
Edition 4th Edition
Concepts
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Authors (2):
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Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
Jonathan Cacace Jonathan Cacace
Author Profile Icon Jonathan Cacace
Jonathan Cacace
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Toc

Table of Contents (22) Chapters Close

Preface
1. Part I: ROS 2 Programming and Simulation
2. Introduction to ROS 2 FREE CHAPTER 3. Getting Started with ROS 2 Programming 4. Implementing ROS 2 Concepts 5. Working with Robot 3D Modeling in ROS 2 6. Simulating Robots in a Realistic Environment 7. Part II: ROS 2 Applications: Navigation, Manipulation, and Control
8. Controlling Robots Using the ros2_control Package 9. Implementing ROS 2 Applications Using BehaviorTree.CPP 10. ROS 2 Navigation Stack: Nav2 11. Robot Manipulation Using MoveIt 2 12. Working with ROS 2 and Perception Stack 13. Part III: Advanced Applications and Machine Learning
14. Aerial Robotics and ROS 2 15. Designing and Programming a DIY Mobile Robot from Scratch 16. Testing, Continuous Integration, and Continuous Deployment with ROS 2 17. Interfacing Large Language Models with ROS 2 18. ROS 2 and Deep Reinforcement Learning 19. Implementing ROS 2 Visualization and Simulation Plugins 20. Other Books You May Enjoy
21. Index

Creating ROS 2 AI agents

This section will explore a few ROS 2 AI agent projects from the basics to advanced levels and see how to set them up on a local PC.

In Chapter14/docker_llm, you can find the Dockerfile and scripts to build a new image for the ROS 2 AI agent application.

You can use the following command to build the image:

./build_image.sh ros2_llm master_ros2_ws robot

In this command, ros2_llm is the Docker image name, master_ros2_ws is the ROS 2 workspace name, and robot is the username of the Docker container.

After building the image, we can create the container using the following command:

./create_container.sh ros2_llm master_ros2_ws ros2_ai

In this command, we have to provide the image name first, which is ros2_llm, and the second argument is the ROS 2 workspace, which is master_ros2_ws. The third argument is the container name, which is ros2_ai. The container will mount master_ros2_ws from the host machine, so we can build those packages...

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