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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 FREE CHAPTER
2. Introduction to ROS 2 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

Working with ROS 2 and Perception Stack

Robots interact with the environment thanks to their sensors. Without sensors, robots are blind machines unable to react to the world’s stimuli and can only perform cyclic motions. However, adding sensors to a robot also means the necessity to implement proper algorithms to process the sensor data. One of the most common sensor types used in robotics is visual sensors, like cameras. In this chapter, we will discuss how to interface standard cameras with our laptops and elaborate images using Open Computer Vision (OpenCV), a popular open-source library to process video streams. In addition, we will see the main limitations of cameras, that is, the missing information about the depth. For this reason, we will discuss another type of sensor: depth sensors and the processing of their data (point cloud data). Apart from these libraries that offer functionalities to elaborate raw image and spatial data, we will discuss artificial intelligence...

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