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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

Integrating robotics and computer vision

Robotics and computer vision are closely connected fields, as robots rely on computer vision to complete a variety of tasks. The data from computer vision algorithms helps robots with tasks such as:

  • Object recognition: Identifying and classifying objects, either through semantic classification or 3D shape matching.
  • Obstacle avoidance: Enabling robots to detect and navigate around obstacles safely.

In simple terms, computer vision allows robots to interpret visual information, recognize objects, and understand their surroundings. Depending on the specific application, different processing techniques or vision sensors may be required. One of the most widely used software libraries for image processing on standard computers is OpenCV. OpenCV is an open-source library that offers a wide range of tools and algorithms for computer vision, machine learning, and image processing. It is highly versatile and can be used for...

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