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Mastering ROS for Robotics Programming, Third edition

You're reading from   Mastering ROS for Robotics Programming, Third edition Best practices and troubleshooting solutions when working with ROS

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801071024
Length 594 pages
Edition 3rd Edition
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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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Table of Contents (22) Chapters Close

Preface 1. Section 1 – ROS Programming Essentials
2. Chapter 1: Introduction to ROS FREE CHAPTER 3. Chapter 2: Getting Started with ROS Programming 4. Section 2 – ROS Robot Simulation
5. Chapter 3: Working with ROS for 3D Modeling 6. Chapter 4: Simulating Robots Using ROS and Gazebo 7. Chapter 5: Simulating Robots Using ROS, CoppeliaSim, and Webots 8. Chapter 6: Using the ROS MoveIt! and Navigation Stack 9. Chapter 7: Exploring the Advanced Capabilities of ROS MoveIt! 10. Chapter 8: ROS for Aerial Robots 11. Section 3 – ROS Robot Hardware Prototyping
12. Chapter 9: Interfacing I/O Board Sensors and Actuators to ROS 13. Chapter 10: Programming Vision Sensors Using ROS, OpenCV, and PCL 14. Chapter 11: Building and Interfacing Differential Drive Mobile Robot Hardware in ROS 15. Section 4 – Advanced ROS Programming
16. Chapter 12: Working with pluginlib, nodelets, and Gazebo Plugins 17. Chapter 13: Writing ROS Controllers and Visualization Plugins 18. Chapter 14: Using ROS in MATLAB and Simulink 19. Chapter 15: ROS for Industrial Robots 20. Chapter 16: Troubleshooting and Best Practices in ROS 21. Other Books You May Enjoy

Chapter 14: Using ROS in MATLAB and Simulink

In previous chapters, we discussed how to simulate and control robots implementing ROS nodes in C++. In this chapter, we will learn how to create ROS nodes using MATrix LABoratory (MATLAB), a powerful piece of software that provides several toolboxes with algorithms and hardware connectivity to develop autonomous robotic applications for ground vehicles, manipulators, and humanoid robots. Also, MATLAB integrates Simulink: a block diagram environment for model-based design, allowing the implementation of our control programs through a graphical editor. In this chapter, we will also discuss how to implement robotic applications using Simulink.

The first part of this chapter is dedicated to a brief introduction to MATLAB and Robotics System Toolbox. After we have learned how to exchange data between ROS and MATLAB, we will implement an obstacle avoidance system for the differential drive mobile robot TurtleBot, showing how simple it is to...

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