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Mastering ROS for Robotics Programming, Third edition - Third Edition

You're reading from  Mastering ROS for Robotics Programming, Third edition - Third Edition

Product type Book
Published in Oct 2021
Publisher Packt
ISBN-13 9781801071024
Pages 594 pages
Edition 3rd Edition
Languages
Concepts
Authors (2):
Lentin Joseph Lentin Joseph
Profile icon Lentin Joseph
Jonathan Cacace Jonathan Cacace
Profile icon Jonathan Cacace
View More author details

Table of Contents (22) Chapters

Preface 1. Section 1 – ROS Programming Essentials
2. Chapter 1: Introduction to ROS 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

Building a map using SLAM

Before to start configuring the Navigation stack, we need to install it. The ROS desktop full installation will not install the ROS Navigation stack. We must install the Navigation stack separately, using the following command:

sudo apt-get install ros-noetic-navigation  

After installing the Navigation package, let's start learning how to build a map of the robot environment. The robot we are using here is the differential wheeled robot that we discussed in the previous chapter. This robot satisfies all three requirements of the Navigation stack.

The ROS gmapping package is a wrapper of the open source implementation of SLAM, called OpenSLAM (https://openslam-org.github.io/gmapping.html). The package contains a node called slam_gmapping, which is the implementation of SLAM and helps to create a 2D occupancy grid map from the laser scan data and the mobile robot pose.

The basic hardware requirement for doing SLAM is a laser scanner...

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