Book Image

Mastering ROS for Robotics Programming, Third edition - Third Edition

By : Lentin Joseph, Jonathan Cacace
Book Image

Mastering ROS for Robotics Programming, Third edition - Third Edition

By: Lentin Joseph, Jonathan Cacace

Overview of this book

The Robot Operating System (ROS) is a software framework used for programming complex robots. ROS enables you to develop software for building complex robots without writing code from scratch, saving valuable development time. Mastering ROS for Robotics Programming provides complete coverage of the advanced concepts using easy-to-understand, practical examples and step-by-step explanations of essential concepts that you can apply to your ROS robotics projects. The book begins by helping you get to grips with the basic concepts necessary for programming robots with ROS. You'll then discover how to develop a robot simulation, as well as an actual robot, and understand how to apply high-level capabilities such as navigation and manipulation from scratch. As you advance, you'll learn how to create ROS controllers and plugins and explore ROS's industrial applications and how it interacts with aerial robots. Finally, you'll discover best practices and methods for working with ROS efficiently. By the end of this ROS book, you'll have learned how to create various applications in ROS and build your first ROS robot.
Table of Contents (22 chapters)
1
Section 1 – ROS Programming Essentials
4
Section 2 – ROS Robot Simulation
11
Section 3 – ROS Robot Hardware Prototyping
15
Section 4 – Advanced ROS Programming

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...