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

Introduction to the Remo robot – a DIY autonomous mobile robot

In Chapter 6, Using the ROS MoveIt! and Navigation Stack, we discussed some mandatory requirements for interfacing a mobile robot with the ROS Navigation Stack. These are recalled at http://wiki.ros.org/navigation/Tutorials/RobotSetup:

  • Odometry source: The robot should publish its odometry/position data with respect to the starting position. The necessary hardware components that provide odometry information are wheel encoders and IMUs, The necessary hardware components that provide odometry information are wheel encoders or inertial measurement units (IMUs).
  • Sensor source: There should be a laser scanner or a vision sensor. The laser scanner data is essential for the map-building process using SLAM.
  • Sensor transform using tf: The robot should publish the transform of the sensors and other robot components using ROS transform.
  • Base controller: A ROS node, which can convert a twist message from...