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

Using aerial robots

At present, flying vehicles are very popular. Even in their primary configuration where they are controlled by a radio controller, some flying vehicles can be considered as robots that respond to their environment in order to stay in the air. Such vehicles can use external sensors to estimate their state and pose, thus allowing them to fly autonomously. Of course, providing a flying robot with autonomy is more complicated than doing the same for a ground robot because of several reasons, listed here:

  • Stabilization: A flying robot must be able to adjust its pose to hold its position and orientation relative to the environment. Inertial sensors are not enough to accomplish this task, since they are not able to estimate position divergence caused by external disturbances (like wind or ground airflow), or the possible errors generated due to an inertial measurement unit sensor.
  • Low computation resources: Compared to a ground robot, flight platforms have...