Book Image

Mastering ROS for Robotics Programming - Second Edition

By : Jonathan Cacace, Lentin Joseph
Book Image

Mastering ROS for Robotics Programming - Second Edition

By: Jonathan Cacace, Lentin Joseph

Overview of this book

In this day and age, robotics has been gaining a lot of traction in various industries where consistency and perfection matter. Automation is achieved via robotic applications and various platforms that support robotics. The Robot Operating System (ROS) is a modular software platform to develop generic robotic applications. This book focuses on the most stable release of ROS (Kinetic Kame), discusses advanced concepts, and effectively teaches you programming using ROS. We begin with aninformative overview of the ROS framework, which will give you a clear idea of how ROS works. During the course of this book, you’ll learn to build models of complex robots, and simulate and interface the robot using the ROS MoveIt! motion planning library and ROS navigation stacks. Learn to leverage several ROS packages to embrace your robot models. After covering robot manipulation and navigation, you’ll get to grips with the interfacing I/O boards, sensors, and actuators of ROS. Vision sensors are a key component of robots, and an entire chapter is dedicated to the vision sensor and image elaboration, its interface in ROS and programming. You’ll also understand the hardware interface and simulation of complex robots to ROS and ROS Industrial. At the end of this book, you’ll discover the best practices to follow when programming using ROS.
Table of Contents (22 chapters)
Title Page
Copyright and Credits
www.PacktPub.com
Contributors
Preface
Index

Summary


In this chapter, we learned how to use MATLAB to develop simple or complex robotic applications and how to connect MATLAB with the other ROS nodes running on the same computer or in other nodes of the ROS network. We discussed how to handle topics in MATLAB and how to develop a simple obstacle avoidance system for a differential driver robot, reusing functions already available in the MATLAB toolboxes. Then, we introduced Simulink, a graphically-based program editor that allow developers to implement, simulate, and validate their dynamic system models. We learned how to get and set data into the ROS network and how do develop a simple control system that controls the orientation of the Turtlebot robot. In the next chapter, we will present ROS-Industrial, a ROS package to interface industrial robot manipulators to ROS, and how to control it using the power of ROS, such as MoveIt!, Gazebo, RViz, and so on.