Book Image

ROS Robotics Projects - Second Edition

By : Ramkumar Gandhinathan
Book Image

ROS Robotics Projects - Second Edition

By: Ramkumar Gandhinathan

Overview of this book

Nowadays, heavy industrial robots placed in workcells are being replaced by new age robots called cobots, which don't need workcells. They are used in manufacturing, retail, banks, energy, and healthcare, among other domains. One of the major reasons for this rapid growth in the robotics market is the introduction of an open source robotics framework called the Robot Operating System (ROS). This book covers projects in the latest ROS distribution, ROS Melodic Morenia with Ubuntu Bionic (18.04). Starting with the fundamentals, this updated edition of ROS Robotics Projects introduces you to ROS-2 and helps you understand how it is different from ROS-1. You'll be able to model and build an industrial mobile manipulator in ROS and simulate it in Gazebo 9. You'll then gain insights into handling complex robot applications using state machines and working with multiple robots at a time. This ROS book also introduces you to new and popular hardware such as Nvidia's Jetson Nano, Asus Tinker Board, and Beaglebone Black, and allows you to explore interfacing with ROS. You'll learn as you build interesting ROS projects such as self-driving cars, making use of deep learning, reinforcement learning, and other key AI concepts. By the end of the book, you'll have gained the confidence to build interesting and intricate projects with ROS.
Table of Contents (14 chapters)

Summary

In this chapter, a simple analogy was taken and split into smaller chunks and we saw how to use ROS to do the same. Initially, a feedback-based messaging system was introduced and showed us how effective it is compared to topics and services. Later, we learned how to create such messaging mechanisms. Then, we learned how the robot can handle complex tasks and perform the same by defining the smaller chunks as states and run these states in sequences, concurrently, iteratively, and in a nested manner. We shall make use of the knowledge we acquired in this chapter and the previous one to learn how to actually implement a robot application.

In the next chapter, we will learn how to build an industrial application using state machines and the robot we created in the previous chapter.