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)

Introduction to state machines

State machines are graphical representations of a problem, decomposed into chunks of smaller operations or processes. These smaller operations then communicate with each other either in series or in parallel and in a certain order to accomplish the problem at hand. State machines are fundamental concepts in computer science and are used to solve complex systems by spending more time solving the problem visually than coding.

Let's see how our waiter robot analogy is represented via a state machine:

State machine representation of our analogy

The circled components are robot states. These states are the ones in which the robot is performing certain actions to accomplish that specific state. The lines that connect these circles are called edges. They represent the transition between states. The values or descriptions on these lines are the outcomes...