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ROS Robotics Projects,

You're reading from   ROS Robotics Projects, Build and control robots powered by the Robot Operating System, machine learning, and virtual reality

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Product type Paperback
Published in Dec 2019
Publisher Packt
ISBN-13 9781838649326
Length 456 pages
Edition 2nd Edition
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Author (1):
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Ramkumar Gandhinathan Ramkumar Gandhinathan
Author Profile Icon Ramkumar Gandhinathan
Ramkumar Gandhinathan
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with ROS FREE CHAPTER 2. Introduction to ROS-2 and Its Capabilities 3. Building an Industrial Mobile Manipulator 4. Handling Complex Robot Tasks Using State Machines 5. Building an Industrial Application 6. Multi-Robot Collaboration 7. ROS on Embedded Platforms and Their Control 8. Reinforcement Learning and Robotics 9. Deep Learning Using ROS and TensorFlow 10. Creating a Self-Driving Car Using ROS 11. Teleoperating Robots Using a VR Headset and Leap Motion 12. Face Detection and Tracking Using ROS, OpenCV, and Dynamixel Servos 13. Other Books You May Enjoy

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...

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