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Hands-On ROS for Robotics Programming

You're reading from Hands-On ROS for Robotics Programming Program highly autonomous and AI-capable mobile robots powered by ROS

Product type Paperback

Published in Feb 2020

Publisher Packt

ISBN-13 9781838551308

Length 432 pages

Edition 1st Edition

Tools

ROS

Concepts

Robotics

Author (1):

Bernardo Ronquillo Jap√≥n

View More author details

Table of Contents (19) Chapters

Preface

1. Section 1: Physical Robot Assembly and Testing

2. Assembling the Robot FREE CHAPTER

3. Unit Testing of GoPiGo3

4. Getting Started with ROS

5. Section 2: Robot Simulation with Gazebo

6. Creating the Virtual Two-Wheeled ROS Robot

7. Simulating Robot Behavior with Gazebo

8. Section 3: Autonomous Navigation Using SLAM

9. Programming in ROS - Commands and Tools

10. Robot Control and Simulation

11. Virtual SLAM and Navigation Using Gazebo

12. SLAM for Robot Navigation

13. Section 4: Adaptive Robot Behavior Using Machine Learning

14. Applying Machine Learning in Robotics

15. Machine Learning with OpenAI Gym

16. Achieve a Goal through Reinforcement Learning

17. Assessment

18. Other Books You May Enjoy

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Summary

In this chapter, we have familiarized ourselves with the GoPiGo3 Python environment by running simple programs that allow us to test robot sensors and actuators. We have checked them one by one in what is formally known as unit testing. This has served two goals: getting started with Python programming and functionally validating your robot hardware.

Next, we will leave the robot for one chapter, and we will discuss the core software concepts of ROS that we will later use to program GoPiGo3.

The rest of the chapter is locked

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Authors (1)

Bernardo Ronquillo Japón

Bernardo Ronquillo Japón

Bernardo Ronquillo Japn is an Internet of Things (IoT) and robotics expert who has worked for top technology companies since 1995, including Instituto de Astrofsica de Canarias, Gran Telescopio Canarias, Altran, and Alestis Aerospace. Using his skills and experience, he founded The Robot Academy, where he develops open source hardware and software solutions for engineers and makers: Social Robot IO (2015), for the stimulation of children with autistic spectrum disorder; Robot JUS (2016), which helps engineers get deeper technical insights with the Robot Operating System (ROS) when using low-complexity hardware; and IIoT All-in-One (2018) as an industrial IoT training package for assisting companies in their digital transformation process.

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