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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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Who this book is for

If you are an engineer who wishes to build AI-powered robots powered using ROS, then this book is for you. Technicians and hobbyists who wish to develop their own ROS robotics projects will also find this book to be a useful resource.

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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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