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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

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Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781838551308
Length 432 pages
Edition 1st Edition
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Author (1):
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Bernardo Ronquillo Japón Bernardo Ronquillo Japón
Author Profile Icon Bernardo Ronquillo Japón
Bernardo Ronquillo Japón
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Table of Contents (19) Chapters Close

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

Technical requirements

The code files for this chapter can be found at https://github.com/PacktPublishing/Hands-On-ROS-for-Robotics-Programming/tree/master/Chapter5_Gazebo_basics.

By completing the previous chapter, you should have cloned this book's code repository into the home folder of your laptop. In case you didn't, we'll go over this now. From a Terminal on your laptop, clone the repository into your home folder, like so:

$ cd ~
$ git clone https://github.com/PacktPublishing/Hands-On-ROS-for-Robotics-Programming

Next, we copy the code for this chapter to the ROS workspace. This way, you will have a cleaner ROS environment:

$ cp -R ~/Hands-On-ROS-for-Robotics-Programming/Chapter5_Gazebo_basics ~/catkin_ws/src

This chapter contains a new ROS package called gazebo_basics, so rebuild the workspace so that it is known to your ROS environment:

$ cd ~/catkin_ws
...
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