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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

Running an environment

The goal of the rest of the chapter is to apply what you have learned about RL in general problems to a specific domain such as robotics. To easily transfer that knowledge, we will reproduce the simple cart pole example, modeling it as a robot in Gazebo. The code samples are in the cart-pole_ROS folder of the code repository of this chapter. Move to that location on your laptop:

$ cd ~/catkin_ws/src/Chapter12_OpenAI_Gym/cart-pole_ROS

Inside, you will find two ROS packages, each one giving its name to the folder:

  • cartpole_description contains the Gazebo simulation framework for the cart pole using ROS. The structure of this package is very similar to the one described in Chapter 5, Simulating Robot Behavior with Gazebo. Hence, it is not necessary to dive into its details.
  • cartpole_dqn contains the OpenAI Gym environment for the preceding Gazebo simulation...
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