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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

Reinforcement learning in ROS

So far, we have seen how to implement reinforcement learning algorithms such as Q-learning and SARSA in OpenAI Gym. Now, we shall look into the following examples and implementations of reinforcement learning in ROS:

  • gym-gazebo by Erlerobot
  • gym-gazebo2 by Acutronic robotics

Let's look at them in detail.

gym-gazebo

gym-gazebo is an OpenAI Gym extension for Gazebo. This extension makes use of an ROS-Gazebo combination to train robots with reinforcement learning algorithms. In the previous chapters, we saw how ROS and Gazebo can be used to solve robotics applications or proof of concepts in simulations that, to an extent, emulate reality. This extension helps us to use this combination in...

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