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Hands-On ROS for Robotics Programming

You're reading from  Hands-On ROS for Robotics Programming

Product type Book
Published in Feb 2020
Publisher Packt
ISBN-13 9781838551308
Pages 432 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Bernardo Ronquillo Japón Bernardo Ronquillo Japón
Profile icon Bernardo Ronquillo Japón

Table of Contents (19) Chapters

Preface Section 1: Physical Robot Assembly and Testing
Assembling the Robot Unit Testing of GoPiGo3 Getting Started with ROS Section 2: Robot Simulation with Gazebo
Creating the Virtual Two-Wheeled ROS Robot Simulating Robot Behavior with Gazebo Section 3: Autonomous Navigation Using SLAM
Programming in ROS - Commands and Tools Robot Control and Simulation Virtual SLAM and Navigation Using Gazebo SLAM for Robot Navigation Section 4: Adaptive Robot Behavior Using Machine Learning
Applying Machine Learning in Robotics Machine Learning with OpenAI Gym Achieve a Goal through Reinforcement Learning Assessment Other Books You May Enjoy

Summary

This chapter provided you with the theoretical background that you need to apply RL to real robots. By dissecting the simple example of the cart pole, you should now understand what happens under the hood in classical RL tasks.

Additionally, by doing this first with the native OpenAI Gym framework in Python, and afterward, inside ROS, you should have acquired the basic skills to perform an RL process with a real robot, our GoPiGo3. This is what you will learn to do in the final chapter of the book.

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