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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

ML comes to robotics

ML has its roots in statistical science. Remember when you have a cloud of points on an x-y frame and try to find the straight line that best fits all of them at the same time? This is what we call a linear regression and can be solved with a simple analytical formula. Regression is the first algorithm that you typically study when getting started with ML.

To acquire perspective, be aware that, before 1980, artificial intelligence and ML were part of the same corpora of knowledge. Then, artificial intelligence researchers focused their efforts on using logical, knowledge-based approaches, and ML kept the algorithmic approach, regression being the most basic and having neural network-based algorithms as its main bundle. Hence, this fact favored that ML evolved as a separated discipline.

Following path of the traditional research in neural networks in the &apos...

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