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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

Summary

This chapter provided a quick introduction to ML in robotics. We expect you to have acquired insight into what ML and deep learning are, qualitatively understood how a neural network processes images to recognize objects, and can operationally implement the algorithm in a simulated and/or physical robot.

ML is a very wide field and you should not expect nor really need to get an expert in the field. What you need to assimilate is the knowledge to integrate deep learning capabilities in your robots.

As you have seen in the practical case, we have used a pretrained model that covers common objects. Then, we have simply used this model and have not needed additional training. There are plenty of trained models on the web shared by data science companies and open source developers. You should spend time looking for these models, and only go to train your own models when the...

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