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ROS Robotics Projects

You're reading from   ROS Robotics Projects Make your robots see, sense, and interact with cool and engaging projects with Robotic Operating System

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781783554713
Length 452 pages
Edition 1st Edition
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Author (1):
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Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
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Table of Contents (20) Chapters Close

ROS Robotics Projects
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Getting Started with ROS Robotics Application Development FREE CHAPTER 2. Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos 3. Building a Siri-Like Chatbot in ROS 4. Controlling Embedded Boards Using ROS 5. Teleoperate a Robot Using Hand Gestures 6. Object Detection and Recognition 7. Deep Learning Using ROS and TensorFlow 8. ROS on MATLAB and Android 9. Building an Autonomous Mobile Robot 10. Creating a Self-Driving Car Using ROS 11. Teleoperating a Robot Using a VR Headset and Leap Motion 12. Controlling Your Robots over the Web

Chapter 7. Deep Learning Using ROS and TensorFlow

You may have come across deep learning many times on the Web. Most of us are not fully aware of this technology, and many people are trying to learn it too. So in this chapter, we are going to see the importance of deep learning in robotics and how we can implement robotics applications using deep learning and ROS.

Here are the main topics we are going to discuss in this chapter:

  • Introducing deep learning and its applications

  • Deep learning for robotics

  • Software frameworks and programming languages for deep learning

  • Getting started with Google TensorFlow

  • Installing TensorFlow for Python

  • Embedding TensorFlow APIs in ROS

  • Image recognition using ROS and TensorFlow

  • Introduction to scikit-learn

  • Implementing SVM using scikit-learn

  • Embedding SVM on a ROS node

  • Implementing an SVM-ROS application

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