Book Image

ROS Robotics Projects

Book Image

ROS Robotics Projects

Overview of this book

Robot Operating System is one of the most widely used software frameworks for robotic research and for companies to model, simulate, and prototype robots. Applying your knowledge of ROS to actual robotics is much more difficult than people realize, but this title will give you what you need to create your own robotics in no time! This book is packed with over 14 ROS robotics projects that can be prototyped without requiring a lot of hardware. The book starts with an introduction of ROS and its installation procedure. After discussing the basics, you’ll be taken through great projects, such as building a self-driving car, an autonomous mobile robot, and image recognition using deep learning and ROS. You can find ROS robotics applications for beginner, intermediate, and expert levels inside! This book will be the perfect companion for a robotics enthusiast who really wants to do something big in the field.
Table of Contents (20 chapters)
ROS Robotics Projects
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

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