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

Summary


In this chapter, we mainly discussed the various machine learning techniques and libraries that can be interfaced with ROS. We started with the basics of machine learning and deep learning. Then we started working with TensorFlow, which is an open source Python library mainly for performing deep learning. We discussed basic code using TensorFlow and later combined those capabilities with ROS for an image recognition application. After discussing Tensorflow and deep learning, we discussed another Python library called scikit-learn used for machine learning applications. We saw what SVM is and saw how to implement it using scikit-learn. Later, we implemented a sample application using ROS and scikit-learn for classifying sensor data.

In the next chapter, we will discuss ROS on Android and MATLAB.