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 dealt with object detection and recognition. Both these things are extensively used in robotic applications. The chapter started with a popular ROS package for 2D object detection. The package is called find_2d_object, and we covered object detection using a webcam and Kinect. After going through a demo using this package, we discussed 3D object recognition using a ROS package called object_recognition, which is mainly for 3D object recognition. We saw methods to build and capture the object model and its training procedure. After training, we discussed the steps to start detecting the object using a depth camera. Finally, we visualized the object recognition in Rviz.

In the next chapter, we will deal with interfacing ROS and Google TensorFlow.