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ROS Robotics Projects,

You're reading from   ROS Robotics Projects, Build and control robots powered by the Robot Operating System, machine learning, and virtual reality

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Product type Paperback
Published in Dec 2019
Publisher Packt
ISBN-13 9781838649326
Length 456 pages
Edition 2nd Edition
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Author (1):
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Ramkumar Gandhinathan Ramkumar Gandhinathan
Author Profile Icon Ramkumar Gandhinathan
Ramkumar Gandhinathan
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with ROS FREE CHAPTER 2. Introduction to ROS-2 and Its Capabilities 3. Building an Industrial Mobile Manipulator 4. Handling Complex Robot Tasks Using State Machines 5. Building an Industrial Application 6. Multi-Robot Collaboration 7. ROS on Embedded Platforms and Their Control 8. Reinforcement Learning and Robotics 9. Deep Learning Using ROS and TensorFlow 10. Creating a Self-Driving Car Using ROS 11. Teleoperating Robots Using a VR Headset and Leap Motion 12. Face Detection and Tracking Using ROS, OpenCV, and Dynamixel Servos 13. Other Books You May Enjoy

Creating face tracker ROS packages

Let's start creating a new workspace for keeping the entire ROS project files for this book. You can name the workspace chapter_12_ws and follow these steps:

  1. Download or clone the source code of this book from GitHub using the following link:
$ git clone https://github.com/PacktPublishing/ROS-Robotics-Projects-SecondEdition.git
  1. Now, you can copy two packages, named face_tracker_pkg and face_tracker_control, from the chapter_12_ws/ folder into the src folder of the chapter_12_ws workspace you created.
  2. Compile the package using catkin_make to build the two project packages.

You have now set up the face tracker packages on your system.

What if you want to create your own package for tracking? Follow these steps:

  1. First, delete the current packages that you copied to the src folder.
Note that you should be in the src folder of chapter_12_ws...
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