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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 (13) Chapters Close

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 2. Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos

One of the capabilities of most service and social robots is face detection and tracking. These robots can identify faces and can move their heads according to the human face that moves around it. There are numerous implementations of face detection and tracking systems on the Web. Most trackers have a pan-and-tilt mechanism, and a camera is mounted on the top of the servos. In this chapter, we will see a simple tracker that only has a pan mechanism. We are going to use a USB webcam mounted on an AX-12 Dynamixel servo. The controlling of Dynamixel servo and image processing are done in ROS.

The following topics will be covered in this chapter:

  • An overview of the project
  • Hardware and software prerequisites
  • Configuring Dynamixel AX-12 servos
  • The connection diagram of the project
  • Interfacing Dynamixel with ROS
  • Creating ROS packages for a face tracker and controller
  • The ROS-OpenCV interface
  • Implementing a face tracker...
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