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ROS Robotics Projects

ROS Robotics Projects - Second Edition

By : Ramkumar Gandhinathan, Lentin Joseph
2.3 (3)
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ROS Robotics Projects

ROS Robotics Projects

2.3 (3)
By: Ramkumar Gandhinathan, Lentin Joseph

Overview of this book

Nowadays, heavy industrial robots placed in workcells are being replaced by new age robots called cobots, which don't need workcells. They are used in manufacturing, retail, banks, energy, and healthcare, among other domains. One of the major reasons for this rapid growth in the robotics market is the introduction of an open source robotics framework called the Robot Operating System (ROS). This book covers projects in the latest ROS distribution, ROS Melodic Morenia with Ubuntu Bionic (18.04). Starting with the fundamentals, this updated edition of ROS Robotics Projects introduces you to ROS-2 and helps you understand how it is different from ROS-1. You'll be able to model and build an industrial mobile manipulator in ROS and simulate it in Gazebo 9. You'll then gain insights into handling complex robot applications using state machines and working with multiple robots at a time. This ROS book also introduces you to new and popular hardware such as Nvidia's Jetson Nano, Asus Tinker Board, and Beaglebone Black, and allows you to explore interfacing with ROS. You'll learn as you build interesting ROS projects such as self-driving cars, making use of deep learning, reinforcement learning, and other key AI concepts. By the end of the book, you'll have gained the confidence to build interesting and intricate projects with ROS.
Table of Contents (14 chapters)
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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 track head movements. 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. Controlling the Dynamixel servo and image processing are done in ROS.

In this chapter, we will begin by first configuring Dynamixel AX-12 servos and then interfacing Dynamixel with ROS. We will then create face-tracker ROS packages. By the end of this chapter, we will have learned how to work with the face-tracking ROS package.

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