Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • ROS Robotics Projects,
  • Toc
  • feedback
ROS Robotics Projects,

ROS Robotics Projects,

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

ROS Robotics Projects,

2.3 (3)
By: Ramkumar Gandhinathan

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)
close

Overview of the project

The project aims to build a simple face tracker that can track a face only along the horizontal axis of the camera. The face tracker hardware consists of a webcam, a Dynamixel servo called AX-12, and a supporting bracket to mount the camera on the servo. The servo tracker will follow a face until it aligns with the center of the image from the webcam. Once it reaches the center, it will stop and wait for face movement. The face detection is done using an OpenCV and ROS interface, and the controlling of the servo is done using a Dynamixel motor driver in ROS.

We are going to create two ROS packages for this complete tracking system; one will be for face detection and finding the centroid of the face, and the other will be for sending commands to the servo to track the face using the centroid values.

Okay! Let's start discussing the hardware and software...

bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete