Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying ROS Robotics By Example
  • Table Of Contents Toc
ROS Robotics By Example

ROS Robotics By Example

By : Carol Fairchild, Dr. Thomas L. Harman
4.3 (7)
close
close
ROS Robotics By Example

ROS Robotics By Example

4.3 (7)
By: Carol Fairchild, Dr. Thomas L. Harman

Overview of this book

The visionaries who created ROS developed a framework for robotics centered on the commonality of robotic systems and exploited this commonality in ROS to expedite the development of future robotic systems. From the fundamental concepts to advanced practical experience, this book will provide you with an incremental knowledge of the ROS framework, the backbone of the robotics evolution. ROS standardizes many layers of robotics functionality from low-level device drivers to process control to message passing to software package management. This book provides step-by-step examples of mobile, armed, and flying robots, describing the ROS implementation as the basic model for other robots of these types. By controlling these robots, whether in simulation or in reality, you will use ROS to drive, move, and fly robots using ROS control.
Table of Contents (12 chapters)
close
close
11
Index

Enabling a robot to recognize faces


This chapter has presented two abilities to make your robot more interactive. To talk to your robot and have it speak to you makes it become alive with personal characteristics. The more voice commands or phrases it responds to and the more phrases your robot can speak, the more personality it will have.

An additional customization would be to interact with your robot face-to-face. Having your robot turn when spoken to and having him find the face of the speaker will add an air of awareness. The capability to detect a face would be an advantage.

There are two primary methods available in ROS to detect faces from a camera image stream. The first method is using a cascade classifier with Haar or LBP-like features. This relies on a method provided by OpenCV. The second method uses Eigenfaces to recognize faces in an image. Descriptions of these two methods are provided in the next two sections. The best approach to test these methods is to begin by using a...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
ROS Robotics By Example
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon