Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learn Robotics Programming

You're reading from   Learn Robotics Programming Build and control autonomous robots using Raspberry Pi 3 and Python

Arrow left icon
Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789340747
Length 472 pages
Edition 1st Edition
Languages
Concepts
Arrow right icon
Author (1):
Arrow left icon
Danny Staple Danny Staple
Author Profile Icon Danny Staple
Danny Staple
Arrow right icon
View More author details
Toc

Table of Contents (21) Chapters Close

Preface 1. Introduction to Robotics 2. Exploring Robot Building Blocks - Code and Electronics FREE CHAPTER 3. Introducing the Raspberry Pi - Starting with Raspbian 4. Preparing a Raspberry Pi for a Robot - Headless by Default 5. Backing Up the Code with Git and SD Card Copies 6. Building Robot Basics - Wheels, Power, and Wiring 7. Drive and Turn - Moving Motors with Python 8. Programming Line-Following Sensors Using Python 9. Programming RGB Strips in Python 10. Using Python to Control Servo Motors 11. Programming Distance Sensors with Python 12. Programming Encoders with Python 13. Robot Vision - Using a Pi Camera and OpenCV 14. Voice Communication with a Robot Using Mycroft 15. Programming a Gamepad on Raspberry Pi with Python 16. Taking Your Robot Programming Skills Further 17. Planning Your Next Robot Project - Putting It All Together 18. Assessments 19. Other Books You May Enjoy Appendix

Chapter 13, Robot Vision - Using a Pi Camera and OpenCV

  • We used the HSV color system when tracking colored objects. Why would the RGB color system not work for this?
    • When tracking color, the ranges used to filter are looking for a range of hues; for example, greens or reds. Tracking this in relation to the green and blue elements on RGB colors is tricky and perhaps not really viable.
  • PID controllers (or PI control) were used for both behaviors. On the color track behavior we added an anti-windup measure, what would happen without this limit?
    • The integral sum would grow too high, which can cause the robot to overshoot if the response takes time.
  • When performing computer vision, we use a low resolution for the images. What are some of the reasons for choosing a low resolution?
    • Less data to move around the system keeps the web app responsive
    • Faster processing times for the...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime