Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
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
Learning Robotics using Python

You're reading from   Learning Robotics using Python Bring robotics projects to life with Python! Discover how to harness everything from Blender to ROS and OpenCV with one of our most popular robotics books.

Arrow left icon
Product type Paperback
Published in May 2015
Publisher Packt
ISBN-13 9781783287536
Length 330 pages
Edition 1st Edition
Languages
Tools
Concepts
Arrow right icon
Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to Robotics FREE CHAPTER 2. Mechanical Design of a Service Robot 3. Working with Robot Simulation Using ROS and Gazebo 4. Designing ChefBot Hardware 5. Working with Robotic Actuators and Wheel Encoders 6. Working with Robotic Sensors 7. Programming Vision Sensors Using Python and ROS 8. Working with Speech Recognition and Synthesis Using Python and ROS 9. Applying Artificial Intelligence to ChefBot Using Python 10. Integration of ChefBot Hardware and Interfacing it into ROS, Using Python 11. Designing a GUI for a Robot Using Qt and Python 12. The Calibration and Testing of ChefBot Index

List of robotic vision sensors and image processing libraries


A 2D vision sensor or an ordinary camera delivers 2D image frames of the surroundings, whereas a 3D vision sensor delivers 2D image frames and an additional parameter called depth of each image point. We can find the x, y, and z distance of each point from the 3D sensor with respect to the sensor axis.

There are quite a few vision sensors available on the market. Some of the 2D and 3D vision sensors that can be used in our robot are mentioned in this chapter.

The following figure shows the latest 2D vision sensor called Pixy/CMU cam 5 (http://www.cmucam.org/), which is able to detect color objects with high speed and accuracy and can be interfaced to an Arduino board. Pixy can be used for fast object detection and the user can teach which object it needs to track. Pixy module has a CMOS sensor and NXP (http://www.nxp.com/) processor for image processing:

Pixy/CMU Cam 5

The commonly available 2D vision sensors are webcams. They contain...

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 $19.99/month. Cancel anytime
Banner background image