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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.

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Product type Paperback
Published in May 2015
Publisher Packt
ISBN-13 9781783287536
Length 330 pages
Edition 1st Edition
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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

Introduction to OpenCV, OpenNI, and PCL


Let's discuss about the software frameworks and libraries that we are using in our robots. First, we can discuss OpenCV. This is one of the libraries that we are going to use in this robot for object detection and other image processing functionalities.

What is OpenCV?

OpenCV is an open source BSD-licensed computer vision based library that includes hundreds of computer vision algorithms. The library, mainly aimed for real-time computer vision, was developed by Intel Russia research, and is now actively supported by Itseez (http://itseez.com/).

OpenCV logo

OpenCV is written mainly in C and C++ and its primary interface is in C++. It also has good interfaces in Python, Java, Matlab/Octave and wrappers in other languages such as C# and Ruby.

In the new version of OpenCV, there is support for CUDA and OpenCL to get GPU acceleration (http://www.nvidia.com/object/cuda_home_new.html).

OpenCV will run on most of the OS platforms (such as Windows, Linux, Mac OS...

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