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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

Chapter 7. Programming Vision Sensors Using Python and ROS

In the previous chapter, we have seen some of the robotic sensors used in our robot and its interfacing with the Launchpad board. In this chapter, we will mainly discuss vision sensors and its interface used in our robot.

The robot we are designing will have a 3D sensor and we can interface it with vision libraries such as OpenCV, OpenNI, and Point Cloud Library (PCL). Some of the applications of the 3D vision sensor in our robot are autonomous navigation, obstacle avoidance, object detection, people tracking, and so on.

We will also discuss the interfacing of vision sensors and image processing libraries with ROS. In the last section of the chapter, we will see a navigational algorithm for our robot called SLAM (Simultaneous Localization and Mapping) and its implementation using a 3D sensor, ROS, and image processing libraries.

In the first section, we will see some 2D and 3D vision sensors available on the market that...

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