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Learning Robotics using Python

You're reading from   Learning Robotics using Python Design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788623315
Length 280 pages
Edition 2nd Edition
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Author (1):
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Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with Robot Operating System 2. Understanding the Basics of Differential Robots FREE CHAPTER 3. Modeling the Differential Drive Robot 4. Simulating a Differential Drive Robot Using ROS 5. Designing ChefBot Hardware and Circuits 6. Interfacing Actuators and Sensors to the Robot Controller 7. Interfacing Vision Sensors with ROS 8. Building ChefBot Hardware and the Integration of Software 9. Designing a GUI for a Robot Using Qt and Python 10. Assessments 11. Other Books You May Enjoy

Interfacing Vision Sensors with ROS

In the previous chapter, we looked at actuators and how to interface the robot's sensors using the Tiva-C LaunchPad board. In this chapter, we will mainly look at vision sensors and the interface that they use with our robot.

The robot we are designing will have a 3D vision sensor, and we will be able to interface it with vision libraries such as Open Source Computer Vision (OpenCV), Open Natural Interaction (OpenNI), and Point Cloud Library (PCL). The main application of the 3D vision sensor in our robot is autonomous navigation.

We will also look at how to interface the vision sensors with ROS and process the images that it senses using vision libraries such as OpenCV. In the last section of this chapter, we will look at the mapping and localization algorithm that we will use in our robot, called SLAM (simultaneous localization and mapping...

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