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ROS Robotics By Example, Second Edition

You're reading from   ROS Robotics By Example, Second Edition Learning to control wheeled, limbed, and flying robots using ROS Kinetic Kame

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781788479592
Length 484 pages
Edition 2nd Edition
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Concepts
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Authors (3):
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Dr. Thomas L. Harman Dr. Thomas L. Harman
Author Profile Icon Dr. Thomas L. Harman
Dr. Thomas L. Harman
Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
Carol Fairchild Carol Fairchild
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Carol Fairchild
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with ROS 2. Creating Your First Two-Wheeled ROS Robot (in Simulation) FREE CHAPTER 3. Driving Around with TurtleBot 4. Navigating the World with TurtleBot 5. Creating Your First Robot Arm (in Simulation) 6. Wobbling Robot Arms Using Joint Control 7. Making a Robot Fly 8. Controlling Your Robots with External Devices 9. Flying a Mission with Crazyflie 10. Controlling Baxter with MATLAB© Index

TurtleBot's odometry


In this section, we explore the TurtleBot's odometry. The general definition of odometry is the use of data from motion sensors, such as wheel encoders, to estimate change in Turtlebot's position over time. Odometry is used by the TurtleBot to estimate its position and orientation relative to its starting location given in terms of an x and y position and an orientation around the z (upward) axis as the TurtleBot moves.

The odometry data to determine position and orientation can become very inaccurate as the TurtleBot moves a long distance. The inaccuracy can be due to errors in the robot's parameters such as incorrect wheel diameters used in calculation of distance or due to the uneven driving surfaces causing the wheel encoders to output inaccurate data. A comprehensive discussion of odometry is found in the paper Measurement and Correction of Systematic Odometry Errors in Mobile Robots by Johann Borenstein and Liqiang Feng. The paper can be found at the following site...

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