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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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Toc

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

3D vision systems for TurtleBot

TurtleBot's capability is greatly enhanced by the addition of a 3D vision sensor. The function of 3D sensors is to map the environment around the robot by discovering nearby objects that are either stationary or moving. The mapping function must be accomplished in real time so that the robot can move around the environment, evaluate its path choices, and avoid obstacles. For autonomous vehicles, such as Waymo's self-driving cars, 3D mapping is accomplished by a high-cost LIDAR system that uses laser radar to illuminate its environment and analyze the reflected light. For our TurtleBot, we will present a number of low cost but effective options. These standard 3D sensors for TurtleBot include Kinect sensors, ASUS Xtion sensors, Carmine sensors, and Intel RealSense sensors. TurtleBot 3 navigates using a 2D low cost laser distance sensor, the Hitachi-LG LDS.

How these 3D vision sensors work

The 3D vision systems that we describe for TurtleBot have a...

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