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ROS Robotics By Example

You're reading from   ROS Robotics By Example Bring life to your robot using ROS robotic applications

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Product type Paperback
Published in Jun 2016
Publisher Packt
ISBN-13 9781782175193
Length 428 pages
Edition 1st Edition
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with ROS FREE CHAPTER 2. Creating Your First Two-Wheeled ROS Robot (in Simulation) 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. Extending Your ROS Abilities 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 Google'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, and Carmine sensors.

How these 3D vision sensors work

The 3D vision systems that we describe for TurtleBot have a common infrared technology to sense depth. This technology was developed by PrimeSense, an Israeli 3D sensing company and...

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