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ROS Robotics Projects

You're reading from   ROS Robotics Projects Make your robots see, sense, and interact with cool and engaging projects with Robotic Operating System

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781783554713
Length 452 pages
Edition 1st 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 (13) Chapters Close

Preface 1. Getting Started with ROS Robotics Application Development 2. Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos FREE CHAPTER 3. Building a Siri-Like Chatbot in ROS 4. Controlling Embedded Boards Using ROS 5. Teleoperate a Robot Using Hand Gestures 6. Object Detection and Recognition 7. Deep Learning Using ROS and TensorFlow 8. ROS on MATLAB and Android 9. Building an Autonomous Mobile Robot 10. Creating a Self-Driving Car Using ROS 11. Teleoperating a Robot Using a VR Headset and Leap Motion 12. Controlling Your Robots over the Web

Simulating the Velodyne LIDAR

The Velodyne LIDAR is becoming an integral part of a self-driving car. Because of high demand, there are enough software modules available for working with this sensor. We are going to simulate two popular models of Velodyne, called HDL-32E and VLP-16. Let's see how to do it in ROS and Gazebo.

In ROS-Kinetic and Indigo, we can install from a binary package or compile from source code. Here is the command to install Velodyne packages on ROS Kinetic:

$ sudo apt-get install ros-kinetic-velodyne-simulator

In ROS Indigo, just replace the ROS distribution name:

$ sudo apt-get install ros-indigo-velodyne-simulator

To install it from source code, just clone the source package to the ROS workspace using the following command:

$ git clone https://bitbucket.org/DataspeedInc/velodyne_simulator.git

After cloning the package, you can build it using the catkin_make command. Here is the ROS wiki page of the Velodyne simulator:

http://wiki.ros.org/velodyne_simulator

So you...

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