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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

Interfacing Velodyne sensors with ROS

We have seen how to simulate a Velodyne sensor; now let's have a look at how we can interface a real Velodyne sensor with ROS.

The following commands are to install the velodyne ROS driver package to convert Velodyne data to point cloud data.

ROS Kinetic:

$ sudo apt-get install ros-kinetic-velodyne

ROS Indigo:

$ sudo apt-get install ros-indigo-velodyne

These commands will install the ROS Velodyne driver and point cloud converter packages.

This driver supports models such as the HDL-64E, HDL-32E, and VLP-16.

Here are the commands to start the driver nodelets:

$ roslaunch velodyne_driver nodelet_manager.launch model:=32E

Here, you need to mention the model name along with the launch file to start the driver for a specific model.

The following command will start the converter nodelets to convert Velodyne messages (velodyne_msgs/VelodyneScan) to a point cloud (sensor_msgs/PointCloud2). Here is the command to perform this conversion:

$ roslaunch velodyne_pointcloud...
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