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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 FREE CHAPTER 2. Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos 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 a self-driving car with sensors in Gazebo

In this section, we are going to discuss an open-source self-driving car project done in Gazebo. In this project, we will learn how to implement a robot car model in Gazebo and how to integrate all sensors into it. Also, we will move the robot around the environment using a keyboard, and finally, we will build a map of the environment using SLAM.

Installing prerequisites

This project is fully compatible with ROS Indigo, but some packages are yet to be released in ROS Kinetic. Let's take a look at the prerequisites for setting up packages in ROS Indigo.

The commands given here will install the ROS Gazebo controller manager:

$ sudo apt-get install ros-indigo-controller-manager
$ sudo apt-get install ros-indigo-ros-control ros-indigo-ros-controllers
$ sudo apt-get install ros-indigo-gazebo-ros-control

After installing this, we can install the Velodyne simulator packages in Indigo using the following command:

$ sudo apt-get install ros-indigo...
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