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Robot Operating System Cookbook

You're reading from Robot Operating System Cookbook Over 70 recipes to help you master advanced ROS concepts

Product type Paperback

Published in Jun 2018

Publisher Packt

ISBN-13 9781783987443

Length 484 pages

Edition 1st Edition

Languages

C++

Tools

ROS

Concepts

Robotics

Author (1):

Bipin

View More author details

Table of Contents (17) Chapters

Title Page

Copyright and Credits

www.PacktPub.com

Contributors

Preface

1. Getting Started with ROS FREE CHAPTER

2. ROS Architecture and Concepts I

3. ROS Architecture and Concepts – II

4. ROS Visualization and Debugging Tools

5. Accessing Sensors and Actuators through ROS

6. ROS Modeling and Simulation

7. Mobile Robot in ROS

8. The Robotic Arm in ROS

9. Micro Aerial Vehicles in ROS

10. ROS-Industrial (ROS-I)

1. Other Books You May Enjoy

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Index

Interfacing the mobile robot to the navigation stack

In the previous section, we learned how to configure our robot so that it can be used with the navigation stack, and in this section, we will learn how to configure the navigation stack and its integration with the robot. All the work done in the previous section has been a prerequisite to this. This is the time the robot comes alive.

Getting ready

In this section, we will discuss and learn the following:

Understand how the navigation stack works
Configure all the necessary parameters of the navigation stack using configuration files
Develop launch files to start the navigation stack with our robot

Before we begin, download the chapter7_tutorial source code from GitHub (https://github.com/kbipin/Robot-Operating-System-Cookbook/tree/master/chapter7_tutorials).

Alternatively, we can also create them in our workspace.

How to do it…

Begin by creating a new file in chapter7_tutorials/launch with the name chapter7_configuration_gazebo.launch, and add...

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Authors (1)

Bipin

Bipin

Kumar Bipin has 15+ years of research and development experience with such world-famous consumer electronics companies as STMicroelectronics and Motorola. He has participated in the research fellowship program at SERC, IISc Bengaluru, earned MS in Robotics and Computer Vision from IIIT, Hyderabad. have been fosters confident in delivering system-level solutions for consumer electronics products, which includes system software, perception planning and control for autonomous vehicle. Currently, he is leading the Autonomous Vehicle Product- Autonomai at Tata Elxsi.

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