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Learning Robotics using Python

You're reading from   Learning Robotics using Python Design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788623315
Length 280 pages
Edition 2nd 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 (12) Chapters Close

Preface 1. Getting Started with Robot Operating System 2. Understanding the Basics of Differential Robots FREE CHAPTER 3. Modeling the Differential Drive Robot 4. Simulating a Differential Drive Robot Using ROS 5. Designing ChefBot Hardware and Circuits 6. Interfacing Actuators and Sensors to the Robot Controller 7. Interfacing Vision Sensors with ROS 8. Building ChefBot Hardware and the Integration of Software 9. Designing a GUI for a Robot Using Qt and Python 10. Assessments 11. Other Books You May Enjoy

Configuring ChefBot PC and setting ChefBot ROS packages

In ChefBot, we are using Intel's NUC PC to handle the robot sensor data and the processing of the data. After procuring the NUC PC, we have to install Ubuntu 16.04 LTS. After the installation of Ubuntu, install the complete ROS and its packages that we mentioned in the previous chapters. We can configure this PC separately, and after the configuration of all the settings, we can put this into the robot. The following are the procedures to install the ChefBot packages on the NUC PC.

Clone ChefBot's software packages from GitHub using the following command:

    $ git clone https://github.com/qboticslabs/learning_robotics_2nd_ed  

We can clone this code in our laptop and copy the ChefBot folder to Intel's NUC PC. The ChefBot folder consists of the ROS packages of the ChefBot hardware. In the NUC PC, create a ROS...

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