Book Image

Learning Robotics using Python - Second Edition

By : Lentin Joseph
Book Image

Learning Robotics using Python - Second Edition

By: Lentin Joseph

Overview of this book

Robot Operating System (ROS) is one of the most popular robotics software frameworks in research and industry. It has various features for implementing different capabilities in a robot without implementing them from scratch. This book starts by showing you the fundamentals of ROS so you understand the basics of differential robots. Then, you'll learn about robot modeling and how to design and simulate it using ROS. Moving on, we'll design robot hardware and interfacing actuators. Then, you'll learn to configure and program depth sensors and LIDARs using ROS. Finally, you'll create a GUI for your robot using the Qt framework. By the end of this tutorial, you'll have a clear idea of how to integrate and assemble everything into a robot and how to bundle the software package.
Table of Contents (12 chapters)

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...