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)

Designing ChefBot Hardware and Circuits

In this chapter, we will discuss the design and workings of ChefBot hardware and look at a selection of its hardware components. In the previous chapter, we designed and simulated the basic robot framework in a hotel environment using Gazebo and ROS, and tested a few variables, such as the robot body mass, motor torque, wheel diameter, and more. We also tested the autonomous navigation capability of ChefBot in a hotel environment.

To achieve this using hardware, we need to select all the hardware components and figure out how to connect all these components. We know that the main functionality of this robot is navigation: this robot will have the ability to navigate from a start position to an end position without any collision with its surroundings. We will discuss the different sensors and hardware components required to achieve this goal...