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)

Summary

In this chapter, we discussed the modeling of the Chefbot robot. The modeling involves 2D and 3D designing of the robot hardware and ends up in as URDF model, which can be used in ROS. The chapter started with the various requirements to be satisfied by the robot and we have seen how to calculate various design parameters. After calculating the design parameters, we started to design the 2D sketches of the robot hardware. The designing was done using LibreCAD, a free CAD tool. After that, we worked on the 3D model in Blender using Python scripting. We have created the mesh model from Blender and created the URDF model of the robot. After the creation of the URDF model, we looked at how to visualize the robot in Rviz.

In the next chapter, we will discuss how to simulate this robot and perform mapping and localization.