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 have discussed the interfacing of the motors that we are using in our robot. We have looked at motor and encoder interfacing with a controller board called Tiva C Launchpad. We have discussed the controller code for interfacing motors and encoders. In the future, if the robot requires high accuracy and torque, we have looked at Dynamixel servos that can substitute current DC motors. We have also looked at the robotic sensors that can be used in our robot. The sensors we discussed are ultrasonic distance sensors, IR proximity sensors, and IMUs. These three sensors help in the navigation of the robot. We also discussed the basic code to interface these sensors to Tiva C LaunchPad. We will discuss the vision sensors used in this robot further in the next chapter.