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Learning Robotics using Python

Learning Robotics using Python

By : Lentin Joseph
3.1 (8)
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Learning Robotics using Python

Learning Robotics using Python

3.1 (8)
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)
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Mathematical modeling of the robot

An important part of a mobile robot is its steering system. This will help the robot to navigate its environment. One of the simplest and most cost-effective steering systems is the differential drive system. A differential drive robot consists of two main wheels mounted on a common axis that are controlled by separate motors. A differential drive system/steering system is a nonholonomic system, which means that it has constraints for the changing the robot's pose.

A car is an example of a nonholonomic system, as it cannot change its position without changing its pose. Let's look at how this type of robot works and how we can model the robot in terms of its mathematics.

Introduction to the differential drive system and robot kinematics

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