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Learning Robotics using Python

You're reading from   Learning Robotics using Python Design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788623315
Length 280 pages
Edition 2nd Edition
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Author (1):
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Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with Robot Operating System FREE CHAPTER 2. Understanding the Basics of Differential Robots 3. Modeling the Differential Drive Robot 4. Simulating a Differential Drive Robot Using ROS 5. Designing ChefBot Hardware and Circuits 6. Interfacing Actuators and Sensors to the Robot Controller 7. Interfacing Vision Sensors with ROS 8. Building ChefBot Hardware and the Integration of Software 9. Designing a GUI for a Robot Using Qt and Python 10. Assessments 11. Other Books You May Enjoy

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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