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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 2. Understanding the Basics of Differential Robots FREE CHAPTER 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

Summary

This chapter was about the fundamental concepts of differential drive robots, and looked at how you can derive the kinematics equations of such robots. At the start of the chapter, we saw the basics of differential drive robots, and then we discussed the forward kinematics equations that are used in these robots. These equations were explained using diagrams. After looking at forward kinematics equations, we looked at the inverse kinematics equations for differential drive robots. We also looked at the basics of inverse kinematics equations.

In the next chapter, we will see how we can create a simulation of the autonomous mobile robot using ROS and Gazebo.

You have been reading a chapter from
Learning Robotics using Python - Second Edition
Published in: Jun 2018
Publisher: Packt
ISBN-13: 9781788623315
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