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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

In this chapter, we learned how to simulate our own robot, called Chefbot. We looked at the design of the Chefbot in the previous chapter. We started the chapter by learning about the Gazebo simulator and its different features and capabilities. After that, we looked at how the ROS framework and Gazebo simulator are used to perform a robot simulation. We installed the TurtleBot 2 package and tested the Turtlebot 2 simulation in Gazebo. After that, we created the Chefbot simulation and used Gmapping, AMCL, and autonomous navigation in a hotel environment. We learned that the accuracy of the simulation depends on the map, and that the robot will work better in a simulation if the generated map is perfect.

In the next chapter, we will learn how to design the robot's hardware and electronic circuit.

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