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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

Simulating a Differential Drive Robot Using ROS

In the previous chapter, we looked at how to model Chefbot. In this chapter, we are going to learn how to simulate the robot using the Gazebo simulator in ROS. We will learn how to create a simulation model of Chefbot, and we will create a hotel-like environment in Gazebo to test our application, which is programmed to automatically deliver food to customers. We will look at a detailed explanation of each of the steps to test out our application. The following are the important topics that we are going to cover in this chapter:

  • Getting started with the Gazebo simulator
  • Working with the TurtleBot 2 simulation
  • Creating a simulation of Chefbot
  • URDF tags and plugins for simulations
  • Getting started with simultaneous localization and mapping
  • Implementing SLAM in a Gazebo environment
  • Creating a map using SLAM
  • Getting started with adaptive...
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