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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
Languages
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Concepts
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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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Toc

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

To get the most out of this book

The book is all about building a robot; to start with this book, you should have some hardware. The robot can be built from scratch or you can buy a differential drive configuration robot with encoder feedback. You should buy a controller board such as Texas instruments LaunchPad for embedded processing and should have at least a laptop/netbook for entire robot processing. In this book, we are using Intel NUC for robot processing, it is very compact in size and delivering high performance. For 3D vision, you should have a 3D sensor such as laser scanner, Kinect, or Orbecc Astra.

In the software section, you should have a good understanding in working with GNU/Linux commands and have good knowledge in Python too. You should install Ubuntu 16.04 LTS to work with the examples. If you have knowledge in ROS, OpenCV, OpenNI, and PCL, this will help. You have to install ROS Kinect/Melodic for these examples.

Download the example code files

You can download the example code files for this book from your account at www.packtpub.com. If you purchased this book elsewhere, you can visit www.packtpub.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

  1. Log in or register at www.packtpub.com.
  2. Select the SUPPORT tab.
  3. Click on Code Downloads & Errata.
  4. Enter the name of the book in the Search box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

  • WinRAR/7-Zip for Windows
  • Zipeg/iZip/UnRarX for Mac
  • 7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Learning-Robotics-using-Python-Second-Edition. We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Download the color images

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: " The first procedure is to create a world file and save it with the .world file extension."

A block of code is set as follows:

<xacro:include filename=”$(find
chefbot_description)/urdf/chefbot_gazebo.urdf.xacro”/>
<xacro:include filename=”$(find
chefbot_description)/urdf/chefbot_properties.urdf.xacro”/>

Any command-line input or output is written as follows:

$ roslaunch chefbot_gazebo chefbot_empty_world.launch
Warnings or important notes appear like this.
Tips and tricks appear like this.
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