Learning Robotics using Python: Design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python, 2nd Edition

Learning Robotics using Python: Design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python, 2nd Edition

by Lentin Joseph
Learning Robotics using Python: Design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python, 2nd Edition

Learning Robotics using Python: Design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python, 2nd Edition

by Lentin Joseph

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Overview

Design, simulate, and program interactive robots




Key Features



  • Design, simulate, build, and program an interactive autonomous mobile robot


  • Leverage the power of ROS, Gazebo, and Python to enhance your robotic skills


  • A hands-on guide to creating an autonomous mobile robot with the help of ROS and Python





Book Description



Robot Operating System (ROS) is one of the most popular robotics software frameworks in research and industry. It has various features for implement different capabilities in a robot without implementing them from scratch.







This book starts by showing you the fundamentals of ROS so you understand the basics of differential robots. Then, you'll learn about robot modeling and how to design and simulate it using ROS. Moving on, we'll design robot hardware and interfacing actuators. Then, you'll learn to configure and program depth sensors and LIDARs using ROS. Finally, you'll create a GUI for your robot using the Qt framework.







By the end of this tutorial, you'll have a clear idea of how to integrate and assemble everything into a robot and how to bundle the software package.




What you will learn



  • Design a differential robot from scratch


  • Model a differential robot using ROS and URDF


  • Simulate a differential robot using ROS and Gazebo


  • Design robot hardware electronics


  • Interface robot actuators with embedded boards


  • Explore the interfacing of different 3D depth cameras in ROS


  • Implement autonomous navigation in ChefBot


  • Create a GUI for robot control



Who this book is for



This book is for those who are conducting research in mobile robotics and autonomous navigation. As well as the robotics research domain, this book is also for the robot hobbyist community. You're expected to have a basic understanding of Linux commands and Python.


Product Details

ISBN-13: 9781788629973
Publisher: Packt Publishing
Publication date: 06/27/2018
Sold by: Barnes & Noble
Format: eBook
Pages: 280
File size: 19 MB
Note: This product may take a few minutes to download.

About the Author

Lentin Joseph is an author and robotics entrepreneur from India. He runs a robotics software company called Qbotics Labs in India. He has 7 years of experience in the robotics domain primarily in ROS, OpenCV, and PCL. He has authored four books in ROS, namely, Learning Robotics using Python, Mastering ROS for Robotics Programming, ROS Robotics Projects, and Robot Operating System for Absolute Beginners. He is currently pursuing his master's in Robotics from India and is also doing research at Robotics Institute, CMU, USA.
Lentin Joseph is an author and robotics entrepreneur from India. He runs a robotics software company called Qbotics Labs in India. He has 7 years of experience in the robotics domain primarily in ROS, OpenCV, and PCL. He has authored four books in ROS, namely, Learning Robotics using Python, Mastering ROS for Robotics Programming, ROS Robotics Projects, and Robot Operating System for Absolute Beginners. He is currently pursuing his master's in Robotics from India and is also doing research at Robotics Institute, CMU, USA.

Table of Contents

Table of Contents
  1. Getting started with ROS
  2. Understanding 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
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