Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788623315
Length 280 pages
Edition 2nd Edition
Languages
Tools
Concepts
Arrow right icon
Author (1):
Arrow left icon
Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
Arrow right icon
View More author details
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

Preface

Learning Robotics using Python contains nine chapters that explain how to build an autonomous mobile robot from scratch and program it using Python. The robot mentioning in this book is a service robot that can be used to serve food in home, hotels, and restaurant. From the beginning to end, the book discusses step-by-step procedures of building of this robot. The book starts with the basics concepts of robotics and then moves to the 3D modeling and simulation of the robot. After successful simulation of the robot, it discusses the hardware components required to build the robot prototype.

The software part of this robot is mainly implemented using Python programming language and software frameworks, such as Robot Operating System (ROS) and OpenCV. You can see the application of python from the designing of a robot to creating robot user interface. The Gazebo simulator is used to simulate the robot and machine vision libraries, such as OpenCV, OpenNI, and PCL, is for processing the 2D and 3D image data. Each chapter is presented with adequate theory for understanding the application part. The book is reviewed by the experts in this field and it is the result of their handwork and passion in robotics.

lock icon The rest of the chapter is locked
Next Section arrow right
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at ₹800/month. Cancel anytime