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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

Product type Paperback

Published in Jun 2018

Publisher Packt

ISBN-13 9781788623315

Length 280 pages

Edition 2nd Edition

Languages

Python

Tools

OpenCV

Concepts

Design

Author (1):

Lentin Joseph

View More author details

Table of Contents (12) Chapters

Preface

1. Getting Started with Robot Operating System FREE CHAPTER

2. Understanding the 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

11. Other Books You May Enjoy

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Summary

In this chapter, we looked at the various vision sensors that can be used in Chefbot. We used Kinect and Astra in our robot and learned about OpenCV, OpenNI, PCL, and their application. We also discussed the role of vision sensors in robot navigation, the popular SLAM technique, and its application using ROS. In the next chapter, we will see the complete interfacing of the robot and learn how to perform autonomous navigation with our Chefbot.

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Authors (1)

Lentin Joseph

Lentin Joseph

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.

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