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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

Chapter 7, Interfacing Vision Sensors with ROS

  1. Most of the 3D depth sensors have additional vision sensors to detect the depth. It may be using IR projection method or using stereo vision.
  2. The message passing interface, tools to visualize and debug robots, off-the-shelf robot algorithms.
  3. OpenCV is mainly having computer vision algorithm, OpenNI is having algorithm implementation for implementing NI applications, and PCL is having algorithm to process point cloud data.
  1. It stands for Simultaneous Localization and Mapping. It is an algorithm commonly used to map the robot environment and localize on it at the same time.
  2. It is an algorithm to map the robot environment in 3D.

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