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Learning Robotics using Python

You're reading from  Learning Robotics using Python

Product type Book
Published in May 2015
Publisher Packt
ISBN-13 9781783287536
Pages 330 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (19) Chapters

Learning Robotics Using Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Introduction to Robotics Mechanical Design of a Service Robot Working with Robot Simulation Using ROS and Gazebo Designing ChefBot Hardware Working with Robotic Actuators and Wheel Encoders Working with Robotic Sensors Programming Vision Sensors Using Python and ROS Working with Speech Recognition and Synthesis Using Python and ROS Applying Artificial Intelligence to ChefBot Using Python Integration of ChefBot Hardware and Interfacing it into ROS, Using Python Designing a GUI for a Robot Using Qt and Python The Calibration and Testing of ChefBot Index

The Calibration of Xbox Kinect using ROS


Kinect calibration is required to improve the accuracy of the Kinect data. In this robot, Kinect is used instead of a laser scanner. We can generate data equivalent to that provided by laser scanner by converting Point Cloud data, using a depth image to laser scanner converter package in ROS. This converted data may not be as precise as an actual laser scanner, so in effect, the error from the converted laser scanner can affect robot mapping, navigation, and localization. To reduce the errors to some extent, we can do a calibration prior to our application. Kinect can even work on factory settings without being calibrated, each device has its own camera parameters and these can change from device to device. Some of the camera parameters are focal length, format size principle point, and lens distortion. When we perform camera calibration, we are able to adjust these values.

One of the calibrations used in Kinect is intrinsic calibration. Some of the...

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