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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

Wheel odometry calibration


Calibration is required in odometry to reduce navigational errors. The main parameter needed to calibrate this is the measure of Distance per encoder ticks of the wheels. It is the distance traversed by the robot wheel after during each encoder tick.

The wheel base is the distance between the two differential drive wheels. Distance per encoder ticks is the distance traversed by the wheel on each encoder count. We can calibrate the robot by monitoring encoder counts of each wheel by driving for a fixed distance. The average of these counts is divided by the total distance traveled to get a starting value for the encoder click, which happens per millimeter. The encoder manufacturer may mention an encoder count in one revolution, but in a practical scenario, there will be changes in it.

To calibrate the robot, drive the robot for a fixed distance and note down the encoder counts in the left and right motor. The following equation can give an average count per millimeter...

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