Cart (Loading....) | Create Account
Close category search window
 

Real-time monitoring and diagnosing of robotic assembly with self-organizing neural maps

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Syed, A. ; Flexible Manuf. Centre, McMaster Univ., Hamilton, Ont., Canada ; ElMaraghy, H.A. ; Chagneux, N.

An application of self-organizing neural-network maps is presented for real-time execution monitoring and diagnosing of robotic assembly. The self-organizing maps not only have the ability to spontaneously react to changes in dynamic assembly processes, but also to offer simplicity and feasibility for organizing diverse assembly interactions between tools, parts, robot, and sensory data. A number of different types of multidimensional maps are described for various combinations of assembly interactions

Published in:

Real-Time Systems Symposium, 1992

Date of Conference:

2-4 Dec 1992

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.