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

A neural approach to robotic haptic recognition of 3-D objects based on a Kohonen self-organizing feature map

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

4 Author(s)
Caselli, S. ; Dipartimento di Ingegneria dell''Inf., Parma Univ., Italy ; Faldella, E. ; Fringuelli, B. ; Rosi, L.

The paper describes a versatile robotic haptic recognition system of 3D objects. The design methodology features a learning phase of the geometric properties of the objects, followed by the operative phase of actual recognition in which the robot explores the objects with its end-effector, correlating the sensorial data with the preceding perceptive experiences. These phases are mapped on the training and classification activities typical of the unsupervised Kohonen neural networks. The system consists of a dexterous 3-fingered, 10-DOF robotic hand. In a primary trial test, the developed prototype system has already shown a satisfactory operative level in recognizing objects

Published in:

Industrial Electronics, Control and Instrumentation, 1994. IECON '94., 20th International Conference on  (Volume:2 )

Date of Conference:

5-9 Sep 1994

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.