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

Real-time trajectory/profile learning for robots in human-robot interactions

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

2 Author(s)
Luh, J.Y.S. ; Clemson Univ., SC, USA ; Shuyi Hu

In the process of human-robot interaction, effective representation and real-time learning of manipulator's trajectory/profile in response to human's motion are presented. Method of obtaining approximate solutions during the learning stage are introduced to circumvent the noise effect caused by numerical inaccuracy and computational errors. Perturbed solutions are derived as an alternative approach to overcome the noise effect. Simulation examples are given to illustrate every stage of the presentation

Published in:

Robotics and Automation, 1997. Proceedings., 1997 IEEE International Conference on  (Volume:1 )

Date of Conference:

20-25 Apr 1997

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.