Compensation for robot arm flexibility using machine intelligence

Peyman Kabiri; Nasser Sherkat; Chi-Hsien Victor Shih

doi:10.1117/12.326918

9 October 1998 Compensation for robot arm flexibility using machine intelligence

Peyman Kabiri, Nasser Sherkat, Chi-Hsien Victor Shih

Proceedings Volume 3517, Intelligent Systems in Design and Manufacturing; (1998) https://doi.org/10.1117/12.326918
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

Abstract

This paper reports a new approach to error compensation for inaccuracies in position control for the end-effector of a Robot Arm. The goal is to overcome the problem of inaccuracy, due to the low precision in manufacturing of Robot Arms and the flexibility of their structure, by means of machine intelligence. Utilizing a mesh sensory system, a Real Time Monitoring System is designed. The position of the end-effector is monitored in real time and the positioning data for the end-effector is collected. A direction independent filtering system is designed to eliminate the noise from the collected data. After extracting the error map from the collected data, a novel Proportional Keen Approximation Method is implemented to generalize the error map. One of the main features of this method is the elimination of the training stage as in the Artificial Neural Networks. Using the knowledge obtained from the maps, the system compensates for the errors.

Citation Download Citation

Peyman Kabiri, Nasser Sherkat, and Chi-Hsien Victor Shih "Compensation for robot arm flexibility using machine intelligence", Proc. SPIE 3517, Intelligent Systems in Design and Manufacturing, (9 October 1998); https://doi.org/10.1117/12.326918

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available