By Topic

KMPR: An experimental knowledge-based modeling prototype for robots

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

1 Author(s)
Mina, I. ; UMECORP, Lakrspur, CA.

This paper describes a prototype of modeling and reasoning as a knowledge-based system using real time control and planning techniques as well as system dynamics. The aim was to produce an industrial robot system for real-time cell applications. The system derives cell resource information from a data management system and cell control and planning knowledge fro a knowledge-base in the form of abstraction rules. The description of the AI second generation architecture, the concept used, the modeling methods and reasoning techniques based on real-time approaches in cell applications are represented.

Published in:

Robotics and Automation. Proceedings. 1987 IEEE International Conference on  (Volume:4 )

Date of Conference:

Mar 1987