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Proceedings Paper

Design Of An Intelligent Robotic System Organizer Via Expert System Tecniques
Author(s): Peter H. Yuan; Kimon P. Valavanis
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Paper Abstract

Intelligent Robotic Systems are a special type of Intelligent Machines. When modeled based on Vle theory of Intelligent Controls, they are composed of three interactive levels, namely: organization, coordination, and execution, ordered according, to the ,Principle of Increasing, Intelligence with Decreasing Precl.sion. Expert System techniques, are used to design an Intelligent Robotic System Organizer with a dynamic Knowledge Base and an interactive Inference Engine. Task plans are formulated using, either or both of a Probabilistic Approach and Forward Chapling Methodology, depending on pertinent information associated with a spec;fic requested job. The Intelligent Robotic System, Organizer is implemented and tested on a prototype system operating in an uncertain environment. An evaluation of-the performance, of the prototype system is conducted based upon the probability of generating a successful task sequence versus the number of trials taken by the organizer.

Paper Details

Date Published: 9 February 1989
PDF: 15 pages
Proc. SPIE 1008, Expert Robots for Industrial Use, (9 February 1989); doi: 10.1117/12.949133
Show Author Affiliations
Peter H. Yuan, Northeastern University (United States)
Kimon P. Valavanis, Northeastern University (United States)

Published in SPIE Proceedings Vol. 1008:
Expert Robots for Industrial Use
David P. Casasent; Ernest L. Hall; Kenneth J. Stout, Editor(s)

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