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KMPR: An experimental knowledge-based modeling prototype for robots

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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

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