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Proceedings Paper

Using qualitative reasoning for robot task planning
Author(s): Phil Schaefer
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Paper Abstract

As robots are called upon to perform increasingly complex tasks, such as intelligent assembly, maintenance, and inspection in space, the problems of efficient task planning, contingency detection, and recovery become increasingly difficult. While work has progressed toward meeting some of these goals for robotic systems another, for the most part unrelated, area of research in artificial intelligence, qualitative reasoning (QR), has simultaneously been addressing similar reasoning tasks for different classes of complex systems. This paper presents some techniques for bridging the gap between the two research areas, QR representations for reasoning about robotic systems, and examples demonstrating some successful results.

Paper Details

Date Published: 1 March 1992
PDF: 10 pages
Proc. SPIE 1612, Cooperative Intelligent Robotics in Space II, (1 March 1992); doi: 10.1117/12.56753
Show Author Affiliations
Phil Schaefer, Martin Marietta Advanced Computing Technology (United States)

Published in SPIE Proceedings Vol. 1612:
Cooperative Intelligent Robotics in Space II
William E. Stoney, Editor(s)

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