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Proceedings Paper

Towards integrated autonomous systems
Author(s): Ramesh C. Jain; Yuval Roth
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Paper Abstract

An autonomous intelligent agent working in a real, unstructured, dynamic environment must have very close interactions among its perceptual, cognitive, and motor components. We believe that by placing the environment model at the heart of these systems this interaction can be facilitated significantly. In our approach, the environment model is responsible for interaction among different components, providing temporal coherence, combining information from multiple sensors, and providing the purposive behavior to the system. The information about the environment is acquired by using multiple disparate sensors, from multiple viewpoints, and at multiple time instants. We believe that the combination of information from disparate sensors should be viewed as a problem of information assimilation, rather than sensor integration. The focus in information assimilation is on the physical world being modeled, sensory information is just a means to the end. Sensor integration treats the goal implicitly, misplacing the focus on the processing of sensed information. Existing approaches towards autonomous systems tend to follow exclusively reactive or exclusively deliberated operations. We present an approach that provides a balance between reaction and deliberation.

Paper Details

Date Published: 1 March 1991
PDF: 14 pages
Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); doi: 10.1117/12.45465
Show Author Affiliations
Ramesh C. Jain, Univ. of Michigan (United States)
Yuval Roth, Univ. of Michigan (United States)

Published in SPIE Proceedings Vol. 1468:
Applications of Artificial Intelligence IX
Mohan M. Trivedi, Editor(s)

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