Paper
1 March 1991 Towards integrated autonomous systems
Ramesh C. Jain, Yuval Roth
Author Affiliations +
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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ramesh C. Jain and Yuval Roth "Towards integrated autonomous systems", Proc. SPIE 1468, Applications of Artificial Intelligence IX, (1 March 1991); https://doi.org/10.1117/12.45465
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KEYWORDS
Sensors

Systems modeling

Data modeling

Environmental sensing

Artificial intelligence

Cognitive modeling

Actuators

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