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Integrating Uncertainty Into Planners for Multi-Tier Autonomous Agent Architectures

Gunderson, J
Format
Report
Author
Gunderson, J
Abstract
This paper addresses the issue of modifying planners to produce better plans in the face of uncertainty. The traditional planning paradigm has serious flaws in the face of a dynamic and uncertain world. As a result, in- tegrated end-to-end mobile robotic systems must over- come numerous obstacles to integrate planners into a multi-tiered architecture. This paper explores the types of problems caused by uncertainty, and proposes several specific changes to be incorporated into plan- ning systems. A proposal of future work is detailed
Language
English
Date Received
2012-10-29
Published
University of Virginia, Department of Computer Science, 2000
Published Date
2000
Collection
Libra Open Repository
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