Integrating Uncertainty into Planners for Multi-Tier Autonomous Agent ArchitecturesReport
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
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Gunderson, J. "Integrating Uncertainty into Planners for Multi-Tier Autonomous Agent Architectures." University of Virginia Dept. of Computer Science Tech Report (2000).
University of Virginia, Department of Computer Science