An analysis of error recovery and sensory integration for dynamic planners

Authors:
Bruce Abramson
Affiliations:
Department of Computer Science, University of Southern California, Los Angeles, CA
Venue:
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
Year:
1991

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Abstract

Strategic planners for robots designed to operate in a dynamic environment must be able to decide (i) how often a sensory request should be granted, and (ii) how to recover from a detected error. This paper derives closed-form formulas for the appropriate frequency of sensor integration as a function of parameters of the equipment, the domain, and the types of errors from which the system wishes to recover.