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Sensor planning with Bayesian decision theory

โœ Scribed by Steen Kristensen

Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
955 KB
Volume
19
Category
Article
ISSN
0921-8890

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โœฆ Synopsis

In this paper ongoing work on an approach for planning sensing actions and controlling intelligent, purposive robotic systems is presented. The methtxl uses Bayesian decision analysis (BDA) for deciding what sensing actions should be performed. This offers a probabilistic fi'amework that provides a more dynamic and modular behaviour than traditional rule based planners. Experiments show that the Bayesian sensor planning strategy is capable of controlling an autonomous mobile robot operating in partly known environments.

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