Optimal Motion Planning for Searching for Uncertain Targets

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Author
Royset, Johannes O.
Walton, Claire L.
Gong, Qi
Kaminer, Isaac
Date
2014-08Metadata
Show full item recordAbstract
This paper explores the potential for applying newly available numerical methods in
optimal control to solve motion planning problems created by the search for targets with motion
uncertainty characterized by constant but unknown parameters. These recent developments
enable the e cient computation of numerical solutions for search problems with multiple
searchers, nonlinear dynamics, and a broad class of objectives. We demonstrate the e cacy
of these methods through implementing a multi-agent optimal search problem. We then derive
an expansion of the optimal search modeling framework which facilitates the consideration of
multi-agent searching problems with more general strategic objectives and utilize this expanded
framework to implement an example combat defense scenario.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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