Distributed chance-constrained task allocation for autonomous multi-agent teams

This research presents a distributed chanceconstrained task allocation framework that can be used to plan for multi-agent networked teams operating in stochastic and dynamic environments. The algorithm employs an approximation strategy to convert centralized problem formulations into distributable s...

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Bibliographic Details
Main Authors: Ponda, Sameera S. (Contributor), Johnson, Luke B. (Contributor), How, Jonathan P. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor)
Format: Article
Language:English
Published: American Automatic Control Council, 2013-10-24T18:37:11Z.
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