Toward a Quantitative Method for Assuring Coordinated Autonomy
Workshop Paper, AAMAS '13 Workshop on Autonomous Robots and Multirobot Systems (ARMS '13), May, 2013
Abstract
One of the biggest obstacles to the procurement and deployment of coordinated autonomous systems is the difficulty of assuring them, that is, to set and manage their performance expectations. This article introduces a reliability engineering assurance approach based on probabilistic model checking. It also introduces two models to guide and extend the reliability engineering approach: (1) a characterization of the range of autonomous coordination phenomena and (2) phases of a coordinated mission. Two instances of the models are implemented as discrete time Markov chains (DTMC). Results from in-progress validation experiments with robots are reported, as well.
BibTeX
@workshop{Chaki-2013-7718,author = {Sagar Chaki and John M. Dolan and Joseph Andrew Giampapa},
title = {Toward a Quantitative Method for Assuring Coordinated Autonomy},
booktitle = {Proceedings of AAMAS '13 Workshop on Autonomous Robots and Multirobot Systems (ARMS '13)},
year = {2013},
month = {May},
}
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