Toward A Quantitative Method for Assuring Coordinated Autonomy
Tech. Report, CMU-RI-TR-13-12, Robotics Institute, Carnegie Mellon University, June, 2013
Abstract
One of the biggest obstacles to the procurement and deploy- ment of coordinated autonomous systems is the di culty 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 coordi- nated 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
@techreport{Chaki-2013-7736,author = {Sagar Chaki and John M. Dolan and Joseph Andrew Giampapa},
title = {Toward A Quantitative Method for Assuring Coordinated Autonomy},
year = {2013},
month = {June},
institute = {Carnegie Mellon University},
address = {Pittsburgh, PA},
number = {CMU-RI-TR-13-12},
keywords = {quantitative assurance method, coordinated autonomy, human- agent-robot teams, reliability engineering, probabilistic model checking},
}
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