Toward a Quantitative Method for Assuring Coordinated Autonomy

Sagar Chaki, John M. Dolan, and Joseph Andrew Giampapa
Proceedings of the AAMAS 2013 Workshop on Autonomous Robots and Multirobot Systems (ARMS), May, 2013.


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Abstract
One of the biggest obstacles to the procurement and deploy- ment 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 coordi- nated mission. Two instances of the models are implemented as discrete time Markov chains (DTMC). Results from in-progress validation exper- iments with robots are reported, as well.

Notes

Text Reference
Sagar Chaki, John M. Dolan, and Joseph Andrew Giampapa, "Toward a Quantitative Method for Assuring Coordinated Autonomy," Proceedings of the AAMAS 2013 Workshop on Autonomous Robots and Multirobot Systems (ARMS), May, 2013.

BibTeX Reference
@inproceedings{Dolan_2013_7608,
   author = "Sagar Chaki and John M Dolan and Joseph Andrew Giampapa",
   title = "Toward a Quantitative Method for Assuring Coordinated Autonomy",
   booktitle = "Proceedings of the AAMAS 2013 Workshop on Autonomous Robots and Multirobot Systems (ARMS)",
   month = "May",
   year = "2013",
}