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Proceedings Paper

Development of a non-contextual model for determining the autonomy level of intelligent unmanned systems
Author(s): Phillip J. Durst; Wendell Gray; Michael Trentini
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Paper Abstract

A simple, quantitative measure for encapsulating the autonomous capabilities of unmanned systems (UMS) has yet to be established. Current models for measuring a UMS’s autonomy level require extensive, operational level testing, and provide a means for assessing the autonomy level for a specific mission/task and operational environment. A more elegant technique for quantifying autonomy using component level testing of the robot platform alone, outside of mission and environment contexts, is desirable. Using a high level framework for UMS architectures, such a model for determining a level of autonomy has been developed. The model uses a combination of developmental and component level testing for each aspect of the UMS architecture to define a non-contextual autonomous potential (NCAP). The NCAP provides an autonomy level, ranging from fully non- autonomous to fully autonomous, in the form of a single numeric parameter describing the UMS’s performance capabilities when operating at that level of autonomy.

Paper Details

Date Published: 17 May 2013
PDF: 10 pages
Proc. SPIE 8741, Unmanned Systems Technology XV, 874111 (17 May 2013); doi: 10.1117/12.2014352
Show Author Affiliations
Phillip J. Durst, U.S. Army Engineer Research and Development Ctr. (United States)
Wendell Gray, U.S. Army Engineer Research and Development Ctr. (United States)
Michael Trentini, Defence Research and Development Canada, Suffield (Canada)


Published in SPIE Proceedings Vol. 8741:
Unmanned Systems Technology XV
Robert E. Karlsen; Douglas W. Gage; Charles M. Shoemaker; Grant R. Gerhart, Editor(s)

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