Development of a non-contextual model for determining the autonomy level of intelligent unmanned systems

Phillip J. Durst; Wendell Gray; Michael Trentini

doi:10.1117/12.2014352

17 May 2013 Development of a non-contextual model for determining the autonomy level of intelligent unmanned systems

Phillip J. Durst, Wendell Gray, Michael Trentini

Proceedings Volume 8741, Unmanned Systems Technology XV; 874111 (2013) https://doi.org/10.1117/12.2014352
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

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.

Citation Download Citation

Phillip J. Durst, Wendell Gray, and Michael Trentini "Development of a non-contextual model for determining the autonomy level of intelligent unmanned systems", Proc. SPIE 8741, Unmanned Systems Technology XV, 874111 (17 May 2013); https://doi.org/10.1117/12.2014352

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