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

Phillip J. Durst, W J Gray, Michael Trentini

发表年份
2013
引用次数
4

摘要

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.

关键词

AutonomyComputer scienceArchitectureTask (project management)Component (thermodynamics)RobotHuman–computer interactionSystems engineeringArtificial intelligenceEngineering

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