Paper
2 May 2007 Characterizing unmanned system autonomy: contextual autonomous capability and level of autonomy analyses
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Abstract
The Autonomy Levels for Unmanned Systems (ALFUS) workshop series was convened to address the autonomous nature of unmanned, robotic systems, or unmanned systems (UMS). Practitioners have different perceptions or different expectations for these systems. The requirements on human interactions, the types of tasks, the teaming of the UMSs and the humans, and the operating environment are just a few of the issues that need to be clarified. Also needed is a set of definitions and a model with which the autonomous capability of the UMS can be described. This paper reports the current results and status of the ALFUS framework, which practitioners can apply to analyze the autonomy requirements and to evaluate the performance of their robotic programs.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hui-Min Huang, Kerry Pavek, Mark Ragon, Jeffry Jones, Elena Messina, and James Albus "Characterizing unmanned system autonomy: contextual autonomous capability and level of autonomy analyses", Proc. SPIE 6561, Unmanned Systems Technology IX, 65611N (2 May 2007); https://doi.org/10.1117/12.719894
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Cited by 12 scholarly publications.
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KEYWORDS
Unmanned systems

Environmental sensing

Fluorescence correlation spectroscopy

Systems modeling

Robotics

Telecommunications

Performance modeling

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