A Non-Contextual Method for Determining the Degree of Autonomy to Develop in a Mobile Robot

Gyagenda, Nasser; Gamal, Omar; Roth, Hubert

doi:10.1016/j.ifacol.2017.12.057

Cited by 2 publications

(2 citation statements)

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“…A framework which can adequately measure autonomy must satisfy certain requirements. Firstly, the autonomy score must be reproducible which means measurements must be quantitative, not qualitative [12]. Additionally, the autonomy score must have absolute meaning, not relative meaning [8].…”

Section: Introductionmentioning

confidence: 99%

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Methods for Combining and Representing Non-Contextual Autonomy Scores for Unmanned Aerial Systems

Brendan¹,

Donald²,

Dumas³

et al. 2021

Preprint

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Measuring an overall autonomy score for a robotic system requires the combination of a set of relevant aspects and features of the system that might be measured in different units, qualitative, and/or discordant. In this paper, we build upon an existing non-contextual autonomy framework that measures and combines the Autonomy Level and the Component Performance of a system as overall autonomy score. We examine several methods of combining features, showing how some methods find different rankings of the same data, and we employ the weighted product method to resolve this issue. Furthermore, we introduce the non-contextual autonomy coordinate and represent the overall autonomy of a system with an autonomy distance. We apply our method to a set of seven Unmanned Aerial Systems (UAS) and obtain their absolute autonomy score as well as their relative score with respect to the best system.

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Section: Introductionmentioning

confidence: 99%

“…Scales which have relative meanings can only be used for comparing the autonomy of systems, and do not convey any information about the absolute autonomy of the system. Finally, the autonomy score must be a meaningful combination of the relevant factors and properties of the system [12].…”

Section: Introductionmentioning

confidence: 99%