Preprint Article Version 1 This version is not peer-reviewed

AJA method and AJA Canvas as a Design Tool for Autonomous Operations

Version 1 : Received: 25 October 2018 / Approved: 25 October 2018 / Online: 25 October 2018 (15:33:12 CEST)

How to cite: Vagia, M.; Grøtli, E.I.; Transeth, A.A.; Bjerkeng, M.; Haugli, F.; Johansen, G. AJA method and AJA Canvas as a Design Tool for Autonomous Operations. Preprints 2018, 2018100611 (doi: 10.20944/preprints201810.0611.v1). Vagia, M.; Grøtli, E.I.; Transeth, A.A.; Bjerkeng, M.; Haugli, F.; Johansen, G. AJA method and AJA Canvas as a Design Tool for Autonomous Operations. Preprints 2018, 2018100611 (doi: 10.20944/preprints201810.0611.v1).

Abstract

Several design methods and principles have been presented so far, in order to guide the design of autonomous operations. Putting the required efforts into learning and using the methods for designing autonomous operations is a daunting task. Experiences so far have shown that the use of methods meant to the help the design process are often ignored. One reason could be that the design guidelines are too complex and contain much information often not relevant for the project at hand, and therefore there is no easy way to distinguish what is important from what is not. This is an issue that needs to be solved with our approach. In this article, the Autonomous Job Analysis (AJA) method is presented. The proposed methodology is created in order to guide the design of autonomous operations in maritime systems by breaking them down in to sub-operations in order to reveal challenges, needs and limitations regarding autonomous behavior. The canvas contains the categories of the AJA method on a single page format -the canvas- and each category is supported with questions to be asked during the design procedure, as well as example answers. We will describe the AJA method and the AJA canvas in detail, and present a use case scenario of an autonomous operation in order to show how they can be applied. The particular use-case is the design of an autonomous operation for the detection, inspection and tracking of a waste water plume.

Subject Areas

Autonomy; LOA; design; swarms; underwater vehicles; marine; Autonomous Job Analysis; canvas

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