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dc.contributor.authorThieme, Christoph Alexander
dc.contributor.authorRamos, Marilia Abilio
dc.contributor.authorYang, Xue
dc.date.accessioned2020-11-04T08:57:43Z
dc.date.available2020-11-04T08:57:43Z
dc.date.created2020-11-03T13:39:36Z
dc.date.issued2020
dc.identifier.isbn978-981-14-8593-0
dc.identifier.urihttps://hdl.handle.net/11250/2686294
dc.description.abstractAutonomous systems may operate with different Levels of Autonomy (LoA), from remote control to fully autonomous. The latter is not expected in the near or intermediate future for most systems. Thus, operation relies on the interaction between human and system. The Human-System Interaction in Autonomy (H-SIA) method aims to analyse autonomous systems including their interaction with operators in a monitoring or controlling role. The Concurrent Task analysis (CoTA) is a success-oriented method introduced in H-SIA. It models the interactions between tasks performed by different agents (e.g., humans and autonomous system). The CoTA allows for analysing the system as whole and to model an operation with dynamic LoA. These aspects make the CoTA a suitable tool to analyse Autonomous Remotely Operated Vehicle (ROV) operation. ROVs have been recently gaining more autonomous capabilities, allowing for part of their operation to be autonomous with human monitoring. This article applies the CoTA method to autonomous ROV operations for subsea installations inspection. It further discusses how the CoTA can be used to develop operating procedures. These procedures are expected to improve current operations, making them safer with respect to human and environmental safety.en_US
dc.language.isoengen_US
dc.publisherResearch Publishing Servicesen_US
dc.relation.ispartofe-proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (ESREL2020 PSAM15)
dc.relation.urihttps://www.rpsonline.com.sg/proceedings/esrel2020/pdf/4173.pdf
dc.titleHuman-System Concurrent Task Analysis: An Application to Autonomous Remotely Operated Vehicle Operationsen_US
dc.typeChapteren_US
dc.description.versionpublishedVersionen_US
dc.identifier.cristin1844528
dc.relation.projectNorges forskningsråd: 274441en_US
dc.description.localcodeThis chapter will not be available due to copyright restrictions (c) 2020 by Research Publishing Servicesen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.qualitycode1


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