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Needs Exploration for Long-Term Autonomous Marine Systems: Working Report

dc.contributor.authorCollette, Matthew
dc.contributor.authorBielski, Rachel
dc.contributor.authorRohrer, Peter
dc.contributor.authorMagistro, Adam
dc.contributor.authorSulkowski, Brendan
dc.contributor.authorVan Houten, Joseph
dc.date.accessioned2022-08-04T01:30:26Z
dc.date.available2022-08-04T01:30:26Z
dc.date.issued2022-08-03
dc.identifier.urihttps://hdl.handle.net/2027.42/173163en
dc.descriptionPartial grant progress reporten_US
dc.description.abstractWeeks-to-months long crewless missions in the marine domain present unique challenges for autonomous systems. At these mission lengths, the platform must take on self-assessment and mission planning tasks as well as short-term autonomy tasks such as navigation. The results of a four-prong research program to explore these challenges are reported here. Existing vessels were reviewed and analyzed, and a new rating system was constructed. Interviews with human crew members were carried out to identify assessment and planning approaches. A simplified simulation and an STPA-inspired analysis were used to identify areas where research would be beneficial. From these investigations, it is clear that existing planning systems rely heavily on humans to integrate different sources of information. Humans make decisions today based on shared experience and implicit criteria. Automating this process is a significant challenge. Three test cases are proposed to explore the identified research needs, one on fuel management, one on design and operational support of machinery systems, and one on adapting and updating risk criteria in service.en_US
dc.description.sponsorshipThe authors wish to acknowledge the funding from the U.S. Office of Naval Research under grant N00014-20-1-2044, Dr. Paul Hess, ONR Code 331, which supported this work.en_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesMSDL Report 2021-001en_US
dc.subjectmarine, autonomy, STPA, long-term planningen_US
dc.titleNeeds Exploration for Long-Term Autonomous Marine Systems: Working Reporten_US
dc.typeTechnical Reporten_US
dc.subject.hlbsecondlevelNaval Architecture and Marine Engineering
dc.subject.hlbtoplevelEngineering
dc.contributor.affiliationumDepartment of Naval Architecture and Marine Engineeringen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/173163/1/LTA_Summer_Report_2021_001.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/4894
dc.identifier.orcid0000-0002-8380-675Xen_US
dc.description.filedescriptionDescription of LTA_Summer_Report_2021_001.pdf : Report
dc.description.depositorSELFen_US
dc.identifier.name-orcidCollette, Matthew; 0000-0002-8380-675Xen_US
dc.working.doi10.7302/4894en_US
dc.owningcollnameNaval Architecture & Marine Engineering (NA&ME)


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