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An open software framework for adaptive, autonomous operation of maritime autonomous systems

Haworth, C., Evans, J., Ji, Ze ORCID: https://orcid.org/0000-0002-8968-9902, Taylor, R. and Martin, D. 2016. An open software framework for adaptive, autonomous operation of maritime autonomous systems. Presented at: OCEANS 2016 MTS/IEEE Monterey, Monterey, CA, 19-23 September 2016. OCEANS 2016 MTS/IEEE Monterey. IEEE, 10.1109/OCEANS.2016.7761329

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Abstract

This paper will present research results from the Adaptive Autonomous Ocean Sampling Networks (AAOSN) project; a £1.5million project funded by NERC, Dstl and the Technology Strategy Board, to develop new technology solutions for coordinating a suite of marine autonomous systems (MAS). The SeeByte consortium, which includes ASV (a leading marine autonomous systems manufacturer) and the Marine Biological Association of the UK, aims to provide an open software tool-set and user interface that will enable improved use of a wide-range of autonomous systems in gathering data from the ocean over extended periods, while constantly adapting to the environment and mission requirements. The software framework has been designed so that 3 rd parties are able to write behaviors. The conclusion from the in-water test missions was that the autonomy behavior, developed by ASV, can help ensure high utilization of the autonomous systems while decreasing direct operator piloting. However, the complete system remains to be tested as part of a longer trial that also includes the controlled release of tagged fish in an appropriate water management zone. It is hoped that this will occur within the next 12 months and will prove a significant step forward in survey methods for EU Habitat Directive management zones.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Publisher: IEEE
ISBN: 978-1-5090-1537-5
Last Modified: 02 Nov 2022 10:05
URI: https://orca.cardiff.ac.uk/id/eprint/97389

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