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Mission based optimum system selector for bio-inspired unmanned untethered underwater vehicles

Mission based optimum system selector for bio-inspired unmanned untethered underwater vehicles
Mission based optimum system selector for bio-inspired unmanned untethered underwater vehicles

This paper is a part of the Nature in Engineering for Monitoring the Oceans (NEMO) project, investigating bio-inspiration to improve the performance of Unmanned Untethered Underwater Vehicles (UUUVs). Since biological systems (i.e. marine animals) are natives to the oceans, successfully surviving through time, they have been the source of this approach.

AUV, Bio-inspiration, Mission profile, Optimisation
1522-3167
IEEE
Haroutunian, Maryam
f519154e-664f-40a4-9833-38c5f17f31d5
Murphy, Alan J.
8e021dad-0c60-446b-a14e-cddd09d44626
Haroutunian, Maryam
f519154e-664f-40a4-9833-38c5f17f31d5
Murphy, Alan J.
8e021dad-0c60-446b-a14e-cddd09d44626

Haroutunian, Maryam and Murphy, Alan J. (2012) Mission based optimum system selector for bio-inspired unmanned untethered underwater vehicles. In 2012 IEEE/OES Autonomous Underwater Vehicles, AUV 2012. IEEE. 9 pp . (doi:10.1109/AUV.2012.6380724).

Record type: Conference or Workshop Item (Paper)

Abstract

This paper is a part of the Nature in Engineering for Monitoring the Oceans (NEMO) project, investigating bio-inspiration to improve the performance of Unmanned Untethered Underwater Vehicles (UUUVs). Since biological systems (i.e. marine animals) are natives to the oceans, successfully surviving through time, they have been the source of this approach.

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More information

e-pub ahead of print date: 13 December 2012
Venue - Dates: 2012 IEEE/OES Autonomous Underwater Vehicles, AUV 2012, , Southampton, United Kingdom, 2012-09-24 - 2012-09-27
Keywords: AUV, Bio-inspiration, Mission profile, Optimisation

Identifiers

Local EPrints ID: 483749
URI: http://eprints.soton.ac.uk/id/eprint/483749
DOI: doi:10.1109/AUV.2012.6380724
ISSN: 1522-3167
PURE UUID: 59254ace-3722-4327-a4e1-11884c70e0a7

Catalogue record

Date deposited: 03 Nov 2023 18:10
Last modified: 17 Mar 2024 05:37

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Contributors

Author: Maryam Haroutunian
Author: Alan J. Murphy

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