Adaptive autonomous underwater vehicles: an assessment of their effectiveness for oceanographic applications
Adaptive autonomous underwater vehicles: an assessment of their effectiveness for oceanographic applications
Autonomous underwater vehicles (AUVs) are practical tools for ocean observation. However, they tend to operate in an automatic rather than autonomous way. This reflects the attitudes and behaviors that individuals and organizations share when adopting new technology in this industry. This paper clarifies the factors that are preventing one important aspect of autonomy—adaptive mission planning (AMP)—from transitioning from research to commercial and bespoke AUVs. A total of 25 experts comprising AUV developers and users, with combined 237 years of experience, provided their views in a structured survey covering several different hypotheses. There is insufficient evidence to determine clearly a single reason for failure to adopt AMPs, but a primary cause is the paucity of demonstration trials. This view is irrespective of participants' years of experience. Managers, engineers, and technologists agree on the two most likely causes for failure to adopt AMPs. However, the differences between the assessments provided by researchers and these three professional groups are statistically significant, with p value <0.005. For researchers, complexity is one of the two most important inhibitory factors. We present recommendations to support the integration of AMP into AUVs substantiated by recent examples where government, industry, and researchers have developed and tested AMPs.
autonomous underwater vehicles, adaptive planning, autonomy, gliders, mission planning, risk, precision, positioning
98-111
Brito, Mario Paulo
82e798e7-e032-4841-992e-81c6f13a9e6c
Lewis, Ronald S.
56f63c76-23be-42d9-9389-bb1e030cdca1
Bose, Neil
b65899e4-4f8f-41b7-8fa6-e324601db25c
Griffiths, Gwyn
d5757042-d05e-486c-ba73-a77cd3ed7f56
February 2019
Brito, Mario Paulo
82e798e7-e032-4841-992e-81c6f13a9e6c
Lewis, Ronald S.
56f63c76-23be-42d9-9389-bb1e030cdca1
Bose, Neil
b65899e4-4f8f-41b7-8fa6-e324601db25c
Griffiths, Gwyn
d5757042-d05e-486c-ba73-a77cd3ed7f56
Brito, Mario Paulo, Lewis, Ronald S., Bose, Neil and Griffiths, Gwyn
(2019)
Adaptive autonomous underwater vehicles: an assessment of their effectiveness for oceanographic applications.
IEEE Transactions on Engineering Management, 66 (1), .
(doi:10.1109/TEM.2018.2805159).
Abstract
Autonomous underwater vehicles (AUVs) are practical tools for ocean observation. However, they tend to operate in an automatic rather than autonomous way. This reflects the attitudes and behaviors that individuals and organizations share when adopting new technology in this industry. This paper clarifies the factors that are preventing one important aspect of autonomy—adaptive mission planning (AMP)—from transitioning from research to commercial and bespoke AUVs. A total of 25 experts comprising AUV developers and users, with combined 237 years of experience, provided their views in a structured survey covering several different hypotheses. There is insufficient evidence to determine clearly a single reason for failure to adopt AMPs, but a primary cause is the paucity of demonstration trials. This view is irrespective of participants' years of experience. Managers, engineers, and technologists agree on the two most likely causes for failure to adopt AMPs. However, the differences between the assessments provided by researchers and these three professional groups are statistically significant, with p value <0.005. For researchers, complexity is one of the two most important inhibitory factors. We present recommendations to support the integration of AMP into AUVs substantiated by recent examples where government, industry, and researchers have developed and tested AMPs.
Text
AdaptiveAUVAssessmentRevised v10
- Accepted Manuscript
More information
Accepted/In Press date: 21 January 2018
e-pub ahead of print date: 16 March 2018
Published date: February 2019
Keywords:
autonomous underwater vehicles, adaptive planning, autonomy, gliders, mission planning, risk, precision, positioning
Identifiers
Local EPrints ID: 417229
URI: http://eprints.soton.ac.uk/id/eprint/417229
ISSN: 0018-9391
PURE UUID: 9f093db2-a7ef-42ec-9b1b-68b968cee94a
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Date deposited: 26 Jan 2018 17:30
Last modified: 16 Mar 2024 06:08
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Author:
Ronald S. Lewis
Author:
Neil Bose
Author:
Gwyn Griffiths
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