Improving Resource Management for Unattended Observation of the Marginal Ice Zone Using Autonomous Underwater Gliders

We present control policies for use with a modified autonomous underwater glider that are intended to enable remote launch/recovery and long-range unattended survey of the Arctic's marginal ice zone (MIZ). This region of the Arctic is poorly characterized but critical to the dynamics of ice adv...

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Published in:Frontiers in Robotics and AI
Main Authors: Duguid, Zachary, Camilli, Richard
Format: Text
Language:English
Published: Frontiers Media S.A. 2021
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874182/
https://doi.org/10.3389/frobt.2020.579256
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spelling ftpubmed:oai:pubmedcentral.nih.gov:7874182 2023-05-15T14:51:41+02:00 Improving Resource Management for Unattended Observation of the Marginal Ice Zone Using Autonomous Underwater Gliders Duguid, Zachary Camilli, Richard 2021-01-18 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874182/ https://doi.org/10.3389/frobt.2020.579256 en eng Frontiers Media S.A. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874182/ http://dx.doi.org/10.3389/frobt.2020.579256 Copyright © 2021 Duguid and Camilli. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. CC-BY Front Robot AI Robotics and AI Text 2021 ftpubmed https://doi.org/10.3389/frobt.2020.579256 2021-02-14T01:43:55Z We present control policies for use with a modified autonomous underwater glider that are intended to enable remote launch/recovery and long-range unattended survey of the Arctic's marginal ice zone (MIZ). This region of the Arctic is poorly characterized but critical to the dynamics of ice advance and retreat. Due to the high cost of operating support vessels in the Arctic, the proposed glider architecture minimizes external infrastructure requirements for navigation and mission updates to brief and infrequent satellite updates on the order of once per day. This is possible through intelligent power management in combination with hybrid propulsion, adaptive velocity control, and dynamic depth band selection based on real-time environmental state estimation. We examine the energy savings, range improvements, decreased communication requirements, and temporal consistency that can be attained with the proposed glider architecture and control policies based on preliminary field data, and we discuss a future MIZ survey mission concept in the Arctic. Although the sensing and control policies presented here focus on under ice missions with an unattended underwater glider, they are hardware independent and are transferable to other robotic vehicle classes, including in aerial and space domains. Text Arctic PubMed Central (PMC) Arctic Frontiers in Robotics and AI 7
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Robotics and AI
spellingShingle Robotics and AI
Duguid, Zachary
Camilli, Richard
Improving Resource Management for Unattended Observation of the Marginal Ice Zone Using Autonomous Underwater Gliders
topic_facet Robotics and AI
description We present control policies for use with a modified autonomous underwater glider that are intended to enable remote launch/recovery and long-range unattended survey of the Arctic's marginal ice zone (MIZ). This region of the Arctic is poorly characterized but critical to the dynamics of ice advance and retreat. Due to the high cost of operating support vessels in the Arctic, the proposed glider architecture minimizes external infrastructure requirements for navigation and mission updates to brief and infrequent satellite updates on the order of once per day. This is possible through intelligent power management in combination with hybrid propulsion, adaptive velocity control, and dynamic depth band selection based on real-time environmental state estimation. We examine the energy savings, range improvements, decreased communication requirements, and temporal consistency that can be attained with the proposed glider architecture and control policies based on preliminary field data, and we discuss a future MIZ survey mission concept in the Arctic. Although the sensing and control policies presented here focus on under ice missions with an unattended underwater glider, they are hardware independent and are transferable to other robotic vehicle classes, including in aerial and space domains.
format Text
author Duguid, Zachary
Camilli, Richard
author_facet Duguid, Zachary
Camilli, Richard
author_sort Duguid, Zachary
title Improving Resource Management for Unattended Observation of the Marginal Ice Zone Using Autonomous Underwater Gliders
title_short Improving Resource Management for Unattended Observation of the Marginal Ice Zone Using Autonomous Underwater Gliders
title_full Improving Resource Management for Unattended Observation of the Marginal Ice Zone Using Autonomous Underwater Gliders
title_fullStr Improving Resource Management for Unattended Observation of the Marginal Ice Zone Using Autonomous Underwater Gliders
title_full_unstemmed Improving Resource Management for Unattended Observation of the Marginal Ice Zone Using Autonomous Underwater Gliders
title_sort improving resource management for unattended observation of the marginal ice zone using autonomous underwater gliders
publisher Frontiers Media S.A.
publishDate 2021
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874182/
https://doi.org/10.3389/frobt.2020.579256
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Front Robot AI
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7874182/
http://dx.doi.org/10.3389/frobt.2020.579256
op_rights Copyright © 2021 Duguid and Camilli.
http://creativecommons.org/licenses/by/4.0/
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
op_rightsnorm CC-BY
op_doi https://doi.org/10.3389/frobt.2020.579256
container_title Frontiers in Robotics and AI
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