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Underwater Docking Approach and Homing to Enable Persistent Operation
One of the main limiting factors in deployment of marine robots is the issue of energy sustainability. This is particularly challenging for traditional propeller-driven autonomous underwater vehicles which operate using energy intensive thrusters. One emerging technology to enable persistent perform...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8006916/ https://www.ncbi.nlm.nih.gov/pubmed/33791340 http://dx.doi.org/10.3389/frobt.2021.621755 |
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author | Page, Brian R. Lambert, Reeve Chavez‐Galaviz, Jalil Mahmoudian, Nina |
author_facet | Page, Brian R. Lambert, Reeve Chavez‐Galaviz, Jalil Mahmoudian, Nina |
author_sort | Page, Brian R. |
collection | PubMed |
description | One of the main limiting factors in deployment of marine robots is the issue of energy sustainability. This is particularly challenging for traditional propeller-driven autonomous underwater vehicles which operate using energy intensive thrusters. One emerging technology to enable persistent performance is the use of autonomous recharging and retasking through underwater docking stations. This paper presents an integrated navigational algorithm to facilitate reliable underwater docking of autonomous underwater vehicles. Specifically, the algorithm dynamically re-plans Dubins paths to create an efficient trajectory from the current vehicle position through approach into terminal homing. The path is followed using integral line of sight control until handoff to the terminal homing method. A light tracking algorithm drives the vehicle from the handoff location into the dock. In experimental testing using an Oceanserver Iver3 and Bluefin SandShark, the approach phase reached the target handoff within 2 m in 48 of 48 tests. The terminal homing phase was capable of handling up to 5 m offsets with approximately 70% accuracy (12 of 17 tests). In the event of failed docking, a Dubins path is generated to efficiently drive the vehicle to re-attempt docking. The vehicle should be able to successfully dock in the majority of foreseeable scenarios when re-attempts are considered. This method, when combined with recent work on docking station design, intelligent cooperative path planning, underwater communication, and underwater power transfer, will enable true persistent undersea operation in the extremely dynamic ocean environment. |
format | Online Article Text |
id | pubmed-8006916 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80069162021-03-30 Underwater Docking Approach and Homing to Enable Persistent Operation Page, Brian R. Lambert, Reeve Chavez‐Galaviz, Jalil Mahmoudian, Nina Front Robot AI Robotics and AI One of the main limiting factors in deployment of marine robots is the issue of energy sustainability. This is particularly challenging for traditional propeller-driven autonomous underwater vehicles which operate using energy intensive thrusters. One emerging technology to enable persistent performance is the use of autonomous recharging and retasking through underwater docking stations. This paper presents an integrated navigational algorithm to facilitate reliable underwater docking of autonomous underwater vehicles. Specifically, the algorithm dynamically re-plans Dubins paths to create an efficient trajectory from the current vehicle position through approach into terminal homing. The path is followed using integral line of sight control until handoff to the terminal homing method. A light tracking algorithm drives the vehicle from the handoff location into the dock. In experimental testing using an Oceanserver Iver3 and Bluefin SandShark, the approach phase reached the target handoff within 2 m in 48 of 48 tests. The terminal homing phase was capable of handling up to 5 m offsets with approximately 70% accuracy (12 of 17 tests). In the event of failed docking, a Dubins path is generated to efficiently drive the vehicle to re-attempt docking. The vehicle should be able to successfully dock in the majority of foreseeable scenarios when re-attempts are considered. This method, when combined with recent work on docking station design, intelligent cooperative path planning, underwater communication, and underwater power transfer, will enable true persistent undersea operation in the extremely dynamic ocean environment. Frontiers Media S.A. 2021-03-15 /pmc/articles/PMC8006916/ /pubmed/33791340 http://dx.doi.org/10.3389/frobt.2021.621755 Text en Copyright © 2021 Page, Lambert, Chavez‐Galaviz and Mahmoudian. 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. |
spellingShingle | Robotics and AI Page, Brian R. Lambert, Reeve Chavez‐Galaviz, Jalil Mahmoudian, Nina Underwater Docking Approach and Homing to Enable Persistent Operation |
title | Underwater Docking Approach and Homing to Enable Persistent Operation |
title_full | Underwater Docking Approach and Homing to Enable Persistent Operation |
title_fullStr | Underwater Docking Approach and Homing to Enable Persistent Operation |
title_full_unstemmed | Underwater Docking Approach and Homing to Enable Persistent Operation |
title_short | Underwater Docking Approach and Homing to Enable Persistent Operation |
title_sort | underwater docking approach and homing to enable persistent operation |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8006916/ https://www.ncbi.nlm.nih.gov/pubmed/33791340 http://dx.doi.org/10.3389/frobt.2021.621755 |
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