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               <dc:title>Managed Surge Controller: A Docking Algorithm for a Non-Holonomic AUV (Sparus II) in the Presence of Ocean Currents for a Funnel-Shaped Docking Station</dc:title>
               <dc:creator>Esteba Masjuan, Joan</dc:creator>
               <dc:creator>Cieśląk, Patryk</dc:creator>
               <dc:creator>Palomeras Rovira, Narcís</dc:creator>
               <dc:creator>Ridao Rodríguez, Pere</dc:creator>
               <dc:subject>Vehicles submergibles</dc:subject>
               <dc:subject>Submersibles</dc:subject>
               <dc:subject>Robots autònoms</dc:subject>
               <dc:subject>Autonomous robots</dc:subject>
               <dc:subject>Algorismes computacionals</dc:subject>
               <dc:subject>Computer algorithms</dc:subject>
               <dc:description>This paper presents a novel algorithm to dock a non-holonomic Autonomous Underwater Vehicle (AUV) into a funnel-shaped Docking Station (DS), in the presence of ocean currents. In a previous work, the authors have compared several docking algorithms through Monte Carlo simulations. In this paper, a new control algorithm is presented with a goal to improve over the previous ones to fulfil the specific needs of the ATLANTIS project. Performance of the new proposed algorithm has been compared with the results of the previous study, using the same environemnt on the Stonefish hardware-in-the-loop simulator</dc:description>
               <dc:description>This work has been developed in the context of the ATLANTIS “The Atlantic Testing&#xd;
Platform for Maritime Robotics: New Frontiers for Inspection and Maintenance of Offshore Energy&#xd;
Infrastructures” project. Founded from the European Union’s Horizon 2020 research and innovation&#xd;
programme, under the Grant Agreement number 871571</dc:description>
               <dc:date>2024-05-22T09:51:04Z</dc:date>
               <dc:date>2024-05-22T09:51:04Z</dc:date>
               <dc:date>2022-12-26</dc:date>
               <dc:type>info:eu-repo/semantics/article</dc:type>
               <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
               <dc:type>peer-reviewed</dc:type>
               <dc:identifier>http://hdl.handle.net/10256/22473</dc:identifier>
               <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.3390/s23010241</dc:relation>
               <dc:relation>info:eu-repo/semantics/altIdentifier/eissn/1424-8220</dc:relation>
               <dc:relation>info:eu-repo/grantAgreement/EC/H2020/871571/EU/The Atlantic Testing Platform for Maritime Robotics: New Frontiers for Inspection and Maintenance of Offshore Energy Infrastructures/ATLANTIS</dc:relation>
               <dc:rights>Attribution 4.0 International</dc:rights>
               <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
               <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
               <dc:publisher>MDPI (Multidisciplinary Digital Publishing Institute)</dc:publisher>
               <dc:source>Sensors, 2023, vol. 23, núm. 1, p. 241</dc:source>
               <dc:source>Articles publicats (D-ATC)</dc:source>
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