Search Results - "Sammut, Karl"

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  1. 1

    Materials Selection for Antifouling Systems in Marine Structures by Donnelly, Bradley, Sammut, Karl, Tang, Youhong

    Published in Molecules (Basel, Switzerland) (25-05-2022)
    “…Fouling is the accumulation of unwanted substances, such as proteins, organisms, and inorganic molecules, on marine infrastructure such as pylons, boats, or…”
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    Journal Article
  2. 2

    A survey on path planning for persistent autonomy of autonomous underwater vehicles by Zeng, Zheng, Lian, Lian, Sammut, Karl, He, Fangpo, Tang, Youhong, Lammas, Andrew

    Published in Ocean engineering (01-12-2015)
    “…Recently, there has been growing interest in developing Autonomous Underwater Vehicle (AUV) to operate for longer mission durations as well as with higher…”
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  3. 3

    A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance by Domingos, Lucas C F, Santos, Paulo E, Skelton, Phillip S M, Brinkworth, Russell S A, Sammut, Karl

    Published in Sensors (Basel, Switzerland) (11-03-2022)
    “…This paper presents a comprehensive overview of current deep-learning methods for automatic object classification of underwater sonar data for shoreline…”
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  4. 4

    Effects of Various Antifouling Coatings and Fouling on Marine Sonar Performance by Donnelly, Bradley, Bedwell, Ian, Dimas, Jim, Scardino, Andrew, Tang, Youhong, Sammut, Karl

    Published in Polymers (11-04-2019)
    “…There is a rising imperative to increase the operational availability of maritime vessels by extending the time between full docking cycles. To achieve…”
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  5. 5

    Learning Adaptive Control of a UUV Using a Bio-Inspired Experience Replay Mechanism by Chaffre, Thomas, Santos, Paulo E., Le Chenadec, Gilles, Chauveau, Estelle, Sammut, Karl, Clement, Benoit

    Published in IEEE access (01-01-2023)
    “…Deep Reinforcement Learning (DRL) methods are increasingly being applied in Unmanned Underwater Vehicles (UUV) providing adaptive control responses to…”
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  6. 6

    An Investigation of Preprocessing Filters and Deep Learning Methods for Vessel Type Classification With Underwater Acoustic Data by Domingos, Lucas C. F., Santos, Paulo E., Skelton, Phillip S. M., Brinkworth, Russell S. A., Sammut, Karl

    Published in IEEE access (2022)
    “…The illegal exploitation of protected marine environments has consistently threatened the biodiversity and economic development of coastal regions. Extensive…”
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  7. 7

    Toward efficient task assignment and motion planning for large-scale underwater missions by MahmoudZadeh, Somaiyeh, Powers, David MW, Sammut, Karl, Yazdani, Amirmehdi

    “…An autonomous underwater vehicle needs to possess a certain degree of autonomy for any particular underwater mission to fulfil the mission objectives…”
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  8. 8

    Shape optimization of an autonomous underwater vehicle with a ducted propeller using computational fluid dynamics analysis by Joung, Tae-Hwan, Sammut, Karl, He, Fangpo, Lee, Seung-Keon

    “…Autonomous Underwater Vehicles (AUVs) provide a useful means of collecting detailed oceano-graphic information. The hull resistance of an AUV is an important…”
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    Journal Article
  9. 9

    Verification of CFD analysis methods for predicting the drag force and thrust power of an underwater disk robot by Joung, Tae-Hwan, Choi, Hyeung-Sik, Jung, Sang-Ki, Sammut, Karl, He, Fangpo

    “…This paper examines the suitability of using the Computational Fluid Dynamics (CFD) tools, ANSYS-CFX, as an initial analysis tool for predicting the drag and…”
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  10. 10

    A comparison of optimization techniques for AUV path planning in environments with ocean currents by Zeng, Zheng, Sammut, Karl, Lian, Lian, He, Fangpo, Lammas, Andrew, Tang, Youhong

    Published in Robotics and autonomous systems (01-08-2016)
    “…To date, a large number of optimization algorithms have been presented for Autonomous Underwater Vehicle (AUV) path planning. However, little effort has been…”
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  11. 11

    Verification of CFD analysis methods for predicting the drag force and thrust power of an underwater disk robot by Joung, Tae-Hwan, Choi, Hyeung-Sik, Jung, Sang-Ki, Sammut, Karl, He, Fangpo

    “…This paper examines the suitability of using the Computational Fluid Dynamics (CFD) tools, ANSYS-CFX, as an initial analysis tool for predicting the drag and…”
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    Journal Article
  12. 12

    Design and Computational Modelling of AUV Tunnel Thruster Covers for Efficient Operation by McNeill, Christopher, Cooper-Baldock, Zachary, Sammut, Karl

    Published in Journal of marine science and engineering (09-11-2024)
    “…Autonomous underwater vehicles have seen widespread adoption across industrial, scientific, and defence applications. They are typically utilized to perform…”
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  13. 13

    Sim-to-real transfer of adaptive control parameters for AUV stabilisation under current disturbance by Chaffre, Thomas, Wheare, Jonathan, Lammas, Andrew, Santos, Paulo, Le Chenadec, Gilles, Sammut, Karl, Clement, Benoit

    “…Learning-based adaptive control methods hold the potential to empower autonomous agents in mitigating the impact of process variations with minimal human…”
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  14. 14

    Shape optimization of an autonomous underwater vehicle with a ducted propeller using computational fluid dynamics analysis by Joung, Tae-Hwan, Sammut, Karl, He, Fangpo, Lee, Seung-Keon

    “…Autonomous Underwater Vehicles (AUVs) provide a useful means of collecting detailed oceano-graphic information. The hull resistance of an AUV is an important…”
    Get full text
    Journal Article
  15. 15

    Response component analysis for sea state estimation using artificial neural networks and vessel response spectral data by Long, Nathan K., Sgarioto, Daniel, Garratt, Matthew, Sammut, Karl

    Published in Applied ocean research (01-10-2022)
    “…The use of the ‘ship as a wave buoy analogy’ (SAWB) provides a novel means to estimate sea states, where relationships are established between causal wave…”
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  16. 16

    Toward the Generation of Mission Plans for Operation of Autonomous Marine Vehicles in Confined Areas by Wheare, Jonathan, Lammas, Andrew, Sammut, Karl

    Published in IEEE journal of oceanic engineering (01-04-2019)
    “…Mission planning for autonomous marine vehicle operations normally considers journeys over long periods of time. Due to these long transit times, obstacles and…”
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    Journal Article
  17. 17

    Hydrodynamic Analysis of Payload Bay Berthing for Underwater Vehicles by Cooper-Baldock, Zachary L., Santos, Paulo E., Brinkworth, Russell S. A., Sammut, Karl

    Published in IEEE journal of oceanic engineering (01-07-2024)
    “…The development of extra-large uncrewed underwater vehicles (XLUUVs) presents an opportunity for transporting smaller uncrewed or autonomous underwater…”
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  18. 18

    Rendezvous Path Planning for Multiple Autonomous Marine Vehicles by Zeng, Zheng, Sammut, Karl, Lian, Lian, Lammas, Andrew, He, Fangpo, Tang, Youhong

    Published in IEEE journal of oceanic engineering (01-07-2018)
    “…In this paper, a distributed shell-space decomposition (DSSD) scheme is proposed for rendezvous trajectory planning of multiple autonomous marine vehicles…”
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  19. 19

    Efficient Path Re-planning for AUVs Operating in Spatiotemporal Currents by Zeng, Zheng, Sammut, Karl, Lammas, Andrew, He, Fangpo, Tang, Youhong

    Published in Journal of intelligent & robotic systems (01-07-2015)
    “…This paper presents an on-line dynamic path re-planning system for an autonomous underwater vehicle (AUV) to enable it to operate efficiently in a…”
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  20. 20

    An autonomous reactive architecture for efficient AUV mission time management in realistic dynamic ocean environment by Mahmoud Zadeh, Somaiyeh, Powers, David M.W., Sammut, Karl

    Published in Robotics and autonomous systems (01-01-2017)
    “…Today AUVs operation still remains restricted to very particular tasks with low real autonomy due to battery restrictions. Efficient path planning and mission…”
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