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organization

MST

OCEANSCAN - MARINE SYSTEMS & TECHNOLOGY LDA
Country: Portugal
11 Projects, page 1 of 3
  • Open Access mandate for Publications
    Funder: EC Project Code: 270180
    Partners: ULP, CNRS, ETH Zurich, Imperial, Delft University of Technology, APDL, MST, TSI, CERTH
  • Funder: EC Project Code: 262160
    Partners: JYU, ANTINEA FOUNDATION, ULP, UEVE, VIRTUALDIVE, MST, LudoCraft, EPITA, MEDIATOUCH
  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 776825
    Overall Budget: 4,694,840 EURFunder Contribution: 4,694,840 EUR
    Partners: ISR, CLS, COMPOSITE SOLUTIONS LDA, UPC, MST, DEIMOS ENGENHARIA SA, IH, Smartbay Ireland, INESC TEC, DEIMOS

    The MELOA project proposes to develop a low-cost, easy-to-handle, wave resilient, multi-purpose, multi-sensor, extra light surface drifter for use in all water environments, ranging from deep-sea to inland waters, including coastal areas, river plumes and surf zones. The device will be developed as an upgrade to the WAVY drifter conceived by the Faculty of Engineering of the University of Porto, which was used to measure the surface circulation forced by wave breaking, including detailed structure of rifts and the littoral drift current (Jorge da Silva et al, 2016). The philosophy of the WAVY drifter will essentially be respected: a small-size sphere with just enough room to accommodate power source, GPS-receiver, communications modules, antennae, sensors and data processor; optimised buoyancy to prevent the drifter trajectory responding to the wind instead of the current, while providing just enough exposure of the antennae to ensure acquisition of the GPS signal at the required rate and reliable near real-time communications. Given the low influence of wind upon the drifters’ displacements, MELOA will provide a cheap effective way to monitor surface currents and surface dynamic features anywhere in the World Ocean. Through equipping the drifters with thermistors at two different levels, the possibility is open for monitoring “near-skin temperature” and near-surface vertical temperature gradients, which will be invaluable for calibration/validation of satellite derived SST fields.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 956200
    Overall Budget: 4,076,960 EURFunder Contribution: 4,076,960 EUR
    Partners: AU, Delft University of Technology, ULP, DFKI, University of Bremen, UNIVERSITY OSLO, ROSEN TECHNOLOGY & RESEARCH CENTERGMBH, IT UNIVERSITY OF COPENHAGEN, MST, EIVA A/S...

    The underwater industry is an important part of European economy, including wind energy, oil&gas, food, pharma, mining, and bio- and geo- science. A responsible and environmentally-friendly growth of this economy calls for automation of monitoring to prevent unexpected energy blackouts, oil&gas spills, and pollution from food, pharma, and mining. This in turn requires development of reliable AI for underwater robotics. The REMARO ETN brings together recognized robotics AI, software reliability, and safety experts. It shall train 15 ESRs able to realize the vision of reliable autonomy for underwater applications. REMARO attacks one of the most pressing problems of modern computing, the safety of AI, in the well defined context of submarine robotics. The REMARO ESRs will develop the first ever underwater robotics AI methods with quantified reliability, correctness specs, models, tests, and analysis & verification methods. REMARO rests on two founding principles: 1. The submarine robot autonomy requires a comprehensive hybrid deliberative architecture, 2. Safety and reliability must be co-designed simultaneously with cognition, not separately, as an afterthought. The expertise of the consortium allows to deliver a world-class interdisciplinary training-by-research program in computer vision and machine learning, reasoning and planning, model-driven-engineering, testing, verification, and model-checking. The REMARO program includes almost 40 days of intense activities, 3 cross-sector cross-discipline Challenge Camps, and 37 secondments, including 20 at industrial labs. The network will communicate results to two large research communities and to industry via European platforms and its own Industry Follow Group. The training material will be published in the REMARO book and the REMARO online Learning Hub. The software and data will be licensed for open use to accelerate research and maximize the long-lasting impact on European underwater robotics industry.

  • Funder: EC Project Code: 223844
    Partners: UNIVR, Delft University of Technology, Ghent University, TU/e, OCE, TRI, ULP, CWI, PSA ANTWERP, MST...