Opendata, web and dolomites

SeaClear SIGNED

SEarch, identificAtion and Collection of marine Litter with Autonomous Robots

Total Cost €

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EC-Contrib. €

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Partnership

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 SeaClear project word cloud

Explore the words cloud of the SeaClear project. It provides you a very rough idea of what is the project "SeaClear" about.

inflow    66    million    plan    classify    actively    gather    94    gripper    oceans    exploits    robot    exists    innovation    70    today    offload    integrator    detect    public    uuvs    surface    proven    coastal    solution    divers    mapping    academic    located    debris    vehicles    create    usv    stakeholders    tethered    always    water    litter    dunea    operate    dubrovnik    classification    uuv    few    seabed    seafloor    underwater    hamburg    80    column    intervention    industry    suction    90    computation    feasibility    aerial    mostly    robots    inspection    unmanned    collect    local    tons    mixed    autonomous    area    complementary    uav    autonomously    digital    besides    map    contain    26    power    small    seaclear    expertise    marine    platform    supplying    waste    first    hubs    team    cleaning    sme    strategy    concentrates    scientists    multiple    hardware    robotics    correlations    manipulator    remote    touristic    human    efforts    port    collection    rate    sensing    combined    approximately   

Project "SeaClear" data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITEIT DELFT 

Organization address
address: STEVINWEG 1
city: DELFT
postcode: 2628 CN
website: www.tudelft.nl

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 4˙981˙267 €
 EC max contribution 4˙981˙267 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2019-2
 Funding Scheme RIA
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2023-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITEIT DELFT NL (DELFT) coordinator 743˙135.00
2    SUBSEA TECH SAS FR (MARSEILLE) participant 953˙700.00
3    FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. DE (MUNCHEN) participant 877˙400.00
4    TECHNISCHE UNIVERSITAET MUENCHEN DE (MUENCHEN) participant 689˙200.00
5    SVEUCILISTE U DUBROVNIKU HR (DUBROVNIK) participant 608˙225.00
6    UNIVERSITATEA TEHNICA CLUJ-NAPOCA RO (CLUJ NAPOCA) participant 555˙695.00
7    HAMBURG PORT AUTHORITY DE (HAMBURG) participant 346˙337.00
8    REGIONALNA AGENCIJA DUNEA HR (DUBROVNIK) participant 207˙575.00

Map

 Project objective

Today's oceans contain 26-66 million tons of waste, with approximately 94% located on the seafloor. So far, collection efforts have focused mostly on surface waste, with only a few local efforts to gather underwater waste, always using human divers. No solution exists that exploits autonomous robots for underwater litter collection; the SeaClear project will develop the first. We will create a mixed team of Unmanned Underwater, Surface, and Aerial Vehicles -- UUV, USV, UAV -- to find and collect litter from the seabed and from the water column, focusing on coastal areas since that is where waste inflow concentrates. The UAV and one or several inspection UUVs map the litter, aiming to establish correlations between surface and underwater litter. One or multiple collection UUVs then classify and collect litter, using a combined suction-gripper manipulator for both small and large waste. The UUVs are tethered to offload power and computation to the USV. Our objective is to operate the robots autonomously, without remote human intervention, and to that end we plan novel developments in debris mapping, classification, and robot control. When fully operational, the SeaClear system aims to detect and classify underwater litter with 80% success rate, and collect it with a 90% success rate; all this at 70% reduced cost compared to divers. We will demonstrate these features in two case studies: one in port cleaning (with end-user Hamburg Port Authority), and the other in a touristic area (Dubrovnik -- with end-user DUNEA). Besides the two end-users, the consortium includes an SME supplying proven hardware for our platform; an experienced marine system integrator; and four academic institutions with complementary expertise in underwater and aerial robotics, sensing, mapping, and control. The feasibility of SeaClear is completed by an exploitation and dissemination strategy that actively involves scientists, public and industry stakeholders, and Digital Innovation Hubs.

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The information about "SEACLEAR" are provided by the European Opendata Portal: CORDIS opendata.

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