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.

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

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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