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.

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

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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