Opendata, web and dolomites

SeaClear SIGNED

SEarch, identificAtion and Collection of marine Litter with Autonomous Robots

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "SEACLEAR" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.2.1.1.)

EVOLVE (2018)

HPC and Cloud-enhanced Testbed for Extracting Value from Diverse Data at Large Scale

Read More  

MedPhab (2020)

Photonics Solutions at Pilot Scale for Accelerated Medical Device Development

Read More  

TheFSM (2020)

The Food Safety Market: an SME-powered industrial data platform to boost the competitiveness of European food certification

Read More