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IVObility SIGNED

Revolutionizing ground-handling procedures and increasing airport efficiency, economy, and safety

Total Cost €

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EC-Contrib. €

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Partnership

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 IVObility project word cloud

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

expenditure    neuron    minutes    inefficient    ivobility    fleet    streamline    committed    network    vehicles    created    neural    modular    secure    driver    services    air    kits    completing    flight    baggage    action    autonomous    500k    billion    spin    gurion    networks    pilot    handling    team    reduce    software    skilled    exclusively    operators    moving    bg    put    deepen    modifications    ben    vehicle    human    delays    first    caused    robotics    verify    solutions    laboratory    travelling    dependent    people    members    robotic    remotely    losses    capital    contracts    amounting    limited    shuttling    faster    started    off    companies    exploring    ground    expensive    algorithm    flights    automating    service    retrofitted    passengers    function    requiring    ruggedness    safer    10    complaint    sales    withstand    university    airport    weather    mechanical    airports    placement    84    computing    delayed    deep    engineering   

Project "IVObility" data sheet

The following table provides information about the project.

Coordinator
BGR ROBOTICS LTD 

Organization address
address: HA-ENERGIA 77 ST
city: BEER SHEVA
postcode: n.a.
website: n.a.

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 Israel [IL]
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-12-01   to  2020-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    BGR ROBOTICS LTD IL (BEER SHEVA) coordinator 50˙000.00

Map

 Project objective

People are travelling by air each year and a common complaint is delayed flights. 10% of flight delays are caused by inefficient ground handling, amounting to €8.9 billion in losses every year. Our project aims to reduce inefficient ground handling by automating ground handling services, making them faster, safer, more robust, less dependent on human operators, and able to withstand all weather conditions. Some airports have started exploring the use of specific autonomous vehicles or kits to remotely control vehicles. However, these “solutions” can be very expensive (up to €500K/vehicle) and most are limited to very specific activities (moving baggage or shuttling passengers). BG Robotics is a spin-off of Ben-Gurion University’s Laboratory of Autonomous Robotics with 10 team members highly skilled in robotics, software/mechanical engineering and computing deep neural networks. we have developed IVObility, the first robotic driver created specifically (but not exclusively) for ground handling vehicles. In less than 10 minutes, any vehicle can be put into immediate action. An existing fleet can be used “as is” since any vehicle can be retrofitted with IVObility without the need for modifications, requiring 84% less capital expenditure than current solutions. As a next step, we want to enhance IVObility’s ruggedness, deepen its algorithm and neuron network and streamline its modular production. We will secure sales contracts with airport operators and ground handling service companies, who has committed to completing a pilot study to demonstrate IVObility’s function and verify the placement of IVObility at the airports they service.

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

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