Descrizione del progetto
Unità robotiche per aumentare l’efficienza delle linee aeree
Tra il momento in cui un aereo arriva al gate di un terminal e il momento in cui parte per il suo prossimo volo, l’assistenza a terra risponde ai numerosi obblighi di servizio di un aereo di linea. Velocità e precisione sono fondamentali. Il progetto IVObility, finanziato dall’UE, svilupperà un’unità robotica per automatizzare i servizi al fine di ridurre l’inefficienza, che provoca il 10 % dei ritardi dei voli e ammonta a circa 9 miliardi di EUR ogni anno. La nuova unità robotica sarà più veloce, più sicura, più robusta, meno dipendente dagli operatori umani e in grado di resistere a tutte le condizioni meteorologiche. Il progetto condurrà uno studio pilota per dimostrare le capacità di IVObility. Migliorerà anche i sistemi e approfondirà l’algoritmo e la rete neurale.
Obiettivo
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.
Campo scientifico
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineeringautonomous vehicles
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robots
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEInst-2018-2020-1
Meccanismo di finanziamento
SME-1 - SME instrument phase 1Coordinatore
BEER SHEVA
Israele
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