Descripción del proyecto
Conductores robóticos para mejorar la eficiencia de las líneas aéreas
Entre cuando un avión llega a la puerta de la terminal y cuando para el siguiente vuelo, el servicio de asistencia en tierra atiende las necesidades de servicios del avión comercial, para los que la velocidad y la precisión son clave. El proyecto IVObility, financiado con fondos europeos, desarrollará un conductor robótico para automatizar los servicios con el fin de reducir la ineficacia, que provoca el 10 % de los retrasos en los vuelos y cuesta alrededor de 9 000 millones de euros al año. El nuevo conductor robótico será más rápido, seguro, robusto, menos dependiente de los operarios humanos y capaz de soportar todo tipo de condiciones meteorológicas. El proyecto llevará a cabo un estudio piloto para demostrar las capacidades de IVObility. Además, mejorará los sistemas y aumentará el algoritmo y la red neuronal.
Objetivo
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.
Ámbito científico
- 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
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SMEInst-2018-2020-1
Régimen de financiación
SME-1 - SME instrument phase 1Coordinador
BEER SHEVA
Israel
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.