Description du projet
Des pilotes robotisés pour améliorer l’efficacité des compagnies aériennes
Entre le moment où un avion arrive à un terminal et celui où il part pour le vol suivant, l’assistance au sol gère les nombreux services requis par un avion de ligne. Rapidité et précision sont essentielles. Le projet IVObility, financé par l’UE, va mettre au point un pilote robotique pour automatiser ces services dans le but de limiter les inefficacités, qui sont à l’origine de 10 % des retards de vols et qui représentent près de 9 milliards d’euros chaque année. Ce nouveau pilote robotique sera plus rapide, plus sûr, plus robuste, moins dépendant des opérateurs humains et capable de faire face à tous types de conditions météorologiques. Le projet mènera une étude pilote pour démontrer les capacités d’IVObility. Il permettra également d’améliorer les systèmes et d’approfondir l’algorithme ainsi que le réseau de neurones.
Objectif
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.
Champ scientifique
- 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
Programme(s)
Régime de financement
SME-1 - SME instrument phase 1Coordinateur
BEER SHEVA
Israël
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.