Description du projet
Solutions robotiques flexibles alimentées par l’IA pour la manipulation et l’assemblage de composants en tous genres
L’industrie 4.0 a s’est accompagnée de nombreux avantages, notamment une fiabilité, une reproductibilité, une productivité et une sécurité humaine accrues. À l’heure actuelle, l’automatisation industrielle doit évoluer pour accroître la flexibilité et l’agilité des solutions robotiques. Cette évolution est nécessaire pour répondre au besoin croissant de produits personnalisés et assurer la transformation rapide et harmonieuse de la chaîne de production afin qu’elle puisse répondre à des besoins imprévus. Cette flexibilité réduira les temps d’arrêt et augmentera la productivité et les bénéfices. Le projet MASTERLY, financé par l’UE, développera des solutions robotiques flexibles qui reposent sur l’utilisation de préhenseurs modulaires et de technologies robotiques de pointe dotées de capacités de contrôle et de perception avancées pilotées par l’IA. Les technologies seront capables d’agir de façon autonome pour manipuler de nombreuses pièces de tailles, de formes et de types de matériaux différents.
Objectif
Over the last years, production has been shifted from mass production to customization. The conventional production lines, traditionally focused on one product variant or one family of products do show their limitations to cope with the new needs. Moreover, unprecedented worldwide events, such as the recent pandemic crisis, indicated even more the need for flexible production systems that can rapidly switch production to a totally different one (e.g. automotive manufactures had to produce respirators, facemasks etc.).
As a response, MASTERLY aims to develop flexible robotic solutions, constituting of modular grippers combined with state-of-the-art robotic technologies, such as mobile, high and low payload industrial and collaborative robots and smart cranes, enhanced with AI driven advanced control and perception capabilities that will allow them to act autonomously, handling a large variety of parts varying in size, shape and material, while being acceptable by both genders of workforce.
The developments will focus around the following 5 pillars:
1) Innovative, efficient and low consumption systems for storage, retrieval, conveying and pick-and-place using a multi-disciplinary approach combining technologies
2) Robust handling devices and systems, with integrated –AI driven- advanced control
3) User-friendly interfaces for robot/machine control and programming
4) Interoperable S/W and H/W interfaces
5) Industrial Pilot Cases for work piece handling in full production line
The technologies will be tested for flexibility, efficiency & user acceptance in three use cases from different productions sectors, aiming to demonstrate production line and cross sector applicability and adaptability: Elevators manufacturing, focusing on the assembly of electrical cabinets of lifts (KLEEMANN), Sportswear, focusing on warehouse logistics and packaging (DECATHLON) and Aeronautics production, focusing on production of large composite panels of aircraft wings (AERNNOVA).
Champ scientifique
- natural sciencescomputer and information sciencesartificial intelligence
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaeronautical engineering
- social scienceseconomics and businessbusiness and managementemployment
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics
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Régime de financement
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinateur
265 04 Rio Patras
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