Descrizione del progetto
Soluzioni robotiche flessibili basate sull’intelligenza artificiale per la movimentazione e l’assemblaggio di componenti diversificati
L’Industria 4.0 ha portato numerosi vantaggi, tra cui una maggiore affidabilità, riproducibilità, produttività e sicurezza umana. Ora l’automazione industriale deve evolversi per migliorare la flessibilità e l’agilità delle soluzioni robotiche. Ciò consentirà di soddisfare la crescente esigenza di prodotti personalizzati e di garantire un passaggio rapido e diretto nel funzionamento della linea di produzione per soddisfare esigenze impreviste. Insieme, la flessibilità ridurrà al minimo i tempi di inattività e i cali di produttività e profitti. Il progetto MASTERLY, finanziato dall’UE, svilupperà soluzioni robotiche flessibili basate su pinze modulari e tecnologie robotiche all’avanguardia potenziate con capacità di controllo e percezione avanzate, guidate dall’intelligenza artificiale. Le tecnologie saranno in grado di agire autonomamente gestendo più pezzi diversi per dimensioni, forma e materiale.
Obiettivo
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).
Campo scientifico
- 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
Parole chiave
Programma(i)
Invito a presentare proposte
HORIZON-CL4-2022-TWIN-TRANSITION-01
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HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinatore
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