Descripción del proyecto
Tecnologías robóticas flexibles respaldadas por inteligencia artificial para la manipulación y el montaje de diferentes componentes
La industria 4.0 aporta múltiples beneficios como, por ejemplo, una mayor fiabilidad, reproducibilidad, productividad y seguridad humana. No obstante, la automatización industrial debe evolucionar a fin de mejorar la flexibilidad y la agilidad de las tecnologías robóticas. De este modo se atenderá la creciente necesidad de productos personalizados y se garantizará un cambio rápido y continuo del funcionamiento de la línea de fabricación para adaptarse a necesidades imprevistas. En conjunto, la flexibilidad minimizará el tiempo de inactividad y la disminución de la productividad y las ganancias. En el proyecto MASTERLY, financiado con fondos europeos, se desarrollarán innovaciones robóticas flexibles basadas en pinzas modulares y tecnologías robóticas de última generación mejoradas con capacidades avanzadas de control y percepción guiadas por inteligencia artificial. Las tecnologías podrán funcionar de forma autónoma para manipular muchas piezas heterogéneas con diferente forma, tamaño y composición material.
Objetivo
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).
Ámbito científico
- 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
Palabras clave
Programa(s)
Convocatoria de propuestas
HORIZON-CL4-2022-TWIN-TRANSITION-01
Consulte otros proyectos de esta convocatoriaRégimen de financiación
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinador
265 04 Rio Patras
Grecia