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Nimble Artificial Intelligence driven robotic solutions for efficient and self-determined handling and assembly operations

PROJECTS
Funding
European
European Union
Duration
-
Geo-spatial type
Other
Total project cost
€5 683 670
EU Contribution
€5 683 670
Project Acronym
MASTERLY
STRIA Roadmaps
Vehicle design and manufacturing (VDM)
Transport mode
Multimodal icon
Transport policies
Other specified
Transport sectors
Passenger transport,
Freight transport

Overview

Call for proposal
HORIZON-CL4-2022-TWIN-TRANSITION-01
Link to CORDIS
Background & Policy context

Industry 4.0 has brought numerous benefits including enhanced reliability, reproducibility, productivity and human safety. Now, industrial automation must evolve to enhance the flexibility and agility of robotics solutions. This will accommodate the growing need for customised products and ensure rapid and seamless switching of production line operation to accommodate unforeseen needs. Together, the flexibility will minimise downtime and decreased productivity and profit. The EU-funded MASTERLY project will develop flexible robotic solutions based on modular grippers and state-of-the-art robotic technologies enhanced with AI driven advanced control and perception capabilities. The technologies will be able to act autonomously to handle many different parts varying in size, shape and material.

Objectives

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.

Methodology

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).

Funding

Specific funding programme
HORIZON.2.4 - Digital, Industry and Space
HORIZON.2.4.1 - Manufacturing Technologies
Other Programme
HORIZON-CL4-2022-TWIN-TRANSITION-01-04 Intelligent work piece handling in a full production line (Made in Europe Partnership) (RIA)

Partners

Lead Organisation
Organisation
PANEPISTIMIO PATRON
Address
UNIVERSITY CAMPUS RIO PATRAS, 265 04 RIO PATRAS, Greece
Organisation website
EU Contribution
€984 688
Partner Organisations
Organisation
KLEEMANN HELLAS SA
Address
INDUSTRIAL AREA OF STAVROCHORI KILK, 611 00 KILKIS, Greece
EU Contribution
€307 000
Organisation
DECATHLON PRODUZIONE ITALIA SRL
Address
VIA MICHELANGELO BUONARROTI 39, 20145 MILANO MI, Italy
EU Contribution
€297 969
Organisation
SYM VOULOI KAI PROIONTA LOGISMIKOU AE
Address
Michalakopoulou Str 64, 11528 Athens, Greece
Organisation website
EU Contribution
€341 250
Organisation
Fundacion Tekniker
Address
CALLE INAKI GOENAGA 5, 20600 EIBAR GUIPUZCOA, Spain
Organisation website
EU Contribution
€523 438
Organisation
RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN
Address
TEMPLERGRABEN 55, 52062 AACHEN, Germany
Organisation website
EU Contribution
€602 613
Organisation
Fondazione Istituto Italiano Di Tecnologia
Address
VIA MOREGO 30, 16163 GENOVA, Italy
Organisation website
EU Contribution
€501 376
Organisation
National Technical University Of Ukraine Igor Sikorsky Kyiv Polytechnic Institute
Address
PROSPECT PEREMOHY 37, KYIV, 03056, Ukraine
Organisation website
EU Contribution
€213 063
Organisation
AERNNOVA AEROSPACE SA
Address
CALLE LEONARDO DA VINCI 13 PARQUE TECNOLOGICO DE ALAVA, 01510 MINANO ALAVA, Spain
EU Contribution
€174 450
Organisation
COMAU SPA
Address
VIA RIVALTA 30, 10095 GRUGLIASCO, Italy
EU Contribution
€508 750
Organisation
TEACHING FACTORY COMPETENCE CENTERUPSKILLING AND TRAINING DEVELOPMENTAND IMPLEMENTATION OF ADVANCED TECHNOLOGIES FOR THE MANUFACTURING IND
Address
PAPANDREOU AVE & MIAOULI EXIT 4 ROADRING, 265 00 PATRAS, Greece
EU Contribution
€293 438
Organisation
CRIT CENTRO DI RICERCA E INNOVAZIONE TECNOLOGICA SRL
Address
VIA CONFINE 2310, 41058 Vignola, Italy
Organisation website
EU Contribution
€275 125
Organisation
Stam Srl
Address
VIA PARETO 8 AR, 16129 GENOVA GE, Italy
Organisation website
EU Contribution
€520 313

Technologies

Technology Theme
Manufacturing processes
Technology
Reduction of assembly time of large composite aircraft sections through heavy automation
Development phase
Validation

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