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

Summary

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 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).

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Demonstrators, pilots, prototypes
More information & hyperlinks
Web resources: https://www.masterly-project.eu/ - MASTERLY Website
https://www.linkedin.com/company/masterly-project-eu/ - MASTERLY LinkedIn page
https://www.youtube.com/watch?v=wyxzj-jDUxg&t=1s - 1st Video Presentation
Start date: 01-01-2023
End date: 30-06-2026
Total budget - Public funding: 5 683 670,00 Euro - 5 683 670,00 Euro
Cordis data

Original description

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).

Status

SIGNED

Call topic

HORIZON-CL4-2022-TWIN-TRANSITION-01-04

Update Date

18-01-2023
Geographical location(s)
Structured mapping
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Factories of the Future Partnership - Made in Europe Partnership

Made in Europe (MiE)
HORIZON-CL4-2022-TWIN-TRANSITION-01
HORIZON-CL4-2022-TWIN-TRANSITION-01-04: Intelligent work piece handling in a full production line (Made in Europe Partnership) (RIA)
C MANUFACTURING
C28 Manufacture of machinery and equipment n.e.c.
C28.2 Manufacture of other general-purpose machinery
C28.22 Manufacture of lifting and handling equipment
C30 Manufacture of other transport equipment
C30.3 Manufacture of air and spacecraft and related machinery
C30.31 Manufacture of civilian air and spacecraft and related machinery
Result items:

Production of large composite wings 

C32 Other manufacturing
C32.3 Manufacture of sports goods
H TRANSPORTATION AND STORAGE
H52 Warehousing, storage and support activities for transportation
H52.1 Warehousing and storage
H52.10 Warehousing and storage
Result items:

Perform logistics operations by autonomously picking and delivering components to the assembly station of elevators

Sportswear warehouse logistics and packaging

MiE KPI section - Impacts
Demonstrator showcasing human and technology complementarity
Demonstrator targeting the training the workforce in new technologies
MiE KPI section - Outcomes
Demonstrator showcasing artificial intelligence (AI) and data analytics tools’ uptake
Specific Objective 1: Excellent, responsive and smart factories & supply chains
R&I Objective 1.2: Scalable, reconfigurable and flexible first-time right manufacturing
HORIZON-CL4-2022-TWIN-TRANSITION-01-04: Intelligent work piece handling in a full production line (Made in Europe Partnership) (RIA)
R&I Objective 1.5: Advanced Manufacturing processes for smart and complex products
HORIZON-CL4-2022-TWIN-TRANSITION-01-04: Intelligent work piece handling in a full production line (Made in Europe Partnership) (RIA)
Horizon Europe
HORIZON.2 Global Challenges and European Industrial Competitiveness
HORIZON.2.4 Digital, Industry and Space
HORIZON.2.4.1 Manufacturing Technologies
HORIZON-CL4-2022-TWIN-TRANSITION-01
HORIZON-CL4-2022-TWIN-TRANSITION-01-04: Intelligent work piece handling in a full production line (Made in Europe Partnership) (RIA)