AssAssiNN | Development of a multifunctional system for complex aerostructures ASSembly, ASSisted by Neural Network

Summary
In today’s workplace, the increasing use of new technologies such as Artificial Neural NeIn today’s workplace, the increasing use of new technologies such as Artificial Neural Networks (ANN) in Artificial Intelligence (AI), Mixed and Augmented Reality (MR/AR) and Collaborative Robotic (Co-Robot) is helping to improve the productivity of many industries. Therefore, a future aircraft factory would be incomplete if essential technologies are not considered. It is, therefore, necessary to innovate the assembly and quality control processes of aerostructures taking advantage of the new support of these new technologies. This will help to achieve higher efficiency and quality in aircraft production and to reduce the risk of failures due to manual activities to zero.
The main objective of the ASSASSINN project is to develop and validate a robust multifunctional assembly cell able to assist manual activities as the installation of typical fuselage systems and equipment, including cabling through the cabin structures or the application of sealant.This cell will guide the worker using Mixed and Augmented Reality during the assembly and inspection processes. The worker will be assisted by a Co-Robot while Artificial Intelligence algorithm based on Neural Networks will check the quality of the results.
The solution proposed by ASSASSINN will take into consideration the driver factors indispensable for the industrialization: increased structural integration, reduced total costs and structural weight, enhanced multifunctional materials, reduced environmental impact and extended duration of aircraft life.
The project counts with a strong consortium composed of 3 different partners with complementary profiles and large expertise: two research centers, CEIT and SUPSI, with a background and expertise in MR/AR, robotics and artificial intelligence; and an aeronautic manufacturing engineering, HB Technology, who is strongly consolidated in the aircraft production and assembly sector.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/886977
Start date: 01-07-2020
End date: 31-12-2022
Total budget - Public funding: 1 005 677,00 Euro - 899 252,00 Euro
Cordis data

Original description

In today’s workplace, the increasing use of new technologies such as Artificial Neural NeIn today’s workplace, the increasing use of new technologies such as Artificial Neural Networks (ANN) in Artificial Intelligence (AI), Mixed and Augmented Reality (MR/AR) and Collaborative Robotic (Co-Robot) is helping to improve the productivity of many industries. Therefore, a future aircraft factory would be incomplete if essential technologies are not considered. It is, therefore, necessary to innovate the assembly and quality control processes of aerostructures taking advantage of the new support of these new technologies. This will help to achieve higher efficiency and quality in aircraft production and to reduce the risk of failures due to manual activities to zero.
The main objective of the ASSASSINN project is to develop and validate a robust multifunctional assembly cell able to assist manual activities as the installation of typical fuselage systems and equipment, including cabling through the cabin structures or the application of sealant.This cell will guide the worker using Mixed and Augmented Reality during the assembly and inspection processes. The worker will be assisted by a Co-Robot while Artificial Intelligence algorithm based on Neural Networks will check the quality of the results.
The solution proposed by ASSASSINN will take into consideration the driver factors indispensable for the industrialization: increased structural integration, reduced total costs and structural weight, enhanced multifunctional materials, reduced environmental impact and extended duration of aircraft life.
The project counts with a strong consortium composed of 3 different partners with complementary profiles and large expertise: two research centers, CEIT and SUPSI, with a background and expertise in MR/AR, robotics and artificial intelligence; and an aeronautic manufacturing engineering, HB Technology, who is strongly consolidated in the aircraft production and assembly sector.

Status

CLOSED

Call topic

JTI-CS2-2019-CFP10-AIR-02-85

Update Date

27-10-2022
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Horizon 2020
H2020-EU.3. SOCIETAL CHALLENGES
H2020-EU.3.4. SOCIETAL CHALLENGES - Smart, Green And Integrated Transport
H2020-EU.3.4.5. CLEANSKY2
H2020-EU.3.4.5.4. ITD Airframe
H2020-CS2-CFP10-2019-01
JTI-CS2-2019-CFP10-AIR-02-85 Development of a multifunctional system for complex aerostructures assembly, assisted by neural network softwares