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organization

AIRBUS SAS

Country: France
80 Projects, page 1 of 16
  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 645097
    Overall Budget: 4,244,480 EURFunder Contribution: 4,244,480 EUR
    Partners: AIRBUS GROUP SAS, INRIA, CNRS, AIRBUS SAS, UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA, DLR

    COMANOID investigates the deployment of robotic solutions in well-identified Airbus airliner assembly operations that are laborious or tedious for human workers and for which access is impossible for wheeled or rail-ported robotic platforms. As a solution to these constraints a humanoid robot is proposed to achieve the described tasks in real-use cases provided by Airbus Group. At a first glance, a humanoid robotic solution appears extremely risky, since the operations to be conducted are in highly constrained aircraft cavities with non-uniform (cargo) structures. Furthermore, these tight spaces are to be shared with human workers. Recent developments, however, in multi-contact planning and control suggest that this is a much more plausible solution than current alternatives such as a manipulator mounted on multi-legged base. Indeed, if humanoid robots can efficiently exploit their surroundings in order to support themselves during motion and manipulation, they can ensure balance and stability, move in non-gaited (acyclic) ways through narrow passages, and also increase operational forces by creating closed-kinematic chains. Bipedal robots are well suited to narrow environments specifically because they are able to perform manipulation using only small support areas. Moreover, the stability benefits of multi-legged robots that have larger support areas are largely lost when the manipulator must be brought close, or even beyond, the support borders. COMANOID aims at assessing clearly how far the state-of-the-art stands from such novel technologies. In particular the project focuses on implementing a real-world humanoid robotics solution using the best of research and innovation. The main challenge will be to integrate current scientific and technological advances including multi-contact planning and control; advanced visual-haptic servoing; perception and localization; human-robot safety and the operational efficiency of cobotics solutions in airliner manufacturing.

  • Open Access mandate for Publications
    Funder: EC Project Code: 690802
    Overall Budget: 1,759,740 EURFunder Contribution: 1,759,740 EUR
    Partners: University of Stuttgart, Delft University of Technology, AIRBUS GROUP SAS, EASN-TIS, AIRBUS SAS, DLR

    The main objectives are to propose R&D activity to reduce cost and increase ramp up production of composite parts for structural application on aerospace products. These objectives are fully in line with objectives of the call MG1.8. European partners consortium is composed with end user (AIRBUS Group) and research laboratories (DLR, Stuttgart University, Delft University) and a dissemination expert partner (EASN). All selected partners have a strong experience with aerospace research activity. To fulfill the proposal objectives, the main technical topics that will be addressed are new low cost materials, new efficient heating concepts for composite curing, new forming process for large and thick parts, new low cost assembly processes, new environment around the mold (reusable bagging, reusable de-molding agent) and out of autoclave manufacturing concepts. Certification cost reduction for new issues such as sparking characterization during lightning strike impact will also be addressed. As one of the key points of this project is to propose new low cost concepts for composite part production, a specific workpackage will be dedicated to cost analysis of developed solutions and comparison with existing state of the art cost of composite parts. Most promising results will be integrated in a composite validation elements produced by the partners to give more credibility to the results. To get the maximum outputs from this project, the activity is distributed between different partners according to their expertise on the topic they will address. We have an important result exchange phase during the validation element definition and manufacturing activity. Globally for the developed technologies a TRL between 4 and 5 is foreseen at the end of EFFICOMP project.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 101070149
    Overall Budget: 3,798,280 EURFunder Contribution: 3,798,280 EUR
    Partners: UNIBO, AIRBUS SAS, Université de Toulouse, Saarland University, SCISPORTS B.V., UCL, OPTIT SRL

    Planning and scheduling (P&S) is a core area of AI. Its aim is to build systems that assist humans in planning, organising and optimising courses of action to achieve complex objectives. Despite the pressing need for decision-support systems for P&S applications in industry and public services, current approaches do not satisfy essential properties of trustworthy AI, such as transparency, explainability, robustness, safety and scalability. TUPLES is a 3 year project aiming to obtain scalable, yet transparent, robust and safe algorithmic solutions for P&S. The cornerstones of our scientific contributions will be (1) combining symbolic P&S methods with data-driven methods to benefit from the scalability and modelling power of the latter, while gaining the transparency, robustness, and safety of the former and (2) developing rigorous explanations and verification approaches for ensuring the transparency, robustness, and safety of a sequence of interacting machine learned decisions. Both of these challenges are at the forefront of AI research. We will demonstrate and evaluate our novel and rigorous methods in a laboratory environment, on a range of use-cases in manufacturing, aircraft operations, sport management, waste collection, and energy management. Our results also include practical guidelines derived from the lessons learnt in this process, and open-source software tools and test environments enabling the human-centered development and assessment of trustworthy P&S systems. Expected outcomes include increased productivity, decreased environmental footprint and the empowerment of workers in the above sectors. These could translate into huge economic, environmental and social impacts if trustworthiness ends up driving mass adoption of P&S. The TUPLES consortium includes world-leading researchers in several fields of AI (P&S, constraints, machine learning, explanations), humanities and social sciences (psychology, law, ethics), and experts of their applications.

  • Open Access mandate for Publications
    Funder: EC Project Code: 765355
    Overall Budget: 3,947,610 EURFunder Contribution: 3,947,610 EUR
    Partners: TBS, IAB, AIRBUS SAS, Cranfield University, University of Bamberg, University of Vaasa, VUA, CBS

    Promoting labour mobility across Europe is a central objective of the Europe 2020 Strategy and it aims to tackle increasing labour and skill shortages in the EU. Cross-border labour mobility is expected to benefit both individual citizens, employers and the aggregate economy. In addition, intra-EU mobility is a means to foster European integration. Although migration into OECD countries increases, driven largely by people moving within the EU, migration into and within Europe is still short of target levels. Despite a favourable legal framework for mobility, migrants still face a wide range of problems and obstacles that hamper cross-border labour mobility. Employment prospects for immigrants are below those of natives and overqualification, i.e. employment below skill levels, is widespread in most European countries. Consequently, the growth potential of immigrants is far from realised. Little is known about transnational mobility patterns and the length of migration episodes as well as about retention processes of foreign employees. There is considerable scope to make existing labour mobility more efficient and beneficial for all parties involved. GLOMO’s focus is on global mobility into EU countries and within the EU and its impact on careers. The policy making white papers and research suggest that the future Europe will witness even higher and more natural mobility. To assure that Europe is ready for it, our objectives are (a) to systematically generate knowledge about the mobility phenomenon and its implications (success factors, effects and added value); (b) provide trainings to (further) develop early-stage and senior researchers understanding the complex multidisciplinary phenomenon of mobility, and (c) suggest relevant implications for individuals, organisations, the European societies and economies. The joint research and training programme will be conducted within an interdisciplinary and intersectoral network of experts in the field.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 675919
    Overall Budget: 2,080,160 EURFunder Contribution: 2,080,160 EUR
    Partners: Swansea University, AIRBUS SAS, SIEMENS PLC, ECN, ESI GROUP, UPC, AIRBUS GROUP SAS, VW AG

    “AdMoRe: Empowered decision-making in simulation-based engineering: Advanced Model Reduction for real-time, inverse and optimization in industrial problems” aims at providing in-depth training of Early Stage Researches (ESRs) in the development and application of state-of-the-art computational models and numerical methods to solve cutting-edge engineering problems. The main driving factors of all the beneficiaries are reduced order modeling techniques for real-time, inverse and optimization problems. In fact, these issues are seen by industry as a major asset to increase performance and competitiveness. The ultimate goal is to produce the next generation of European research engineers, leaders in the use of these methodologies for industry related problems. To achieve the ETN objectives, AdMoRe is based on training-through-research of ESRs with personalized frontier-research projects and active participation in network activities (viz. industrial placements, AdMoRe schools, conferences, dissemination, organization of events). Training will involve multi-disciplinary modeling (i.e. solids, fluids, structures, electromagnetics, acoustics), inter-disciplinary modeling (i.e. fluid-structure interaction, electro-magneto-mechanics, thermo-mechanics, aerodynamic noise) and new emerging scientific fields (i.e. geometrically enhanced finite elements/volumes, reduced order techniques, validation…), with a highlighted industrial edge bringing necessary transversal skills (i.e. through active involvement of the industrial partners). Furthermore, ESRs will be trained to develop core entrepreneurial skills to successfully move ideas into commercial practice through a series of transversal-entrepreneurship modules, as part of their training. The active involvement of industrial partners in AdMoRe ensures that both the research development and the ESR training will deliver research engineers that will be able to lead computer modeling in European industry and enterprise.