In a world where data-driven decisions have a huge impact on the environment, society and business, it is essential to have effective tools to leverage this information. Critical areas such as crisis management, public safety or cybersecurity increasingly depend on big data for decision making.
ExtremeXP, led by IDEKO, responds to this need with a new analysis approach: experimentation-based analytics. This project puts the end user at the center, facilitating decision-making based on varied and complex data through a participatory approach.
ExtremeXP integrates interactive visualization and explainability techniques to validate results and ensure transparency in processes. Its modular framework includes an experimentation engine that models, plans and manages complex analytical workflows, enabling more reliable decision making.
With ExtremeXP, IDEKO leads the way towards a future where advanced analytics is more accessible, transparent and reliable in critical contexts. has context menu
Meet the jury for the Premios TFG-TFM MONDRAGON Sariak 2024 awards
The jury for the Premios TFG-TFM MONDRAGON Sariak 2024 awards has already been assigned! 🎉
These awards seek to recognize the most innovative and brilliant projects that address the challenges of the 21st century. This year, we have a luxury jury, made up of experts who will evaluate each of the categories:
- DANOBATGROUP prize for digital change: artificial intelligence, automation and robotics.
- MONDRAGON prize for Transformation based on people: talent, diversity and inclusion.
- FAGOR Taldea prize for energy-climate change: decarbonisation, the circular economy and climate neutrality.
- ORBEA prize for healthy, sustainable mobility: ecodesign, digitalisation and well-being.
- LABORAL Kutxa prize for changing finance to change society.
And don’t forget that we have two extra super special awards: Ikerlan Award for the most innovative project and Eika Award for the best project in Basque. To see who is part of the jury for these awards, click here.
We would also like to remind you that registration is open until September 30th. So don’t miss the opportunity to participate and show your talent!
Wavetailor Project: Modular laser sources for sustainable production of short personalized production series
The WAVETAILOR Project has been launched with the aim of revolutionizing the manufacturing and assembly of complex multi-material components. Focused on two industrial scenarios, the project addresses directed energy deposition for a hydrogen-powered hypersonic aircraft and powder bed fusion for an urban delivery drone. WAVETAILOR seeks to overcome challenges related to defect-free manufacturing, sustainability and first-time manufacturing precision.
This ambitious project has the collaboration of 11 entities: Lortek S.Coop., Joanneum Research, Coventry University, Europa no Luz, Aditivo Prima, Z Prime GmbH, Destinus España SL, Aerotecnic Metallic SL, Morfica SRL, the Austrian Agency . of Energy and Tematys. Each of these partners brings their experience and knowledge to drive WAVETAILOR‘s success.
WAVETAILOR‘s objectives are clear and ambitious. First, a flexible and energy-efficient photonic setup will be developed based on a modular diode laser source and multi-wavelength optics. This configuration will allow full reconfigurability, optimizing the use of energy and materials in the manufacturing of specific use cases.
Additionally, zero defect manufacturing (ZDM) and zero waste (ZDW) manufacturing strategies will be implemented at the assembly level, controlling the compatibility of complex multi-material products at various manufacturing levels. To do this, a digital twin at the plant level and a digital twin at the cloud level will be used, facilitating the automatic evaluation of the design of components and assemblies.
The expected impact of WAVETAILOR is significant. It is estimated that, by achieving its objectives, the project will reduce energy consumption by 200 MWh and reduce waste by 923 kg, while production costs will be reduced by between 50% and 65%. A specific sustainability study throughout the project will be responsible for demonstrating these advances.
Teaming.ai Project: Human-AI collaboration for manufacturing of the future
The fourth industrial revolution, known as Industry 4.0, has brought about an unprecedented transformation in the way we manufacture products and services. However, lack of flexibility remains a significant obstacle. The TEAMING.AI project, led by IDEKO, seeks to overcome this challenge by integrating artificial intelligence (AI) systems that work closely with humans.
TEAMING.AIis presented as a revolutionary platform that promotes cooperation between humans and AI, with the aim of maintaining and evolving intelligent manufacturing systems. This project aims to achieve a significant milestone in the personalization of products and services, adapting AI technologies to meet the individual needs of each manufacturing process.
The essence of TEAMING.AI lies in its human-centric approach. Instead of relegating the worker to the background, this platform ensures that humans maintain a crucial role in the industrial landscape of the future. Through a new teamwork framework, the strengths of both humans and AI will be maximized, optimizing manufacturing processes.
One of the fundamental pillars of this project is the optimization of manufacturing processes. By enabling close collaboration between humans and AI, more flexible and adaptable solutions can be implemented to the changing needs of the industry. Additionally, the project emphasizes compliance with ethical and safety guidelines, ensuring that AI adoption is carried out in a responsible and sustainable manner.
Implementing TEAMING.AI promises a number of significant benefits.
- Certifiable AI for human autonomy: the project seeks to develop AI systems that can be certified, guaranteeing their safety and effectiveness in a collaborative work environment with humans.
- Better adoption and acceptance of AI: by effectively integrating humans into AI-driven processes, greater acceptance and adoption of these technologies in the industry is expected.
- Reduction in installation time and maintenance cost: efficient collaboration between humans and AI will optimize installation times and reduce costs associated with the maintenance of manufacturing systems.
- More flexible production processes: Flexibility in production processes is key to adapting to changing market demands. This project will facilitate this adaptability, allowing companies to respond quickly to new opportunities and challenges.
TEAMING.AI is not only marking a milestone in the evolution of Industry 4.0, but is also redefining the role of humans in the modern industrial environment. With a focus on ethical and safe collaboration between humans and AI, this project promises to transform smart manufacturing, making it more flexible, efficient and personalized.
COROB Project: Cooperative robotics powered by Artificial Intelligence and Data for flexible production cells
COROB is an innovative project led by Lortek, which is leading the way towards industry 5.0. In addition to Lortek, the following companies make up the project: LMS, GizelĂs Robotics, Funding Box, Netcompany-Intrasoft, Eindohoven University of Technology eta Digital for Planet.
COROB fosters the development of intelligent cooperative multi-robot systems for flexible manufacturing and reconfiguration. This project is emphasizing the human factor. This project includes cutting-edge advances in robotics, inspection, monitoring, artificial intelligence control. These solutions not only increase efficiency and flexibility, but also meet the changing needs of modern industry.
The COROB consortium, led by Lortek, will immerse itself in the demonstration of these advances through two semi-industrial pilots. Here the viability and potential of this innovative proposal will be demonstrated. COROB is committed to leading the way into a new era of manufacturing where adaptability and customization will be the norm.
White paper of “Artificial Intelligence in Manufacturing”
White paper is prepared by the Artificial Intelligence in Manufacturing Network – AIM-NET, both IDEKO and MONDRAGON Corporation are part of this Community. This paper is entitled “Artificial Intelligence in Manufacturing”. It’s main objective is to report the use of Artificial Intelligence (AI) in European manufacturing, and its potential to enhance competitiveness and technological leadership in the future.
The paper is based on research conducted by the Artificial Intelligence in Manufacturing NETwork (AIM-NET), which represents the viewpoint of the manufacturing community on the achievements and challenges of AI solutions. The document covers topics such as AI in manufacturing processes, robots, machines, and operations support in manufacturing, and AI in manufacturing systems. It also includes discussions on cross-cutting aspects such as regulation, education, systems engineering, and data augmentation. The paper also presents the maturity achieved TRL levels of existing AI-based applications in manufacturing, typical KPIs used to assess performance, and barriers and limitations to wide adoption. It also provides a roadmap for future work on AI, with efforts needed in short-term and long-term time horizons. Overall, the paper provides a comprehensive overview of the current status and future vision of AI in manufacturing for policy makers, practitioners, and researchers.
