Shaking HUB

Una comunidad abierta promovida por las Cooperativas de MONDRAGON que tiene como objetivo conectar y desarrollar el talento en Inteligencia Artificial para cambiar el mundo. Una comunidad para todas las personas interesadas en Inteligencia Artificial, desde estudiantes a profesionales que investigan o aplican IA en su trabajo.

Artifical Intelligence

The TFG-TFM MONDRAGON Sariak 2024 awards celebrates young talent and innovation at Inpaktuday

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The 3rd edition of the TFG-TFM MONDRAGON Sariak 2024 awards has been a complete success! This year we have broken records: 305 works presented from 57 universities and 52 finalists sharing their ideas and talent in an incredible day.

The Soraluce Factory Portal was the perfect place for a day that started with visits to the Laboral Kutxa, Orbea and Fagor Arrasate cooperatives. The finalists not only learned about the MONDRAGON cooperative model, but also participated in very interesting group dynamics with representatives from Fagor Taldea, Orbea, Laboral Kutxa, Eika, Ikerlan, DanobatGroup and MONDRAGON.

In the afternoon came the most exciting moment: the awards ceremony, where 10 exceptional projects were recognized in key areas such as digital transformation, sustainability, mobility and social innovation.

Award-winning works

In this edition, projects that address key challenges of the present and future have been highlighted. These are the winning works:

From the Danobatgroup prize for digital change: 

From the MONDRAGON prize for Transformation based on people: 

  • 1. saria: Natale Armendariz. The inclusive everyday essentials | Sex toy design for people with motor disabilities affecting the upper limbs (Mondragon Unibertsitatea). 
  • 2. saria: Marta Vicente Navarro. Desarrollo de una herramienta basada en lenguaje de apoyo a la terapia basada en reminiscencia (Universidad Complutense de Madrid). 

From the Fagor Taldea prize for energy-climate change: 

  • 1. saria: Ane Elizetxea Navarro. PEM elektrolizatzaileen degradazio eta hibridazio azterketa: hidrogeno berdearen sorkuntza itsasoko energia bidez (Mondragon Unibertsitatea).
  • 2. saria: Juan Pedrero Alegría. Diseño de soluciones de flexibilidad para escenarios de alta electrificación urbana (Universidad Internacional de La Rioja).

From the Orbea prize for healthy, sustainable mobility: 

  • 1. saria: Iñigo Azcárate Urrutia. Mode Choice Modeling for Sustainable Regional Commuting using Machine Learning: A Case Study in Gipuzkoa, Spain (Universidad de Navarra).
  • 2. saria: Mercè Amich Vidal. Clean vehicle ownership: implications for effective policy interventions (Euskal Herriko Unibertsitatea -UPV/EHU-).

From the Laboral Kutxa prize for changing finance to change society: 

  • 1. saria: José Antonio Luque Salguero. Optimización global de modelos de Media-Varianza-Sostenibilidad multiagencia para gestión de carteras (Universidad de Málaga).
  • 2. saria: Maria Jose Preciado Leyva. Una aportación a la sostenibilidad social del seguro de salud en España. Seguro de asistencia sanitaria con reservas de envejecimiento (Universidad Carlos III de Madrid). 

Special prizes

From the IKERLAN prize for the most innovative work: Marta Vicente Navarro. Desarrollo de una herramienta basada en lenguaje de apoyo a la terapia basada en reminiscencia (Universidad Complutense de Madrid).

From the EIKA prize for the best work in Basque: Ane Elizetxea Navarro. PEM elektrolizatzaileen degradazio eta hibridazio azterketa: hidrogeno berdearen sorkuntza itsasoko energia bidez (Mondragon Unibertsitatea).

At Shaking HUB we want to thank all the people who have made this special day possible. Thanks to you, the future is built with more strength, creativity and commitment.

Do you want to relive the best moments? Here you have the complete gallery! 👉 Inpaktuday.

FATECO Project: Improvement of the fatigue performance of automotive components through innovative ecofriendly finishing operations

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FATECO project is led by Mondragon Goi Eskola Politeknikoa (MGEP) and its main objective is to improve the fatigue and tribology performance of key automotive components.

The importance of this project lies in improving the surface integrity (SI) of these components, which will contribute to reducing the probability of failures and, consequently, fatal accidents related to the failure of parts in vehicles.

In addition, the project uses innovative approaches, such as the development of a machine learning system based on neural networks that will predict the behavior of components, eliminating the need for costly and lengthy tests.

One of FATECO‘s most notable achievements is the complete elimination of lubricants in some of the new finishing operations, making the process 100% ecological and minimizing the environmental impact.

Wavetailor Project: Modular laser sources for sustainable production of short personalized production series

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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

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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

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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, Gizelís 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.

Olaia Antero Sanchez

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My work at Lortek focuses on automated part inspection, more specifically, the development of automatic defect detection methods in inductive thermography. To do this, I usually use different models from both machine learning and deep learning, and I mostly use them for anomaly detection, segmentation or object detection.