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Artificial Intelligence based CLinical decIsion support system for post-stroKe spasticity (ref PID2024-155343OB-I00)

The main objective of this project is the design and development of an intelligent decision support system based on machine learning to identify the muscles affected by spasticity as well as objectively quantify the level of deterioration in both the upper and lower limbs. The approach is focused on stroke patients and aims to minimize the invasiveness of the assessment by using high-definition images of the limbs of the patient as input of a HPD system.

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AURRERA: Automatic generation of multiform geometry trajectories in new generation robotics (KK-2024/00024)

The aim of the AURRERA project is to generate a paradigm shift in advanced manufacturing with robots to provide flexibility to generic installations through the automatic generation of trajectories in product manufacturing processes regardless of their geometry. In order to achieve the main objective of the project, the AURRERA consortium has defined the following specific objectives that will lead to different particular results: - Develop advanced algorithm for automatic trajectory generation. - Implement...

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Universal components for Modular Robotics for Space, Industrial and Medical Applications (UMOR).

  • Lead researchers: Itziar Cabanes Axpe - (02/01/2023 - 31/12/2025)
  • Funding body: SENER AEROESPACIAL, S.A.

El objetivo principal del proyecto UMOR es la investigación en nuevos componentes modulares y soluciones tecnológicas para los sistemas robóticos colaborativos de precisión para su aplicación en entornos críticos en el espacio, la industria y la sanidad, que contribuyan al reconocimiento de Euskadi como referente de los sistemas robóticos colaborativos de precisión del futuro. De esta manera, se logrará capacitar a toda la cadena de valor, con el fin de...

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