EHU ViSens | Tesis por Línea

Research Areas :: Thesis

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Thesis by research area

Intelligent manufacturing and industry

Ended

Real-time implementation of...

Thesis Data

Real-time implementation of low-switching frequency modulation strategies for active power filters, Irati Ibañez (2024). International Doctorate Distinction. Industrial Doctorate Distinction. Supervised by Asier Zubizarreta.
A Hyper-heuristic Inspired...

Thesis Data

A Hyper-heuristic Inspired Methodology for Failure Prediction in the Context of Industry 4.0, Adriana Navajas (2023). Industrial Doctorate Distinction. Supervised by Eva Portillo Pérez and Diana Manjarres.
Design and Development of...

Thesis Data

Design and Development of Soft-sensors in the Context of Oil and Gas 4.0: an AutoML Approach based on Machine Learning Feature Engineering, Iratxe Niño (2022). Doctoral Dissertation Award. Industrial Doctorate Distinction. Supervised by Eva Portillo Pérez and Itziar Landa.
Diamantagailuaren Higaduraren...

Thesis Data

Diamantagailuaren Higaduraren Azterketa Esperimentala Artezketa Prozesuan, Xabier Cearsolo (2017). Supervised by Itziar Cabanes Axpe and José Antonio Sánchez Galíndez.

Collaborative and intelligent Robotics

Ended

Dual Artificial Potential...

Thesis Data

Dual Artificial Potential Field (d-APF) based control for Safe and Efficient Robotic Operation on Industrial Collaborative Scenarios, Diego Rogriguez (2023). International Doctorate Distinction. Industrial Doctorate Distinction. Supervised by Itziar Cabanes Axpe and Gorka Sorrosal.
Position-force control...

Thesis Data

Position-force control strategies for high-performance applications of parallel robots (Estrategias de control posición-fuerza para aplicaciones de alto rendimiento de los robots paralelos), Pablo Bengoa Ganado (2018). Supervised by Itziar Cabanes Axpe and Asier Zubizarreta.
Advanced control strategies...

Thesis Data

Advanced control strategies for parallel robotics (Estrategias de control avanzado para robótica paralela), Asier Zubizarreta (2010). Supervised by Itziar Cabanes Axpe and Marga Marcos.

Ongoing

Cooperative robotics for...

Thesis Data

Cooperative robotics for flexible production cells. An advanced intelligent control approximation, Fran Huertos Izquierdo (ongoing). Industrial Doctorate Distinction. Supervised by Itziar Cabanes Axpe.

Applications in Biomedical Engineering

Ended

Intelligent Systems for the...

Thesis Data

Intelligent Systems for the Functional Assessment of Multiple Sclerosis Patients using Sensorized Tips , Janire Otamendi Jauregi (2025). Supervised by Asier Zubizarreta.
Intelligent sitting postural...

Thesis Data

Intelligent sitting postural diagnosis system for people with low mobility, Patrick Vermander García (2024). International Doctorate Distinction. Supervised by Itziar Cabanes Axpe and Aitziber Mancisidor Barinagarrementeria.
Intelligent system for the...

Thesis Data

Intelligent system for the functional diagnosis of gait in patients of multiple esclerosis, Asier Brull Mesanza (2022). International Doctorate Distinction. Supervised by Itziar Cabanes Axpe and Asier Zubizarreta.
Development of an...

Thesis Data

Development of an Instrumented Crutch for Quantitative Gait Monitoring and Diagnosis of Patients with Multiple Sclerosis, Iñigo Sesar Gil (2021). Supervised by Itziar Cabanes Axpe and Asier Zubizarreta.

Automated Driving

Ended

Design and validation of...

Thesis Data

Design and validation of decision and control systems in automated driving, Jose Angel Matute Peaspan (2021). Industrial Doctorate Distinction. Supervised by Asier Zubizarreta.
Torque Vectoring Control...

Thesis Data

Torque Vectoring Control Strategies for Electric Vehicles, Alberto Parra Delgado (2020). International Doctorate Distinction. Supervised by Asier Zubizarreta.
Improvement of energy...

Thesis Data

Improvement of energy efficiency of electric vehicles by predictive control systems for driving assistance, Sara Mata Cantón (2018). Supervised by Asier Zubizarreta and Charles Pinto Cámara.

Research Areas :: Thesis

Thesis Data