Advances in flexible manipulation through the application of AI-based techniques
Author: Ander Iriondo Azpiri
2023
Thesis director
Elena Lazkano, Facultad de Informática, EHU/UPV; Ander Ansuategi, Tekniker.
We are in the transition between Industry 4.0 and 5.0, where in addition to productivity, flexibility is also sought to adjust processes to specific customer needs.
Physicochemistry of non-immersion ultrasonic cleaning
Author: Jon Ander Sarasua
2023
Thesis director
Leire Ruiz, EHU/UPV y Estíbaliz Aranzabe, Tekniker
This thesis focuses on the study and scaling of a disruptive technology called "non-immersion ultrasonic cleaning".
Deep Learning Algorithms in Industry 4.0; Application of Surface Defect Inspection for Quality Control
Author: Vignesh Sampath
2023
Thesis director
Juan José Aguilar Martín, Universidad de Zaragoza; Iñaki Maurtua, Tekniker
This PhD thesis aims to develop an automated method for defect identification based on the magnetic particle technique using deep learning.
Contributions to time series analysis, modelling and forecasting to increase reliability in industrial environments
Author: Meritxell Gómez
2023
Thesis director
Basilio Sierra Araujo, Facultad de Informática, UPV/EHU; Susana Ferreiro, Tekniker
The integration of the Internet of Things in the industrial sector is considered a prerequisite for achieving intelligence in a company. To obtain this, AI systems with analytical and learning capabilities are required for the optimisation of industrial processes.
Plasma electrolytic oxidation technology for the development of high-performance coatings on cast Al-Si alloys
Author: Patricia Fernández López
2023
Thesis director
Dr. José Tomás San José Lombera, UPV/EHU y Dra. Sofía Alves, Tekniker
This Thesis has focused on the development of high-performance multifunctional PEO coatings on cast Al-Si alloys.
A generic multi-robot architecture for mobile manipulator robots and its integration in the smart factory
Author: Jon Martin
2023
Thesis director
Aintzane Armentia Díaz de Tuesta y Oscar Casquero Oyarzabal, EHU/UPV
Esta tesis se centra en dar solución a dos de las principales demandas de los sistemas de fabricación flexibles en el ámbito de los Robots Móviles de Manipulación (MMRs).