Programa de Doctorat en Automàtica, Robòtica i Visió
La Universitat Politècnica de Catalunya. Barcelona Tech (UPC) és una institució pública de recerca i d'educació superior en els àmbits de l'enginyeria, l'arquitectura i les ciències.
L’activitat dels seus campus i centres fan de la UPC un punt de referència i, en complicitat amb el teixit productiu, són agent i motor de canvi econòmic i social, en posar en valor la recerca bàsica i aplicada i transferir tecnologia i coneixement a la societat.
Els investigadors i investigadores de la UPC treballen des dels laboratoris i centres de recerca per augmentar la producció científica, valoritzar-la socialment a través de la transferència de resultats i continuar liderant projectes internacionals d’excel·lència, ja sigui a partir d’iniciatives pròpies o en col·laboració amb altres centres de recerca i universitats d’arreu del món.
Portal de la producció científica dels investigadors de la UPC.
Portal d'accés obert al coneixement de la UPC
Si sou doctor o doctora per la Universitat Politècnica de Catalunya i voleu publicar la vostra tesi a TDX, contacteu amb tdx@upc.edu. Per a més informació consulteu les preguntes més freqüents
Recent Submissions
Llista ítems afegits recenment
Reconocimiento del andar humano mediante técnicas de aprendizaje profundo
Burruel Zazueta, José Misael (Date of defense: 2025-10-10)
(English) The increase in crime and the limitations of traditional video surveillance systems to identify people non-intrusively in real time have prompted the search for new solutions in the field of security. In this ...
Functional safety for highly automated vehicles
Conejo Barceló, Carlos (Date of defense: 2025-07-21)
(English) The rapid advancement of autonomous vehicle technologies offers significant opportunities to improve road safety, but also introduces challenges to ensure compliance with established safety standards. This thesis ...
Understanding human intention for human-robot interaction
Domínguez Vidal, José Enrique (Date of defense: 2025-07-15)
(English) This doctoral thesis delves into the concept of intention in robotics, aiming to establish a comprehensive and practical definition while exploring its technical and social implications. The research begins by ...
Fault diagnosis and prognosis approach using data-driven structurally generated residuals
Fang, Xin (Date of defense: 2025-06-19)
(English) In this thesis, we will propose methods to combine structural analysis methods and data-driven techniques, extending the applicability of conventional model-based diagnosis methods and proposing an extension to ...
Automatic control for unmanned ground vehicles
Yang, Ruicong (Date of defense: 2025-04-22)
(English) This thesis explores advanced control strategies for trajectory tracking, state feedback, disturbance mitigation, and autonomous vehicle guidance across a range of dynamic systems. The research is divided into ...
Bio-inspired event-driven intelligence for motion estimation
Tian, Yi (Date of defense: 2025-05-19)
(English) Motion estimation problems can range from low degrees of freedom (DOF) ego-motion estimation to complex, high-DOF motion, which includes dense pixel displacement or optical flow. This information is essential for ...
State estimation, diagnosis and control using set-based approaches for LPV systems
Zhang, Shuang (Date of defense: 2025-04-25)
(English) Considering that Linear Parameter-Varying (LPV) technique has been demonstrated as an effective way to represent nonlinear systems, results concerning the design of observers and controllers in LPV framework ...
Advanced control strategies for the cathode module of automotive hydrogen fuel cell systems
Eldigair, Yousif (Date of defense: 2022-12-19)
(English) This industrial thesis work tackles primarily the challenges associated with the development of the cathode module and auxiliary cooling module for fuel cell electric vehicle applications. The development process ...
Foundations of ontology-based explainable robots
Olivares Alarcos, Alberto (Date of defense: 2024-12-18)
(English) A critical challenge in the design of robots that operate while interacting with humans is to ensure mutual understanding, which contributes to build reliable human-robot interactions. It is an arduous task since ...
End-to-end learning for wind turbine blades: from imagery data to defect repair recommendations
Pérez i Gonzalo, Raül (Date of defense: 2025-04-02)
(English) The European Union's (EU) reliance on external energy sources underscores the urgent need for energy security and affordability, driving the transition to renewable energy with wind power as a key renewable ...
Power control and voltage quality enhancement on inverter-based AC microgrids
Duarte Mejía, Josué Neftalí (Date of defense: 2024-11-06)
(English) Nowadays, the environmental concerns for conventional fossil fuel-based power generation are transforming the energy landscape into a more sustainable system. To this end, distributed generation (DG) units have ...
Research on signal and image denoising techniques
Wang, Chuansheng (Date of defense: 2024-07-30)
(English) This dissertation aims to investigate two crucial tasks in the field of signal and image processing: signal denoising and image enhancement. Firstly, for signal processing, we propose three innovative denoising ...
Fault diagnosis and fault-tolerant control of nonlinear dynamic systems using artificial intelligence techniques
Sanjuan Gómez, Adrián (Date of defense: 2021-11-04)
(English) This thesis attempts to reduce the gap between the approaches developed by researchers to build a fault tolerant system and their implementation in a real system. The most widespread methodologies are model-based ...
Modeling and control in open-channel irrigation systems
Conde Méndez, Gregory (Date of defense: 2021-12-10)
(English) This thesis is devoted to exploring existing research around modeling, control, and estimation strategies in OCIS, in order to identify improvement opportunities and propose new strategies that increase their ...
Contribution to prognostics and health management of complex systems. Application to energy systems
Al Mohamad, Ahmad (Date of defense: 2021-10-22)
(English) This thesis presents contributions to model-based Prognostics and Health Management (PHM) for online Remaining Useful Life (RUL) forecasting of degraded systems. The major issue in such a prognostics approach is ...
Robust economic model predictive control of smart grids
Nassourou, Mohamadou (Date of defense: 2021-09-13)
(English) This thesis proposes a Robust Economic Model Predictive Control (REMPC) design based on deterministic approach for optimizing economic costs of energy production and dispatch in smart electrical grids. Robust ...
Characterization of a novel HgCdTe focal plane array for ground and space astronomy through innovative infrared setups
Jiménez Rojas, Jorge Iván (Date of defense: 2023-06-14)
(English) Nowadays, mercury-cadmium-telluride (MCT) short-wave infrared (SWIR) detectors are widely used in cutting-edge space missions and ground-based telescopes. They take advantage of the fact that the dust and gases ...
Modeling and control for a fuel cell system
Xing, Yashan (Date of defense: 2021-07-01)
(English) Fuel cells are electrochemical devices to covert hydrogen and oxygen into electrical energy and heat. However, the degradation during the operation can reduce a fuel cell lifetime which is the major obstacle for ...
Automatic control advances in CPS security
Trapiello Fernández, Carlos (Date of defense: 2021-07-26)
(English) Cyber-physical systems (CPSs) constitute a new generation of control systems that seeks a better integration between computation and physical processes. However, the notable advances of these systems in terms of ...
Leak detection and localization in pipeline networks using machine learning and principal component analysis
Santos Ruiz, Ildeberto de los (Date of defense: 2021-06-11)
(English) This thesis presents a methodology to locate leaks in pipeline networks, with a focus on water distribution networks. Leak localization techniques using classifiers are proposed by associating the different classes ...



