Browsing Programa de Doctorat en Automàtica, Robòtica i Visió by Title

3D Partial scans models for people recognition with a RGB-D sensor

Trejo Ramírez, Karla Andrea (Date of defense: 2020-01-22)

Research developed in this thesis is motivated by a vision of a future where social activities and personalized services are delivered in intelligent environments, entering a new era of more natural and wholesome human-machine ...

3D pose estimation in complex environments

Peñate Sánchez, Adrián (Date of defense: 2017-04-07)

Although there has been remarkable progress in the pose estimation literature, there are still a number of limitations when existing algorithms must be applied in everyday applications, especially in uncontrolled environments. ...

A contribution to the ranking and description of classifications

Sánchez Hernández, Germán (Date of defense: 2013-09-13)

This thesis presents a novel and complete fuzzy multi-criteria decision making (MCDM) methodology. This methodology is specifically designed for selecting classifications in the framework of unsupervised learning systems. ...

A socio-technical approach for assistants in human-robot collaboration in industry 4.0

Chacón Encalada, Luis Alejandro (Date of defense: 2022-07-08)

The introduction of technologies disruptive of Industry 4.0 in the workplace integrated through human cyber-physical systems causes operators to face new challenges. These are reflected in the increased demands presented ...

A virtual environment to evaluate and predict recovery of human hand motion post-stroke

Padilla Magaña, Jesús Fernando (Date of defense: 2022-11-18)

(English) The Action Research Arm Test (ARAT) is a measurement tool to assess post-stroke upper extremities motor function. However, ARAT scoring can be subjective and limited only to determining performance quality. ...

Active power sharing and frequency regulation in inverter-based islanded microgrids subject to clock drifts, damage in power links and loss of communications

Rosero Chandi, Carlos Xavier (Date of defense: 2020-02-06)

Microgrids (MGs) are small-scale power systems containing storage elements, loads and distributed generators that are interfaced with the electric network via power electronic inverters. When an MG is in islanded mode, its ...

Adapting robot behavior to user preferences in assistive scenarios

Canal Camprodon, Gerard (Date of defense: 2020-03-09)

Robotic assistants have inspired numerous books and science fiction movies. In the real world, these kinds of devices are a growing need in amongst the elderly, who while life continue requiring more assistance. While ...

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 ...

Advanced digital resonant control techniques for grid-connected voltage source converters

Orellana Barceló, Marcos (Date of defense: 2019-02-06)

It is a fact that the presence of power distributed generation sources in the electrical sector is growing exponentially worldwide. This can mainly be explained by the increase of renewable energy production, which involves ...

Advanced energy management/control strategies for smart manufacturing systems

Diaz Castañeda, Jenny Lorena (Date of defense: 2020-03-27)

This thesis is devoted to the study of the optimisation-based control techniques for the design of control strategies that contribute to improve the energy efficiency of smart manufacturing systems. Currently, manufacturing ...

Advanced wind farm control strategies for enhancing grid support

Siniscalchi Minna, Sara (Date of defense: 2019-12-20)

Nowadays, there is rising concern among Transmission System Operators about the declining of system inertia due to the increasing penetration of wind energy, and other renewable energy systems, and the retirements of ...

Advances in gain-scheduling and fault tolerant control techniques

Rotondo, Damiano (Date of defense: 2016-04-01)

This thesis presents some contributions to the state-of-the-art of the fields of gain-scheduling and fault tolerant control (FTC). In the area of gain-scheduling, the connections between the linear parameter varying (LPV) ...

Advances in nonlinear observer design for state and parameter estimation in energy systems

Cecilia Piñol, Andreu (Date of defense: 2022-04-19)

(English) Critical energy challenges are forcing a rapid modification of the current energy infrastructure. lndeed, larger renewable energy penetration, more distributed generation and storage, and higher degree of autonomy ...

Advances in planning and control for autonomous vehicles

Alcalá Baselga, Eugenio (Date of defense: 2020-03-24)

This thesis presents some advances to the state of the art of state estimation, automatic control and trajectory planning fields applied to autonomous vehicles. Such contributions have a common aspect throughout the thesis, ...

Advances in state estimation, diagnosis and control of complex systems

Wang, Ye (Date of defense: 2018-10-22)

This dissertation intends to provide theoretical and practical contributions on estimation, diagnosis and control of complex systems, especially in the mathematical form of descriptor systems. The research is motivated by ...

Agile aerial manipulation: an approach based on full-body dynamics and model predictive control

Martí Saumell, Josep (Date of defense: 2024-04-30)

(English) Aerial manipulators, which commonly take the form of multirotors with attached robotic limbs, primarily employ their limbs for pure manipulation tasks and do not rely on them during aerial locomotion. Besides, ...

AI-enhanced cyber-physical systems in automotive industry : integration of CPS and application artificial intelligence technologies in automotive paint shop process

Sanz Gràcia, Elma (Date of defense: 2023-11-09)

(English) Transformation of industrial processes to embrace Industry 4.0 revolution needs to use data: valuable data from different data sources, labelled data, semantic layers, metadata to understand better, universes, ...