Now showing items 21-33 of 33

    Collaborative social robot navigation in accompanying and approaching tasks 

    Repiso Polo, Ely (Date of defense: 2020-09-23)

    Our society is evolving to include robots in our daily lives. Therefore, it is necessary to develop robots capable of collaborating with people to carry out daily tasks, for example: accompanying, searching, transporting, ...

    Bridging the gap between reconstruction and synthesis 

    Pumarola Peris, Albert (Date of defense: 2021-10-13)

    3D reconstruction and image synthesis are two of the main pillars in computer vision. Early works focused on simple tasks such as multi-view reconstruction and texture synthesis. With the spur of Deep Learning, the field ...

    Health-aware predictive control schemes based on industrial processes 

    Karimi Pour, Fatemeh (Date of defense: 2020-07-24)

    The research is motivated by real applications, such as pasteurization plant, water networks and autonomous system, which each of them require a specific control system to provide proper management able to take into account ...

    Geometric computer vision meets deep learning for autonomous driving applications 

    García López, Javier (Date of defense: 2021-05-17)

    This dissertation intends to provide theoretical and practical contributions on the development of deep learning algorithms for autonomous driving applications. The research is motivated by the need of deep neural networks ...

    Fashion discovery : a computer vision approach 

    Rubio Romano, Antonio (Date of defense: 2021-07-23)

    Performing semantic interpretation of fashion images is undeniably one of the most challenging domains for computer vision. Subtle variations in color and shape might confer different meanings or interpretations to an ...

    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 ...

    Lidar-based scene understanding for autonomous driving using deep learning 

    Vaquero Gómez, Víctor (Date of defense: 2020-02-25)

    With over 1.35 million fatalities related to traffic accidents worldwide, autonomous driving was foreseen at the beginning of this century as a feasible solution to improve security in our roads. Nevertheless, it is meant ...

    Control and management of energy storage systems in microgrids 

    Unnikrishnan Raveendran, Nair (Date of defense: 2020-07-23)

    The rate of integration of the renewable energy sources in modern grids have significantly increased in the last decade. These intermittent, non-dispatchable renewable sources, though environment friendly tend to be ...

    Robust navigation for industrial service robots 

    Deray, Jérémie (Date of defense: 2020-09-29)

    Robust, reliable and safe navigation is one of the fundamental problems of robotics. Throughout the present thesis, we tackle the problem of navigation for robotic industrial mobile-bases. We identify its components and ...

    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 ...

    Non-centralized optimization-based control schemes for large-scale energy systems 

    Ananduta, Wayan Wicak (Date of defense: 2019-12-17)

    Non-centralized control schemes for large-scale systems, including energy networks, are more flexible, scalable, and reliable than the centralized counterpart. These benefrts are obtained by having a set of local control!ers, ...

    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 ...

    Information metrics for localization and mapping 

    Vallvé Navarro, Joan (Date of defense: 2019-02-27)

    Decades of research have made possible the existence of several autonomous systems that successfully and efficiently navigate within a variety of environments under certain conditions. One core technology that has allowed ...