Recent Submissions

  • First results in leak localization in water distribution networks using graph-based clustering and deep learning 

    Romero, Luis; Blesa Izquierdo, Joaquim; Puig Cayuela, Vicenç; Cembrano Gennari, Gabriela; Trapiello Fernández, Carlos (2020)
    Conference report
    Open Access
    This paper presents a methodology for the localization of leaks in water distribution networks (WDNs) by means of the combination of a deep learning (DL) approach and a graph-based clustering technique. A data set for all ...
  • PEMFC state and parameter estimation through a high-gain based adaptive observer 

    Cecilia Piñol, Andreu; Serra, Maria; Costa Castelló, Ramon (2020)
    Conference lecture
    Open Access
    This work presents the design of an adaptive observer to estimate the cathode catalytic layer's water content of a polymer electrolyte membrane fuel cell and some of the parameters related to its water dynamics. However, ...
  • Input design for active dectection of integrity attacks using set-based approach 

    Trapiello Fernández, Carlos; Puig Cayuela, Vicenç (2020)
    Conference report
    Open Access
    This paper presents the design of an input sequence in order to actively guarantee detectability of integrity attacks. The design of the input sequence is formulated as an optimization problemwhere the performance ...
  • Contextual policy search for micro-data robot motion learning through covariate Gaussian process latent variable models 

    Delgado Guerrero, Juan Antonio; Colomé Figueras, Adrià; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    In the next few years, the amount and variety of context-aware robotic manipulator applications is expected to increase significantly, especially in household environments. In such spaces, thanks to programming by ...
  • Estimación experimental de la rugosidad y del factor de fricción en una tubería 

    Santos Ruiz, Ildeberto de los; Bermúdez Hernández, José Roberto; López Estrada, Francisco Ronay; Puig Cayuela, Vicenç; Torres Ortiz, Flor Lizeth (2018)
    Conference report
    Open Access
    El presente trabajo tiene dos propósitos. (1) Presentar la evaluación númerica y experimental de algunos métodos propuestos para estimar el factor de fricción en régimen turbulento, entre ellos una solución explícita ...
  • Leveraging multiple environments for learning and decision making: a dismantling use case 

    Suárez Hernández, Alejandro; Gaugry, Thierry; Segovia Aguas, Javier; Bernardin, Antonin; Torras, Carme; Marchal, Maud; Alenyà Ribas, Guillem (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Restricted access - publisher's policy
    Learning is usually performed by observing real robot executions. Physics-based simulators are a good alternative for providing highly valuable information while avoiding costly and potentially destructive robot executions. ...
  • Collaborative-AI: Social robots accompanying and approaching people 

    Sanfeliu Cortés, Alberto; Repiso Polo, Ely; Garrell Zulueta, Anais (CEUR-WS.org, 2020)
    Conference report
    Open Access
    Collaborative AI to approach or to accompany people using social robots will be a fundamental robotics field in the near future. If we desire to share and to collaborate with social robots during the development of our ...
  • Replay attack detection using a zonotopic KF and LQ approach 

    Trapiello Fernández, Carlos; Puig Cayuela, Vicenç (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    This paper exploits the analogy between the stochastic and zonotopic Kalman filters with the aim of formulating a metric that allows to assess the impact of an external zonotopically bounded signal in an state estimate ...
  • C-Flow: conditional generative flow models for images and 3D point clouds 

    Pumarola Peris, Albert; Popov, Stefan; Moreno-Noguer, Francesc; Ferrari, Vittorio (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Flow-based generative models have highly desirable properties like exact log-likelihood evaluation and exact latent-variable inference, however they are still in their infancy and have not received as much attention as ...
  • Health-aware LPV model predictive control of wind turbines 

    Khoury, Boutrous; Nejjari Akhi-Elarab, Fatiha; Puig Cayuela, Vicenç (2020)
    Conference report
    Open Access
    Wind turbine components are subject to considerable stress and fatigue due to extreme environmental conditions to which they are exposed to, especially when located offshore. Interest in the integration of control with ...
  • Model-based prognosis approach using a zonotopic Kalman filter with application to a wind turbine 

    Khoury, Boutrous; Puig Cayuela, Vicenç; Nejjari Akhi-Elarab, Fatiha (2020)
    Conference report
    Open Access
    Wind turbines generally operate under adverse conditions making them prone to relatively high failure rates. Due to the direct exposure of the blades to dynamic and cyclic loads of wind, the rotor and the blades unsurprisingly ...
  • System reconfiguration of large-scale control systems using back-up actuators 

    Trapiello Fernández, Carlos; Puig Cayuela, Vicenç; Cembrano Gennari, Gabriela (2020)
    Conference report
    Open Access
    The intrinsic redundancy of large-scale control systems allows to differentiate between the nominal system configuration, where the dynamics of the plant are controlled through a specific subset of actuators, and the ...

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