Recent Submissions

  • Feed-forward control for a drinking water treatment plant chlorination process 

    Gámiz Caro, Javier Francisco; Martínez García, Herminio; Grau Saldes, Antoni; Bolea Monte, Yolanda; Vilanova Arbós, Ramón (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Chlorination in drinking water treatment plants (DWTP) is the final process applied to water before it is sent to storage tanks in the supply network for subsequent human consumption. An excessive dosage of chlorine or, ...
  • Damage detection and diagnosis for offshore wind foundations 

    Puruncajas Maza, Bryan; Vidal Seguí, Yolanda; Tutivén Gálvez, Christian (2020)
    Conference report
    Restricted access - publisher's policy
    Structural health monitoring for wind turbines (WT) in remote locations, as offshore, is crucial (Presencia and Shafiee, 2018). Offshore wind farms are increasingly realized in water depths beyond 30 meters, where lattice ...
  • A deep reinforcement learning approach for path following on a quadrotor 

    Rubí Perelló, Bartomeu; Morcego Seix, Bernardo; Pérez Magrané, Ramon (2020)
    Conference report
    Open Access
    This paper proposes the Deep Deterministic Policy Grandient (DDPG) reinforcement learning algorithm to solve the path following problem in a quadrotor vehicle. This agent is implemented using a separated control and guidance ...
  • How Much Does It Cost to Go Off-Grid with Renewables? A Case Study of a Polygeneration System for a Neighbourhood in Hermosillo, Mexico 

    Wegener, Moritz; López Ordóñez, Carlos Fernando; Isalgué Buxeda, Antonio; Malmquist, Anders; Martin, Andrew (2019)
    Conference report
    Open Access
    As governments and companies struggle to meet their own objectives for the energy transition, more innovative social and technological measures are needed to reduce Greenhouse Gas (GHG) emissions. For this purpose, an ...
  • Human motion prediction via spatio-temporal inpainting 

    Hernández Ruiz, Alejandro José; Gall, Juergen; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    We propose a Generative Adversarial Network (GAN) to forecast 3D human motion given a sequence of past 3D skeleton poses. While recent GANs have shown promising results, they can only forecast plausible motion over relatively ...
  • Observer design for Takagi-Sugeno Lipschitz systems affected by disturbances using quadratic boundedness 

    Yang, Ruicong; Rotondo, Damiano; Puig Cayuela, Vicenç (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    In this paper, a proportional observer design using quadratic boundedness is proposed in order to estimate the state of a system described by a Takagi-Sugeno model with a Lipschitz nonlinearity term, and affected by unknown ...
  • Set-based replay attack detection in closed-loop systems using a plug & play watermarking approach 

    Trapiello Fernández, Carlos; Puig Cayuela, Vicenç (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    This paper presents a watermarking signal injection method that compensates its effect in the loop, avoiding thus the signal reinjection. Similar to a virtual actuator scheme, the proposed methodology masks the presence ...
  • Human-robot collaborative navigation search using social reward sources 

    Dalmasso Blanch, Marc; Garrell Zulueta, Anais; Jimenez Schlegl, Pablo; Sanfeliu Cortés, Alberto (2019)
    Conference report
    Open Access
    This paper proposes a Social Reward Sources (SRS) design for a Human-Robot Collaborative Navigation (HRCN) task: human-robot collaborative search. It is a flexible approach capable of handling the collaborative task, ...
  • Effects of a social force model reward in robot navigation based on deep reinforcement learning 

    Gil Viyuela, Óscar; Sanfeliu Cortés, Alberto (2019)
    Conference report
    Open Access
    In this paper is proposed an inclusion of the Social Force Model (SFM) into a concrete Deep Reinforcement Learning (RL) framework for robot navigation. These types of techniques have demonstrated to be useful to deal with ...
  • Timed-elastic smooth curve optimization for mobile-base motion planning 

    Deray, Jeremie; Magyar, Bence; Solà Ortega, Joan; Andrade-Cetto, Juan (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    This paper proposes the use of piecewise Cn smooth curve for mobile-base motion planning and control, coined Timed-Elastic Smooth Curve (TESC) planner. Based on a Timed-Elastic Band, the problem is defined so that the ...
  • Modelling liquid water effect on proton-exchange membrane fuel cells 

    Aguilar Plazaola, José Agustín; Husar, Attila Peter (2019)
    Conference report
    Open Access
    This work introduces our ongoing research in developing accurate models for predicting and analyzing Proton-Exchange Membrane Fuel Cells performance. An initial model, whose response is compared with experimental data is ...
  • People's V-formation and side-by-side model adapted to accompany groups of people by social robots 

    Repiso Polo, Ely; Zanlungo, Francesco; Kanda, Takayuki; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Conference report
    Open Access
    This paper presents a new method to allow robots to accompany a person or a group of people imitating pedestrians behavior. Two-people groups usually walk in a side-by-side formation and three-people groups walk in a ...

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