Envíos recientes

  • Improving human-robot interaction effectiveness in human-robot collaborative object transportation using force prediction 

    Domínguez Vidal, José Enrique; Sanfeliu Cortés, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Texto en actas de congreso
    Acceso restringido por política de la editorial
    In this work, we analyse the use of a prediction of the human’s force in a Human-Robot collaborative object transportation task at a middle distance. We check that this force prediction can improve multiple parameters ...
  • Real-life experiment metrics for evaluating human-robot collaborative navigation tasks 

    Repiso Polo, Ely; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto (2023)
    Texto en actas de congreso
    Acceso restringido por política de la editorial
    As robots move from laboratories and industries to the real world, they must develop new abilities to collaborate with humans in various aspects, including human-robot collaborative navigation (HRCN) tasks. Then, it is ...
  • Inference vs. explicitness. Do we really need the perfect predictor? The human-robot collaborative object transportation case 

    Domínguez Vidal, José Enrique; Sanfeliu Cortés, Alberto (2023)
    Texto en actas de congreso
    Acceso restringido por política de la editorial
    When robots interact with humans, limitations in their internal models arise due to the uncertainty and even randomness of human behavior. This has led to attempts to predict human future actions and infer their intent. ...
  • Body gesture recognition to control a social mobile robot 

    Laplaza Galindo, Javier; Romero Martín, Rut; Sanfeliu Cortés, Alberto; Garrell Zulueta, Anais (2023)
    Texto en actas de congreso
    Acceso restringido por política de la editorial
    In this work, we propose a gesture-based language to allow humans to interact with robots using their body in a natural way. We have created a new gesture detection model using neural networks and a new dataset of humans ...
  • Human acceptance in the Human-Robot Interaction scenario for last-mile goods delivery 

    Puig-Pey Clavería, Ana María; Zamora i Mestre, Joan-Lluís; Amante García, Beatriz; Moreno Sanz, Joan; Garrell Zulueta, Anais; Grau Saldes, Antoni; Bolea Monte, Yolanda; Santamaria Navarro, Àngel; Sanfeliu Cortés, Alberto (2023)
    Texto en actas de congreso
    Acceso abierto
    The introduction of robotic technology in an existing scenario must be analyzed from the point of view of all the human roles involved in that scenario. In the case of dealing with urban public space, the analysis must ...
  • Perception-intention-action cycle as a human acceptable way for improving human-robot collaborative tasks 

    Domínguez Vidal, José Enrique; Rodríguez Linares, Nicolás Adrián; Sanfeliu Cortés, Alberto (Association for Computing Machinery (ACM), 2023)
    Texto en actas de congreso
    Acceso abierto
    In Human-Robot Collaboration (HRC) tasks, the classical Perception-Action cycle can not fully explain the collaborative behaviour of the human-robot pair until it is extended to Perception-Intention-Action (PIA) cycle, ...
  • Single-view 3d body and cloth reconstruction under complex poses 

    Ugrinovic Kehdy, Nicolas; Pumarola Peris, Albert; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Scitepress, 2022)
    Texto en actas de congreso
    Acceso abierto
    Recent advances in 3D human shape reconstruction from single images have shown impressive results, leveraging on deep networks that model the so-called implicit function to learn the occupancy status of arbitrarily dense ...
  • Classification of humans social relations within urban areas 

    Castro Arcusa, Oscar; Repiso Polo, Ely; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto (Springer, 2022)
    Texto en actas de congreso
    Acceso abierto
    This paper presents the design of deep learning architectures which allow to classify the social relationship existing between two people who are walking in a side-by-side formation into four possible categories --colleagues, ...
  • Context and intention for 3D human motion prediction: experimentation and user study in handover tasks 

    Laplaza Galindo, Javier; Garrell Zulueta, Anais; Moreno-Noguer, Francesc; Sanfeliu Cortés, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Texto en actas de congreso
    Acceso abierto
    In this work we present a novel attention deep learning model that uses context and human intention for 3D human body motion prediction in handover human-robot tasks. This model uses a multi-head attention architecture ...
  • Robot navigation anticipative strategies in deep reinforcement motion planning 

    Gil Viyuela, Óscar; Sanfeliu Cortés, Alberto (Springer, 2022)
    Texto en actas de congreso
    Acceso abierto
    The navigation of robots in dynamic urban environments, re-quires elaborated anticipative strategies for the robot to avoid collisions with dynamic objects, like bicycles or pedestrians, and to be human aware. ...
  • IVO Robot: a new social robot for human-robot collaboration 

    Laplaza Galindo, Javier; Rodríguez Linares, Nicolás Adrián; Domínguez Vidal, José Enrique; Herrero Cotarelo, Fernando; Hernández Juan, Sergi; López Gestoso, Alejandro; Sanfeliu Cortés, Alberto; Garrell Zulueta, Anais (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Comunicación de congreso
    Acceso abierto
    We present a new social robot named IVO, a robot capable of collaborating with humans and solving different tasks. The robot is intended to cooperate and work with humans in a useful and socially acceptable manner to ...
  • Box-Jenkins autoregressive models for PEMFC operating under dynamical conditions 

    Aguilar Plazaola, José Agustín; Husar, Attila Peter; Andrade-Cetto, Juan (2021)
    Texto en actas de congreso
    Acceso abierto
    The objective of the present work is to explore and validate autoregressive, control oriented models models Proton Exchange Membrane Fuel Cells coperatinf under dynamic condditions. Autoregressive models have several ...

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