Recent Submissions

  • Ontological modeling and reasoning for comparison and contrastive narration of robot plans 

    Olivares Alarcos, Alberto; Foix, Sergi; Borràs Sol, Júlia; Canal Camprodon, Gerard; Alenyà Ribas, Guillem (Association for Computing Machinery (ACM), 2024)
    Conference lecture
    Open Access
    This extended abstract focuses on an approach to modeling and reasoning about the comparison of competing plans, so that robots can later explain the divergent result. First, the need for a novel ontological model that ...
  • Robots as mediators to resolve multi-user preference conflicts 

    Civit Bertran, Aniol; Stower, Rebecca; Leite, Iolanda; Andriella, Antonio; Alenyà Ribas, Guillem (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    In real-life scenarios, robots will have to make decisions that involve multiple users. The current literature does not consider scenarios where a robot interacts with users who have conflicting preferences. To address ...
  • No bells, just whistles: sports field registration by leveraging geometric properties 

    Gutiérrez Pérez, Marc; Agudo Martínez, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference lecture
    Open Access
    Broadcast sports field registration is traditionally addressed as a homography estimation task, mapping the visible image area to a planar field model, predominantly focusing on the main camera shot. Addressing the ...
  • How do people intend to disclose personal information to a social robot in public spaces? 

    Aryania, Azra; Huertas Garcia, Rubén; Forgas Coll, Santiago; Angulo Bahón, Cecilio; Alenyà Ribas, Guillem (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Social robots interacting with people in public spaces may access and collect their personal information, which raises privacy concerns regarding the disclosure of personal information. This paper aims to investigate factors ...
  • PlanCollabNL: leveraging large language models for adaptive plan generation in human-robot collaboration 

    Izquierdo Badiola, Silvia; Canal Camprodon, Gerard; Rizzo, Carlos; Alenyà Ribas, Guillem (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    "Hey, robot. Let’s tidy up the kitchen. By the way, I have back pain today". How can a robotic system devise a shared plan with an appropriate task allocation from this abstract goal and agent condition? Classical AI task ...
  • What would I do If…? Promoting understanding in HRI through real-time explanations in the wild 

    Love, Tamlin; Andriella, Antonio; Alenyà Ribas, Guillem (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    As robots become more and more integrated in human spaces, it is increasingly important for them to be able to explain their decisions to the people they interact with. These explanations need to be generated automatically ...
  • La heteronomía en los robots sociales asistenciales: una experiencia piloto con un robot para dar de comer en el hospital 

    Vallés Peris, Núria; Barrué Subirana, Cristian; Alenyà Ribas, Guillem (2024)
    Conference report
    Open Access
    En un contexto de creciente tensión y presión asistencial en los sistemas sanitarios a nivel global (Topol, 2019), la inteligencia artificial y la robótica aplicadas a la salud han recibido un importante impulso. Se han ...
  • Fitting parameters of linear dynamical systems to regularize forcing terms in dynamical movement primitives 

    Stulp, Freek; Colomé Figueras, Adrià; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Due to their flexibility and ease of use, Dynamical Movement Primitives (DMPs) are widely used in robotics applications and research. DMPs combine linear dynamical systems to achieve robustness to perturbations and adaptation ...
  • 3M-Transformer: a multi-stage multi-stream multimodal transformer for embodied turn-taking prediction 

    Fatan, Mehdi; Mincato, Emanuele; Pintzou, Dimitra; Dimiccoli, Mariella (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Predicting turn-taking in multiparty conversations has many practical applications in human-computer/robot interaction. However, the complexity of human communication makes it a challenging task. Recent advances have shown ...
  • Generalized nested latent variable models for lossy coding applied to wind turbine scenarios 

    Pérez i Gonzalo, Raül; Espersen, Andreas; Agudo Martínez, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Rate-distortion optimization through neural networks has accomplished competitive results in compression efficiency and image quality. This learning-based approach seeks to minimize the compromise between compression rate ...
  • MultiPhys: multi-person physics-aware 3D motion estimation 

    Ugrinovic Kehdy, Nicolas; Pan, Boxiao; Pavlakos, Georgios; Paschalidou, Despoina; Shen, Bokui; Sánchez Riera, Jordi; Moreno-Noguer, Francesc; Guibas, Leonidas (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    We introduce MultiPhys, a method designed for recovering multi-person motion from monocular videos. Our focus lies in capturing coherent spatial placement between pairs of individuals across varying degrees of engagement. ...
  • Fast ready-to-harvest cotton detection and classification with YOLOv8 in greenhouse crops 

    González Salazar, Guillermo José; Martinez Fernandez, Antonio; Martinez Lopez, Vicente; Foix Salmerón, Sergi; Alenyà Ribas, Guillem (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Autonomous robotic systems come as a new way of harvesting cotton, which is needed to preserve quality while reducing expenses, as opposed to traditional methods. New algorithmic solutions must be developed to detect cotton ...

View more