Now showing items 1-12 of 26

    • Exploring transformers and visual transformers for force prediction in human-robot collaborative transportation tasks 

      Domínguez Vidal, José Enrique; Sanfeliu Cortés, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2024)
      Conference report
      Restricted access - publisher's policy
      In this paper, we analyze the possibilities offered by Deep Learning State-of-the-Art architectures such as Transformers and Visual Transformers in generating a prediction of the human’s force in a Human-Robot collaborative ...
    • Human motion trajectory prediction using the social force model for real-time and low computational cost applications 

      Gil Viyuela, Óscar; Sanfeliu Cortés, Alberto (Springer, 2023)
      Conference report
      Restricted access - publisher's policy
      Human motion trajectory prediction is a very important functionality for human-robot collaboration, specifically in accompanying, guiding, or approaching tasks, but also in social robotics, self-driving vehicles, or ...
    • Enhancing robotic collaborative tasks through contextual human motion prediction and intention inference 

      Laplaza Galindo, Javier; Moreno-Noguer, Francesc; Sanfeliu Cortés, Alberto (2024-07-13)
      Article
      Open Access
      Predicting human motion based on a sequence of past observations is crucial for various applications in robotics and computer vision. Currently, this problem is typically addressed by training deep learning models using ...
    • Context attention: human motion prediction using context information and deep learning attention models 

      Laplaza Galindo, Javier; Moreno-Noguer, Francesc; Sanfeliu Cortés, Alberto (Springer, 2022)
      Conference lecture
      Open Access
      This work proposes a human motion prediction model for handover operations. The model uses a multi-headed attention architecture to process the human skeleton data together with contextual data from the operation. This ...
    • A survey on socially aware robot navigation: Taxonomy and future challenges 

      Singamaneni, Phani Teja; Bachiller Burgos, Pilar; Manso, Luis J.; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto; Spalanzani, Anne; Alami, Rachid (SAGE publishing, 2024-09)
      Article
      Open Access
      Socially aware robot navigation is gaining popularity with the increase in delivery and assistive robots. The research is further fueled by a need for socially aware navigation skills in autonomous vehicles to move safely ...
    • The LogiSmile project: piloting autonomous vehicles for lastmile logistics in European cities 

      Lemardele, Clement; Baldó Canut, Albert; Pagès Giralt, Laia; Aniculaesei, Adina; Rausch, Andreas; Conill de Azpiazu, Maria; Everding, Lars; Hegerhorst, Torben; Henze, Roman; Sanfeliu Cortés, Alberto; Santamaria Navarro, Àngel (2023)
      Conference report
      Restricted access - publisher's policy
      The use of autonomous technologies for last-mile logistics has the potential to reduce operation costs, cut emissions from the delivery sector, improve safety levels in communities, and provide efficient delivery solutions ...
    • Perception–intention–action cycle in human–robot collaborative tasks: the collaborative lightweight object transportation use-case 

      Domínguez Vidal, José Enrique; Rodríguez Linares, Nicolás Adrián; Sanfeliu Cortés, Alberto (Springer, 2024-03-25)
      Article
      Open Access
      This study proposes to improve the reliability, robustness and human-like nature of Human–Robot Collaboration (HRC). For that, the classical Perception–Action cycle is extended to a Perception–Intention–Action (PIA) cycle, ...
    • Fast bi-monocular visual odometry using factor graph sparsification 

      Vallvé Navarro, Joan; Debeunne, César; Vivet, Damien; Torres, Alex (Institute of Electrical and Electronics Engineers (IEEE), 2023)
      Conference report
      Open Access
      Visual navigation has become a standard in robotic applications with the emergence of robust and versatile algorithms. In particular, Visual Odometry (VO) has proven to be the most reliable navigation solution for space ...
    • A hybrid control-oriented PEMFC model based on echo state networks and gaussian radial basis functions 

      Aguilar Plazaola, José Agustín; Chanal, Damien; Chamagne, Didier; Yousfi-Steiner, Nadia; Péra, Marie-Cécile; Husar, Attila Peter; Andrade-Cetto, Juan (2024-01-01)
      Article
      Open Access
      The goal of increasing efficiency and durability of fuel cells can be achieved through optimal control of their operating conditions. In order to implement such controllers, accurate and computationally efficient fuel cell ...
    • Underwater Pose SLAM using GMM scan matching for a mechanical profiling sonar 

      Vial Serrat, Pau; Palomeras Rovira, Narcís; Solà Ortega, Joan; Carreras Pérez, Marc (John Wiley & sons, 2023-12-04)
      Article
      Open Access
      The underwater domain is a challenging environment for robotics because widely used electromagnetic devices must be substituted by acoustic equivalents, much slower and noisier. In this paper a two-dimensional pose ...
    • Real-life experiment metrics for evaluating human-robot collaborative navigation tasks 

      Repiso Polo, Ely; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto (2023)
      Conference report
      Restricted access - publisher's policy
      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 ...
    • The LogiSmile Project - Piloting autonomous vehicles for last-mile Logistics in european cities 

      Conill de Azpiazu, Maria; Vietor, Tim; Sanfeliu Cortés, Alberto; Lemardele, Clement; Baldó Oliva, Albert; Aniculaesei, Adina; Rausch, Andreas; Santamaria Navarro, Àngel (Elsevier, 2023)
      Article
      Open Access
      The use of autonomous technologies for last-mile logistics has the potential to reduce operation costs, cut emissions from the delivery sector, improve safety levels in communities, and provide efficient delivery solutions ...