Recerca bàsica i aplicada al desenvolupament de sistemes intel•ligents capaços d'interactuar amb el món de forma autònoma i ubica. Aquests sistemes hauran de percebre, raonar, planificar, actuar i aprendre de l'experiència prèvia. El grup treballa activament en tres àrees: robòtica social i aèria ; visió per computador i reconeixement estructural de patrons. Dins de la robòtica social s’està treballant en els següents temes: Interacció robot-humà; localització i navegació social i autònoma de robots; localització i construcció simultània de mapes (SLAM); robòtica ubiqua; robòtica mòbil cooperativa; i robòtica aèria. En visió per computador es treballa en: seguiment, identificació i reconeixement de objectes; en xarxes de sensors de càmeres; fusió de dades; i percepció cooperativa. I en reconeixement estructural de patrons s'està treballant en mètodes de síntesi i coincidència de grafs i el la seva aplicació a la robòtica.

The Artificial Vision and Intelligent Systems Group (VIS) carries out basic and applied research with the aim of understanding and designing intelligent systems that are capable of interacting with the real world in an autonomous and wide-reaching manner. Such intelligent systems must perceive, reason, plan, act and learn from previous experiences. The group works on the following topics: robust colour image segmentation and labelling, pattern recognition, viewpoint invariant object learning and recognition, object tracking, face tracking, biometrics, processing and analysis of medical images for diagnosis, document analysis, mobile robot navigation, simultaneous localisation and map building, visual servoing, and human-computer interaction. The possible areas of application of the VIS?s research include the automotive and transport industry, the biomedical imaging industry, the space industry, robotics applications, security, home and office automation, the entertainment industry, and future computing enviro

The Artificial Vision and Intelligent Systems Group (VIS) carries out basic and applied research with the aim of understanding and designing intelligent systems that are capable of interacting with the real world in an autonomous and wide-reaching manner. Such intelligent systems must perceive, reason, plan, act and learn from previous experiences. The group works on the following topics: robust colour image segmentation and labelling, pattern recognition, viewpoint invariant object learning and recognition, object tracking, face tracking, biometrics, processing and analysis of medical images for diagnosis, document analysis, mobile robot navigation, simultaneous localisation and map building, visual servoing, and human-computer interaction. The possible areas of application of the VIS?s research include the automotive and transport industry, the biomedical imaging industry, the space industry, robotics applications, security, home and office automation, the entertainment industry, and future computing enviro

Recent Submissions

  • 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, ...
  • 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)
    Conference report
    Restricted access - publisher's policy
    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)
    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 ...
  • 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)
    Conference report
    Restricted access - publisher's policy
    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. ...
  • 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 ...
  • Adaptive social planner to accompany people in real-life dynamic environments 

    Repiso Polo, Ely; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto (Springer, 2022-12-03)
    Article
    Open Access
    Robots must develop the ability to socially navigate in uncontrolled urban environments to be able to be included in our daily lives. This paper presents a new robot navigation framework called the adaptive social planner ...
  • Body gesture recognition to control a social mobile robot 

    Laplaza Galindo, Javier; Romero Martín, Rut; Sanfeliu Cortés, Alberto; Garrell Zulueta, Anais (2023)
    Conference report
    Restricted access - publisher's policy
    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)
    Conference report
    Open Access
    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 ...
  • Accurate detection and depth estimation of table grapes and peduncles for robot harvesting, combining monocular depth estimation and CNN methods 

    Coll Ribes, Gabriel; Torres Rodriguez, Ivan Jesús; Grau Saldes, Antoni; Guerra Paradas, Edmundo; Sanfeliu Cortés, Alberto (Elsevier, 2023-12)
    Article
    Open Access
    Precision agriculture is a growing field in the agricultural industry and it holds great potential in fruit and vegetable harvesting. In this work, we present a robust accurate method for the detection and localization of ...
  • Shared task representation for human–robot collaborative navigation: the collaborative search case 

    Dalmasso Blanch, Marc; Domínguez Vidal, José Enrique; Torres Rodriguez, Ivan Jesús; Jiménez Schlegl, Pablo; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto (Springer, 2023-10-30)
    Article
    Open Access
    Recent research in Human Robot Collaboration (HRC) has spread and specialised in many sub-fields. Many show considerable advances, but the human–robot collaborative navigation (HRCN) field seems to be stuck focusing on ...
  • LEPF-Net: light enhancement pixel fusion network for underwater image enhancement 

    Yan, Jiaquan; Wang, Yijian; Fan, Haoyi; Huang, Jiayan; Grau Saldes, Antoni; Wang, Chuansheng (Multidisciplinary Digital Publishing Institute (MDPI), 2023-06-01)
    Article
    Open Access
    Underwater images often suffer from degradation due to scattering and absorption. With the development of artificial intelligence, fully supervised learning-based models have been widely adopted to solve this problem. ...

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