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

  • WOLF: A modular estimation framework for robotics based on factor graphs 

    Solà Ortega, Joan; Vallvé Navarro, Joan; Casals, Joaquim; Deray, Jeremie; Fourmy, Mederic; Atchuthan, Dinseh; Corominas Murtra, Andreu; Andrade-Cetto, Juan (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Article
    Open Access
    This paper introduces WOLF, a C++ estimation framework based on factor graphs and targeted at mobile robotics. WOLF can be used beyond SLAM to handle self-calibration, model identification, or the observation of dynamic ...
  • Box-Jenkins autoregressive models for PEMFC operating under dynamical conditions 

    Aguilar Plazaola, José Agustín; Husar, Attila Peter; Andrade-Cetto, Juan (2021)
    Conference report
    Open Access
    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 ...
  • Trends and Characteristics of Emergency Medical Services in Italy: A 5-Years Population-Based Registry Analysis 

    Campagna, Sara; Conti, Andrea; Starnini, Michele; Dalmasso Blanch, Marc; Gianino, Maria Michela; Borraccino, Alberto (2020-12-11)
    Article
    Open Access
    Background: Emergency Medical Services (EMS) plays a fundamental role in providing good quality healthcare services to citizens, as they are the first responders in distressing situations. Few studies have used available ...
  • PhysXNet: a customizable approach for learning cloth dynamics on dressed people 

    Sánchez Riera, Jordi; Pumarola Peris, Albert; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    We introduce PhysXNet, a learning-based approach to predict the dynamics of deformable clothes given 3D skeleton motion sequences of humans wearing these clothes. The proposed model is adaptable to a large variety of ...
  • Body size and depth disambiguation in multi-person reconstruction from single images 

    Ugrinovic Kehdy, Nicolas; Ruiz Ovejero, Adrià; Agudo Martínez, Antonio; Sanfeliu Cortés, Alberto; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    We address the problem of multi-person 3D body pose and shape estimation from a single image. While this problem can be addressed by applying single-person approaches multiple times for the same scene, recent works have ...
  • Dual-branch CNNs for vehicle detection and tracking on LiDAR data 

    Vaquero Gómez, Víctor; del Pino Bastida, Iván; Moreno-Noguer, Francesc; Solà Ortega, Joan; Sanfeliu Cortés, Alberto; Andrade-Cetto, Juan (2021-11-01)
    Article
    Open Access
    We present a novel vehicle detection and tracking system that works solely on 3D LiDAR information. Our approach segments vehicles using a dual-view representation of the 3D LiDAR point cloud on two independently trained ...
  • Heuri: a Scrabble© playing engine using a probability-based heuristic 

    González Romero, Alejandro; Alquézar Mancho, René; Ramírez Flores, Arturo; González Acuña, Francisco; García Olmedo, Ian (2022-02-16)
    Article
    Open Access
    The game of Scrabble has been successfully tackled by two engines: Quackle and Maven. They attain the state-of-the-art in Computer Scrabble. These engines use simulation techniques and precalculated values to achieve ...
  • SMPLicit: Topology-aware generative model for clothed people 

    Corona Puyane, Enric; Pumarola Peris, Albert; Alenyà Ribas, Guillem; Pons-Moll, Gerard; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    In this paper we introduce SMPLicit, a novel generative model to jointly represent body pose, shape and clothing geometry. In contrast to existing learning-based approaches that require training specific models for each ...
  • D-NeRF: neural radiance fields for dynamic scenes 

    Pumarola Peris, Albert; Corona Puyane, Enric; Pons-Moll, Gerard; Moreno-Noguer, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Neural rendering techniques combining machine learning with geometric reasoning have arisen as one of the most promising approaches for synthesizing novel views of a scene from a sparse set of images. Among these, stands ...
  • Automated chlorine dosage in a simulated drinking water treatment plant: a real case study 

    Gámiz Caro, Javier Francisco; Grau Saldes, Antoni; Martínez García, Herminio; Bolea Monte, Yolanda (Multidisciplinary Digital Publishing Institute (MDPI), 2021-11)
    Part of book or chapter of book
    Open Access
    In recent decades, increasing attention has been paid to the sustainability of products and processes, including activities aimed at environmental protection, site reclamation or treatment of contaminated ef¿uents, as well ...
  • Human-robot collaborative multi-agent path planning using Monte Carlo tree search and social reward sources 

    Dalmasso Blanch, Marc; Garrell Zulueta, Anais; Domínguez Vidal, José Enrique; Jimenez Schlegl, Pablo; Sanfeliu Cortés, Alberto (2021)
    Conference report
    Open Access
    The collaboration between humans and robots in an object search task requires the achievement of shared plans obtained from communicating and negotiating. In this work, we assume that the robot computes, as a first step, ...
  • A hybrid visual-based SLAM architecture: local filter-based SLAM with keyframe-based global mapping 

    Munguía Alcalá, Rodrigo Francisco; Trujillo, Juan Carlos; Guerra Paradas, Edmundo; Grau Saldes, Antoni (Multidisciplinary Digital Publishing Institute (MDPI), 2021-12-29)
    Article
    Open Access
    This work presents a hybrid visual-based SLAM architecture that aims to take advantage of the strengths of each of the two main methodologies currently available for implementing visual-based SLAM systems, while at the ...

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