VIS - Visió Artificial i Sistemes Intel·ligents

 

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

  • Fuzzy gain scheduling and feed–forward control for drinking water treatment plants (DWTP) chlorination process 

    Gámiz Caro, Javier Francisco; Vilanova Arbós, Ramón; Martínez García, Herminio; Bolea Monte, Yolanda; Grau Saldes, Antoni (Institute of Electrical and Electronics Engineers (IEEE), 2020-06-12)
    Article
    Open Access
    Chlorination in drinking water treatment plants (DWTP) is the final process applied to water before it is sent to storage tanks in the supply network for subsequent human consumption. An excessive dosage of chlorine or, ...

  • Collaborative-AI: Social robots accompanying and approaching people 

    Sanfeliu Cortés, Alberto; Repiso Polo, Ely; Garrell Zulueta, Anais (CEUR-WS.org, 2020)
    Conference report
    Open Access
    Collaborative AI to approach or to accompany people using social robots will be a fundamental robotics field in the near future. If we desire to share and to collaborate with social robots during the development of our ...

  • Sampling operation with robotic UAV 

    Guerra Paradas, Edmundo; Grau Saldes, Antoni; Bolea Monte, Yolanda; Munguía Alcalá, Rodrigo Francisco (2019)
    Conference report
    Open Access
    This work presents a solution to automatize sampling tasks in a wastewater treatment plant with open air basins. At the behest of human operators, a set of UAVs managed as a network of autonomous agents will perform sample ...

  • Towards robust 6-DoF detection in uncontrolled lightning enviroments 

    Mora, Alejandro; Guerra Paradas, Edmundo; Manzanares Brotons, Manuel; Grau Saldes, Antoni (2019)
    Conference report
    Open Access
    One of the most critical issues that arises when controlling a robot is the necessity to locate itself in the environment. Ranging from industrial processes applications to outdoor mobile robots, landmarks are used to such ...

  • C-Flow: conditional generative flow models for images and 3D point clouds 

    Pumarola Peris, Albert; Popov, Stefan; Moreno-Noguer, Francesc; Ferrari, Vittorio (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Flow-based generative models have highly desirable properties like exact log-likelihood evaluation and exact latent-variable inference, however they are still in their infancy and have not received as much attention as ...

  • Robotic monocular SLAM in wastewater treatment plants with a sampling device 

    Guerra Paradas, Edmundo; Bolea Monte, Yolanda; Munguía Alcalá, Rodrigo Francisco; Grau Saldes, Antoni (Springer, Charm, 2019)
    Conference lecture
    Open Access
    A novel application is presented in this paper. Wastewater treatment plants need to sample water to follow the cleaned process continuously. This task is very tedious for laboratory workers and, mainly, can be done in ...

  • Technological advances for intelligent vehicles: shared control in highly complex contexts and the automation of transport in segregated environments 

    Villagra, Jorge; Vallvé Navarro, Joan; Medina Lee, Juan; Solà Ortega, Joan; Artuñedo, Antonio; Andrade-Cetto, Juan (Instituto de Carboquímica, 2020)
    Article
    Open Access
    To make autonomous driving a mass reality in cities there are still important technological barriers to be solved. It is therefore foreseeable that its implementation will be gradual, prioritising its appearance in operational ...

  • Adaptive side-by-side social robot navigation to approach and interact with people 

    Repiso Polo, Ely; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto (2020-08)
    Article
    Open Access
    This paper presents a new framework for how autonomous social robots approach and accompany people in urban environments. The method discussed allows the robot to accompany a person and approach to other one, by adapting ...

  • People's adaptive side-by-side model evolved to accompany groups of people by social robots 

    Repiso Polo, Ely; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2020-04-01)
    Article
    Open Access
    The presented method implements a robot accompaniment in an adaptive side-by-side formation of a single person or a group of people. The method enhances our previous robot adaptive side-by-side behavior allowing the robot ...

  • Context-aware human motion prediction 

    Corona Puyane, Enric; Pumarola Peris, Albert; Alenyà Ribas, Guillem; Moreno-Noguer, Francesc (2020)
    Conference lecture
    Open Access
    The problem of predicting human motion given a sequence of past observations is at the core of many applications in robotics and computer vision. Current state-of-the-art formulates this problem as a sequence-to-sequence ...

  • Ganhand: predicting human grasp affordances in multi-object scenes 

    Corona Puyane, Enric; Pumarola Peris, Albert; Alenyà Ribas, Guillem; Moreno-Noguer, Francesc; Rogez, Grégory (2020)
    Conference lecture
    Open Access
    The rise of deep learning has brought remarkable progress in estimating hand geometry from images where the hands are part of the scene. This paper focuses on a new problem not explored so far, consisting in predicting how ...

  • Behavioral-based autonomous robot operation under robot-central base loss of communication 

    Grau Saldes, Antoni; Guerra Paradas, Edmundo; Bolea Monte, Yolanda; Munguía Alcalá, Rodrigo Francisco (Springer, Charm, 2020)
    Conference report
    Restricted access - publisher's policy
    Robot navigation requires the use of a reliable map. Depending on the environment conditions, this map needs a constant update for a safe navigation. Autonomous robots use this map but at the same can contribute to the ...

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