Exploració per autor "Segovia Aguas, Javier"

Ara es mostren els items 1-7 de 7

    • Automatic learning of cognitive exercises for socially assistive robotics 

      Suárez Hernández, Alejandro; Andriella, Antonio; Taranovic, Aleksandar; Segovia Aguas, Javier; Torras, Carme; Alenyà Ribas, Guillem (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Text en actes de congrés
      Accés obert
      In this paper, we present a learning approach to facilitate the teaching of new board exercises to assistive robotic systems. We formulate the problem as the learning of action models using Boolean predicates, disjunctive ...

    • Challenge 1: Integrating knowledge, reasoning and learning 

      Manyà, Felip; Colomé Figueras, Adrià; García de Polavieja, Gonzalo; Ríos Insua, David; Torres Barrán, Alberto; Armengol, Eva; Blum, Christian; Flaminio, Tommaso; Godo Lacasa, Lluís; Levy, Jordi; Meseguer, Pedro; Segovia Aguas, Javier (Consejo Superior de Investigaciones Científicas (CSIC), 2021)
      Capítol de llibre
      Accés restringit per política de l'editorial
      Knowledge, reasoning and learning (KRL) play a central role in artificial intelligence (AI) and are instrumental in solving many AI complex problems. In such problems we may have massive amounts of data and imprecise models, ...

    • Generalized planning with positive and negative examples 

      Segovia Aguas, Javier; Jimenez Celorrio, Sergio; Jonsson, Anders (2020-04-03)
      Article
      Accés obert
      Generalized planning aims at computing an algorithm-like structure (generalized plan) that solves a set of multiple planning instances. In this paper we define negative examples for generalized planning as planning instances ...

    • Leveraging multiple environments for learning and decision making: a dismantling use case 

      Suárez Hernández, Alejandro; Gaugry, Thierry; Segovia Aguas, Javier; Bernardin, Antonin; Torras, Carme; Marchal, Maud; Alenyà Ribas, Guillem (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Learning is usually performed by observing real robot executions. Physics-based simulators are a good alternative for providing highly valuable information while avoiding costly and potentially destructive robot executions. ...

    • Natural teaching of robot-assisted rearranging exercises for cognitive training 

      Andriella, Antonio; Suárez Hernández, Alejandro; Segovia Aguas, Javier; Torras, Carme; Alenyà Ribas, Guillem (2019)
      Text en actes de congrés
      Accés obert
      Social Assistive Robots are a powerful tool to be used in patients’ cognitive training. The purpose of this study is to evaluate a new methodology to enable caregivers to teach cognitive exercises to the robot in an easy ...

    • Online action recognition 

      Suárez Hernández, Alejandro; Segovia Aguas, Javier; Torras, Carme; Alenyà Ribas, Guillem (AAAI Press, 2021)
      Text en actes de congrés
      Accés obert
      Recognition in planning seeks to find agent intentions, goals or activities given a set of observations and a knowledge library (e.g. goal states, plans or domain theories). In this work we introduce the problem of Online ...

    • STRIPS action discovery 

      Suárez Hernández, Alejandro; Segovia Aguas, Javier; Torras, Carme; Alenyà Ribas, Guillem (2020)
      Text en actes de congrés
      Accés obert
      The problem of specifying high-level knowledge bases for planning becomes a hard task in realistic environments. This knowledge is usually handcrafted and is hard to keep updated, even for system experts. Recent approaches ...