• DocumentCode
    1577564
  • Title

    PSchema: A developmental schema learning framework for embodied agents

  • Author

    Sheldon, Michael ; Lee, Mark

  • Author_Institution
    Dept. of Comput. Sci., Aberystwyth Univ., Aberystwyth, UK
  • Volume
    2
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper we introduce PSchema, a framework for Piagetian schema learning which allows for the direct use of symbolic schema learning in a robotic environment. We show the benefit of a developmental progression to aid in the learning of the system and introduce a generalisation mechanism which further increases the capabilities of these techniques. Using a robotic arm we demonstrate the system´s ability to learn to touch objects placed in front of it and how it can represent the knowledge gained from this in a manner suitable for continuous on-line learning. We then go on to demonstrate how these mechanisms can be used to provide a framework for the learning of language, grounded in the robot´s sensory perception of the world.
  • Keywords
    learning (artificial intelligence); manipulators; multi-agent systems; PSchema; Piagetian schema learning; continuous on-line learning; developmental schema learning framework; embodied agents; robot sensory perception; robotic arm; robotic environment; symbolic schema learning; Fires; Robots; Developmental Learning; Embodied Cognition; Grounding of Knowledge and Representations; Language Acquisition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Development and Learning (ICDL), 2011 IEEE International Conference on
  • Conference_Location
    Frankfurt am Main
  • ISSN
    2161-9476
  • Print_ISBN
    978-1-61284-989-8
  • Type

    conf

  • DOI
    10.1109/DEVLRN.2011.6037380
  • Filename
    6037380