• DocumentCode
    382888
  • Title

    Behavior acquisition method based on embodiment for vision-based agent

  • Author

    Terada, Kazunori ; Nakamura, T. ; Takeda, Hideaki

  • Author_Institution
    Dept. of Inf. Sci., Gifu Univ., Japan
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    964
  • Abstract
    A method for behavior acquisition that considers embodiment by associating tactile information to visual input is described. An agent that acts in the physical world always suffers constraints derived from embodiment. On the other hand, embodiment plays a very important role in the formation of visual function. Philosophical and clinical medicine findings assert that vision does not function without learning through experiences of haptic motion. In this paper, we discuss the relation between vision, embodiment, and behavior. We develop a method for behavior acquisition through associating vision and tactile sensors. We perform experiments of obstacle avoidance using a computer simulation and a real agent to test the validity of our method.
  • Keywords
    collision avoidance; mobile agents; mobile robots; robot vision; tactile sensors; unsupervised learning; Markov decision problem; behavior acquisition method; computer simulation; embodiment; haptic motion; learning through experience; obstacle avoidance; real agent; tactile information; vision-based agent; visual input; Computer simulation; Computer vision; Haptic interfaces; Informatics; Information science; Performance evaluation; Shape; Tactile sensors; Testing; Tiles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2002. IEEE/RSJ International Conference on
  • Print_ISBN
    0-7803-7398-7
  • Type

    conf

  • DOI
    10.1109/IRDS.2002.1041515
  • Filename
    1041515