• DocumentCode
    3376780
  • Title

    Towards a framework for robot cognition

  • Author

    Goncalves, Luizm G. ; Wheeler, Davids ; Oliveira, A.A. ; Grupen, Roderica

  • Author_Institution
    Dept. of Comput. Sci., Massachusetts Univ., Amherst, MA, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    288
  • Lastpage
    293
  • Abstract
    This work describes a framework for control of attention and for pattern categorization using a robot platform consisting of an articulated stereo-head with four degrees of freedom (pan, tilt, left verge, and right verge). As a practical result of this work, the system can select a region of interest, perform attention shifts involving saccadic movements, perform efficient feature extraction and recognition, incrementally construct a world map, and keep the map consistent with a current perception of the world. Another important result for the attentional mechanism is that the system is capable of analyzing all regions of its world, selected according to a salience map
  • Keywords
    active vision; cognitive systems; feature extraction; image classification; learning (artificial intelligence); robot vision; stereo image processing; attention; feature extraction; learning; pattern categorization; robot vision; saccadic movements; stereo vision; Biological system modeling; Biological systems; Cognition; Cognitive robotics; Computer architecture; Computer science; Eyes; Feature extraction; Mobile robots; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Robotics and Automation, 1999. CIRA '99. Proceedings. 1999 IEEE International Symposium on
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    0-7803-5806-6
  • Type

    conf

  • DOI
    10.1109/CIRA.1999.810063
  • Filename
    810063