Fuzzy hierarchical pattern recognition for robotics applications

  • Yoshinori Arai
  • Kaoru Hirota
Learning and Machine Vision
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1342)


Two approaches of pattern recognition for robotics applications are introduced. The first study is concerned with a method of efficient pattern classification for moving objects using a discriminant tree. The second study is about three dimensional pattern classifications. Both studies use fuzzy logic and hierarchical knowledge base. In the first study, the experimental system shows the robot-arm system which is able to recognize a moving pattern (parts shape recognition) and to manipulate a moving object on a belt-conveyer at a various speed. And in the second study, the experimental system provideds a car-name recognition system which is able to recognize various car-name (trade name) from image data of minicars.


Robotics Vision Fuzzy Inference Parts shape recognition Car-name recognition 


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  1. 1.
    K. Hirota, Y. Arai, S. Hachisu: “Moving Mark Recognition and Moving Object Manipulation in Fuzzy Controlled Robot”, CTAT, Vol.2, No3, pp.399–418, 1986Google Scholar
  2. 2.
    K. Hirota, Y. Arai, Y. Nakagawa:, “Pattern Recognition & Image Understanding based on Fuzzy Technology”, Int. Workshop on BOFL'96, 56–61, 1996Google Scholar
  3. 3.
    Y. Arai, G. Sekiguchi, K. Hirota: “Fuzzy Hierarchical Car-model Pattern Recognition System Using Fixation Feedback”, Int. Conf on KES '97, 154–158, 1997Google Scholar
  4. 4.
    H. Kono: “Simulator System for Automatic Pattern Recognition of Motorcar Shape”, IFAC 8th. Triennial World Congress, Vol.4, p2003, 1982Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Yoshinori Arai
    • 1
  • Kaoru Hirota
    • 2
  1. 1.Tokyo Institute of PolytechnicsAtsugi, KanagawaJapan
  2. 2.Tokyo Institue of TechnologyYokohama, KanagawaJapan

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