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Fuzzy hierarchical pattern recognition for robotics applications

  • Tokyo Polytechnic University
  • Tokyo Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

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.

源语言英语
主期刊名Advanced Topics in Artificial Intelligence - 10th Australian Joint Conference on Artificial Intelligence, AI 1997, Proceedings
编辑Abdul Sattar
出版商Springer Verlag
页274-281
页数8
ISBN(印刷版)3540637974, 9783540637974
DOI
出版状态已出版 - 1997
已对外发布是
活动10th Australian Joint Conference on Artificial Intelligence, AI 1997 - Perth, 澳大利亚
期限: 30 11月 1997 → 4 12月 1997

丛书

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷1342
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议10th Australian Joint Conference on Artificial Intelligence, AI 1997
国家/地区澳大利亚
市Perth
时期30/11/97 → 4/12/97

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