Presentation 2005-01-24
Environment Recognition Method for Autonomous Mobile Robot by Using the Self-Organizing Map
Mitsuru NAKAGAWA, Hiroomi HIKAWA, Takenori HIRABAYASI,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper discuses the location recognition of the autonomous mobile robot by using self-organizing map (SOM). Direction sensor information is fed to the SOM to find where the robot is located. Two types of SOMs are examined for the recognition. One uses memory so that it can use the information in the past. The other is feedback SOM that can handle time variant input. Their recognition performances are studied through experiments, which show that SOM with memory has a better performance when the learned environment is changed while the feedback SOM is robust against the speed change of the robot.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Self-organizing map / Feedback SOM / Direction information / Environment recognition
Paper # NLP2004-92
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Conference Information
Committee NLP
Conference Date 2005/1/17(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Environment Recognition Method for Autonomous Mobile Robot by Using the Self-Organizing Map
Sub Title (in English)
Keyword(1) Self-organizing map
Keyword(2) Feedback SOM
Keyword(3) Direction information
Keyword(4) Environment recognition
1st Author's Name Mitsuru NAKAGAWA
1st Author's Affiliation Department of Computer Science and Intelligent Systems Oita Univ.()
2nd Author's Name Hiroomi HIKAWA
2nd Author's Affiliation Department of Computer Science and Intelligent Systems Oita Univ.
3rd Author's Name Takenori HIRABAYASI
3rd Author's Affiliation Department of Computer Science and Intelligent Systems Oita Univ.
Date 2005-01-24
Paper # NLP2004-92
Volume (vol) vol.104
Number (no) 583
Page pp.pp.-
#Pages 6
Date of Issue