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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40869

Title: Real-Time Image Recognition and Path Tracking to Wheeled Mobile Robot for Taking an Elevator
Authors: Jih-Gau Juang;Chia-Lung Yu;Chih-Min Lin;Rong-Guan Yeh;Imre J. Rudas
Contributors: 國立臺灣海洋大學:通訊與導航工程學系
Date: 2013
Issue Date: 2017-02-07T03:10:39Z
Publisher: Acta Polytechnica Hungarica
Abstract: Abstract: This paper aims to design a wheeled mobile robot for path tracking and for automatically taking an elevator by integrating multiple technologies, including image processing using hue-saturation-value color space, pattern recognition using the adaptive resonance theory (ART), and robot control using a fuzzy cerebellar model articulation controller (FCMAC). The ART is used to recognize the button of the elevator. It is an effective competitive learning rule for figure identification. The FCMAC is used for path tracking. Experimental results demonstrate the proposed control system can drive the wheeled robot to take the elevator automatically.
Relation: 10(6)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40869
Appears in Collections:[通訊與導航工程學系] 期刊論文

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