Bo Jin
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Paper Publications
An approach to identify behavior parameter in image-based visual servo control
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Indexed by:期刊论文

Date of Publication:2012-01-01

Journal:Information Technology Journal

Included Journals:EI、Scopus

Volume:11

Issue:2

Page Number:217-224

ISSN No.:18125638

Abstract:Visual servoing referred to the technique which uses the computer vision data to control the motion of a robot. Among its various schemes, the image-based method was popular because of many advantages. But there were still some problems in its practical applications. Recently, a general control law of the image-based method using a behavior parameter had been proposed to improve the performance of the method. This study deals with the camera retreat problem and the image-based visual servoing scheme. The behavior-based visual servoing scheme was utilized. An analytical study of this scheme was presented when camera moves along and around the optical axis. The range of behavior parameter was obtained through the analytical study and RBF network. The camera retreat would not occur if the behavior parameter was picked in the range. When considering a difficult configuration, the study proposed an approach to adaptively select behavior parameter according to the range. Simulation results showed that this method compared with the classical image-base visual servoing schemes had better performance in avoiding the local minima in some configurations. ? 2012 Asian Network for Scientific Information.

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Gender:Male

Alma Mater:Dalian University of Technology

Degree:Doctoral Degree

School/Department:Dalian University of Technology

Discipline:Computer Applied Technology

Business Address:816 Yanjiao Building, Dalian University of Technology

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