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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:创新创业学院
学科:计算机应用技术
办公地点:创客空间607
电子邮箱:jinbo@dlut.edu.cn
An approach to identify behavior parameter in image-based visual servo control
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论文类型:期刊论文
发表时间:2012-01-01
发表刊物:Information Technology Journal
收录刊物:EI、Scopus
卷号:11
期号:2
页面范围:217-224
ISSN号:18125638
摘要: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.