标题:Curve Control Points-based Feature Extraction for Visual Servo with rotational pose compensation
作者:Zhang, Yao ;Wang, Na ;Wang, Haixia ;Lu, Xiao ;Zhang, Zhiguo ;Sheng, Chunyang
作者机构:[Zhang, Yao ;Wang, Na ;Wang, Haixia ;Lu, Xiao ;Zhang, Zhiguo ] Shandong University of Science and Technology, Key Laboratory for Robot and Intelligent 更多
会议名称:32nd Chinese Control and Decision Conference, CCDC 2020
会议日期:22 August 2020 through 24 August 2020
来源:Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020
出版年:2020
页码:450-454
DOI:10.1109/CCDC49329.2020.9163963
关键词:Curve Image Feature; Rotational Compensation; Visual Servo
摘要:The spline curve is commonly used for describing the contour of the target object in the field of image-based visual servo (IBVS). However, this method has the disadvantage of low sensitivity and poor precision when facing the camera's rotational motions. To solve this problem, a visual servo system with rotational pose compensation is presented in this study. The NURBS (Non Uniform Rational B-spline) curve is firstly used to obtain the curve control points by fitting the projected curve of the target contour on the image plane. And then, the control points are employed for constructing the image Jacobian matrix. The rotational compensation controller is designed to compensate the rotational motions of the robot. To verify the feasibility of this method, a set of visual servo tasks are carried out on the Puma560 platform. Experimental results demonstrate that the proposed method has high accuracy and computational efficiency. © 2020 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091590998&doi=10.1109%2fCCDC49329.2020.9163963&partnerID=40&md5=bd6aab60889275da3c0d120018510f88
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