Uncalibrated Eye-in-hand Visual Servoing Using Adaptive Recursive Least Squares

被引：2

作者：

Hao, Miao

Sun, Zengqi

机构：

来源：

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年

关键词：

D O I：

10.1109/WCICA.2008.4593061

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a Visual Servoing algorithm using Adaptive Recursive Least Squares(VS-ARLS) is proposed and investigated in depth. At the beginning, the classical uncalibrated Visual Servoing using Recursive Least Squares(VS-RLS) is introduced and analyzed, then the performance evaluation criterions of time-vary system tracking are discussed, based on which a new Visual Servoing algorithm using Adaptive Recursive Least Squares is proposed and explored theoretically. Finally, the experimental results verify the performance of VS-ARLS.

引用

页码：1021 / 1026

页数：6

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