Design and Research of Robot Visual Servo System Based on Artificial Intelligence

被引：0
|
作者：
Wu, Qian [1 ,2 ]
Gu, Jinan [1 ]
机构：
[1] Jiangsu Univ, Mech Informat Res Ctr, Zhenjiang, Peoples R China
[2] Suzhou Vocat Univ, Suzhou, Peoples R China
来源：
AGRO FOOD INDUSTRY HI-TECH | 2017年 / 28卷 / 01期
关键词：
Artificial intelligence; camera calibration; robot; image recognition; visual servo system;
D O I：
暂无
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
The study of robot visual servo has an important significance for the improvement of intelligent level of robot, the expansion of robot application and the development of robotics. In this paper, based on the studies made by numerous domestic scholars on robot visual servo system, it analyzes the classification, operation characteristics and difficulties of visual servo, and studies the specific methods for camera calibration and image recognition. In the following, the image Jacobian matrix method is used to explore the robot visual servo system based on images, and the dynamic model of robot simulation is also established, in order to improve the effectiveness and operability of the robot visual servo system based on artificial intelligence.
引用
收藏
页码：125 / 128
页数：4
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