Study on the Improvement of Flexibility for an Industrial Robot Based on Machine Vision

被引：1

作者：

Wangi, Jiwu ^{[1
]}

Zhangi, Xianwen ^{[1
]}

Zhangi, Weining ^{[1
]}

Masanori, Sugisaka ^{[2
]}

机构：

[1] Beijing Jiaotong Univ, Sch Mech Elect & Control Engn, Beijing 100044, Peoples R China

[2] Life Robot Corp Ltd, Oita 8701112, Japan

来源：

JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE | 2014年 / 1卷 / 01期

关键词：

Arm robot; Target recognition; Flexible control; Machine vision;

D O I：

10.2991/jrnal.2014.1.1.9

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

In order to improve the applications for an industrial robot, it is necessary to increase its flexibility and accuracy. The machine vision technology is an effective solution. In order to reduce the influence of the size, deformation etc., the target extraction method with fusion of color space and moment invariants is developed. It makes the multiple targets extracted accurately and robustly. The experiments results showed that the developed algorithms are robust, and the robot's flexibility can be improved.

引用

页码：45 / 48

页数：4