DocumentCode
2081678
Title
Detection of abnormal movement of industrial robots using image sequence
Author
Seki, Hirokazu ; Hori, Yoichi
Author_Institution
Dept. of Electr. Eng., Univ. of Tokyo, Japan
Volume
3
fYear
2001
fDate
2001
Firstpage
1698
Abstract
In this paper, a monitoring system for industrial robots working in factories is proposed. This system automatically detects different movement from reference and immediately reports to the operator. It has the advantage that there is no need to receive any signal from the robot controller because it only observes with a simple camera such as CCD. For the detection method, an eigenspace method is used which is excellent in compression of image data and calculation of the correlation among images. Parametric eigenspace method (PEM) is also used to detect abnormalities such as the speed of movement. Some experiments using 2-axis robot show the effectiveness of the proposed method
Keywords
eigenvalues and eigenfunctions; image sequences; industrial robots; monitoring; robot vision; 2-axis robot; CCD; factories; image sequences; industrial robots abnormal movement detection; monitoring system; movement speed; parametric eigenspace method; robot controller; Automatic control; Cameras; Charge-coupled image sensors; Electrical equipment industry; Monitoring; Production facilities; Robot control; Robot vision systems; Robotics and automation; Service robots;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE
Conference_Location
Denver, CO
Print_ISBN
0-7803-7108-9
Type
conf
DOI
10.1109/IECON.2001.975543
Filename
975543
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