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
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;
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
DOI :
10.1109/IECON.2001.975543