A Self Calibration System Using Block Interpolation in the Industrial Assembly Line

This paper proposes a 3-D position compensation method of robot working points that are used in industrial vehicle assembly lines for an equipment glass. The proposed method uses a laser sensor and a vision camera. Because the laser sensor is a cross type sensor which can scan a horizontal and vertical line, it is an efficient way to detect a feature of vehicle and winding shape of vehicle body. For position compensation of 3-Dimensional axes, we applied block interpolation method using pattern matching method and cross point of laser slit in input image. A 3-D position is selected by Euclidean distance mapping between 315 feature values and evaluated feature points. Because these points are in the robot process program, the processing time is more quickly than that of the computer program. In order to evaluate the proposed algorithm, experiments are performed glass equipment system in real industrial vehicle assembly line. As the result of the field test, it shows that working point of robot can be displayed 3-D points.

[1]  Antonios Tsourdos,et al.  Feature based robot navigation: using fuzzy logic and interval analysis , 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

[2]  G. Pritschow,et al.  Reducing distortions caused by the welding arc in a laser stripe sensor system for automated seam tracking , 1999, ISIE '99. Proceedings of the IEEE International Symposium on Industrial Electronics (Cat. No.99TH8465).

[3]  Won-Ho Choi,et al.  A 3-D Position Compensation Method of Industrial Robot Using Block Interpolation , 2007 .

[4]  Sehun Rhee,et al.  Three-dimensional inspection of ball grid array using laser vision system , 1999 .

[5]  Hagit Hel-Or,et al.  Irregular pattern matching using projections , 2005, IEEE International Conference on Image Processing 2005.

[6]  Hui-Min Zhang,et al.  The correlation template matching algorithm based TD filter and ESO filter , 2005, 2005 International Conference on Machine Learning and Cybernetics.

[8]  M. Shibata,et al.  Solution for stereo correspondences on active stereo vision robot , 2004, The 8th IEEE International Workshop on Advanced Motion Control, 2004. AMC '04..