A 3-D Position Compensation Method of Industrial Robot Using Block Interpolation

This paper proposes a self-calibration method of robots those are use in industrial vehicle assembly lines. The proposed method is a position compensation using laser sensor and vision cameras. Because the laser sensor is cross type sensor which can scan a horizontal and vertical line, it is efficient way to detect a feature of vehicle and winding shape of vehicle´s body. For position compensation of 3-Dimensional axis, we applied block interpolation method. For selecting feature point, pattern matching method is used and 3-D position is selected by Euclidean distance mapping between 462 feature values and evaluated feature point. In order to evaluate the proposed algorithm, experiments are performed in real industrial vehicle assembly line. As the result of the field test, it shows that robot´s working point can be displayed 3-D points. These points are used to diagnosis error of position and reselecting working point.