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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.

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