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Programming of industrial robots is normally carried out via so-called "Teach" or "Offline" programming methodologies. Both methodologies have associated weaknesses like a high time consumption for programming on sculptured surfaces (especially "Teach"), and both methodologies cannot, at the same time, carry information of the real work piece and the ideal work piece (CAD-model). To be able to see both the real and ideal world is especially important when the industrial robot is used in manufacturing processes like machining, grinding, deburring etc. where the difference between the real and ideal world represents the material removal. This paper presents a new vision based programming methodology which combines information of the real and ideal world, especially adapted for robot grinding and deburring operations. Further, the presented methodology is especially developed with simplicity in mind …