Kohse, MartinMartinKohseHauffe-Waschbüsch, TobiasTobiasHauffe-WaschbüschDay, RobinRobinDayBergs, ThomasThomasBergs2023-07-112023-07-112022https://publica.fraunhofer.de/handle/publica/4454152-s2.0-85145601059Laser structuring is an effective way to functionalize or texture components. For the machining of large components > 500 x 500 mm, precision machine tools costing up to €1.5 mio are needed. This circumstance leads to a limited market applicability. Fraunhofer IPT is developing a cost-efficient laser structuring solution making it possible to scale up maximum processing area by mounting the laser structuring head on an industrial robot. However, high positioning accuracy of < 5 µm is needed for laser structuring while an industrial robot system delivers a maximum position repeatability of about 70 µm. Fraunhofer IPT has developed a compensation strategy using an inline camera setup. The system detects reference features of markers and texture by using FAST algorithm for corner detection with a laplacian image pyramid. The current system is capable to set exposure times automatically and to compensate position inaccuracies of up to 1 mm to an overall accuracy of < 5 µm despite a camera chip resolution of 5.3 µm/px. In this contribution we present an overview of the compensation algorithm with an evaluation method for process stabilization and identify challenges, e.g. illumination and material properties will be addressed.encomputer visionlarge partsLaser structuringprocess controlRobotconference paper