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A method and a device for ascertaining control parameters in a computer-assisted manner for handling a technical system is provided. A starting state and the surroundings of the technical system are detected using at least one sensor, and a physical simulation model of the technical system is generated using same. On the basis of the starting state, different combinations of handling steps of the technical system are simulated with respect to a specified target state using the simulation model, wherein control parameters of the technical system for carrying out the handling steps are varied. The simulation data is used to train a machine learning routine by an evaluation of each handling step, and the trained machine learning routine is used to ascertain an optimized combination of handling steps. The control parameters of the optimized combination of handling steps are output to control the technical system is also provided.