Precitec Kg

Precitec Itm Gmbh

Precitec Gmbh & Co. Kg

Precitec Itm Gmbh & Co. Kg

Adrian Garcea

Ingo Stork Genannt Wersborg

The present invention relates to a method for controlling a processing operation of a workpiece by means of a Reinforcement Learning (RL) agent unit, comprising the steps of: (a) observing an interaction zone in the workpiece by means of at least one radiation sensor to generate at least one sensor signal s, wherein the workpiece is processed using an actuator having an initial actuator value a; (b) determining a basis function &#x3a6;(s) from the set of sensor signals s; (c) determining a reward function rgiving the probability of good results of the processing operation; (d) choosing a next actuator value aon the basis of a policy &#x3c0; depending on the reward function rand the basis function &#x3a6;(s); and (e) repeating the steps (a) to (d) for further time points to perform a RL controlled processing operation.

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Karlsruhe, Germany

Adrian Garcea