Abstract: The present invention relates to a laser material processing system for processing a workpiece by means of a laser beam, comprising an optical system having at least one optical component for focusing the laser beam to form a focal point on the workpiece or in a defined position relative to the workpiece, at least one inertial sensor for detecting a transitional and/or rotational acceleration of the at least one optical component of the optical system and/or the workpiece, and a processing unit connected to the at least one inertial sensor for determining a relative transitional and/or rotational acceleration between the focal point and the workpiece.

Abstract: A method for monitoring a laser machining operation to be performed on a workpiece by detecting at least two current measured valued by at least one sensor which monitors the laser machining operation and determining at least two current characteristic values from the at least two current measured value, wherein the at least two current characteristic values jointly represent a current fingerprint in a characteristic value space and providing a predetermined point set in a characteristic value space, and classifying the laser machining operation by\detecting the position of the current fingerprint relative to the predetermined point set in the characteristic value space.

Abstract: 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 st, wherein the workpiece is processed using an actuator having an initial actuator value at; (b) determining a basis function ?(st) from the set of sensor signals st; (c) determining a reward function rt giving the probability of good results of the processing operation; (d) choosing a next actuator value at+1 on the basis of a policy ? depending on the reward function rt and the basis function ?(st); and (e) repeating the steps (a) to (d) for further time points to perform a RL controlled processing operation.

Abstract: The present invention relates to a method for closed-loop controlling a processing operation of a workpiece, comprising the steps of: (a) recording a pixel image at an initial time point of an interaction zone by means of a camera, wherein the workpiece is processed using an actuator having an initial actuator value; (b) converting the pixel image into a pixel vector; (c) representing the pixel vector by a sum of predetermined pixel mappings each multiplied by a corresponding feature value; (d) classifying the set of feature values on the basis of learned feature values into at least two classes of a group of classes comprising a first class of a too high actuator value, a second class of a sufficient actuator value and a third class of a too low actuator value at the initial time point; (e) performing a control step for adapting the actuator value by minimizing the error et between a quality indicator ye and a desired value; and (f) repeating the steps (a) to (e) for further time points to perform a closed-l

Abstract: The present invention relates to a method for classifying a multitude of images recorded by a camera observing a processing area of a workpiece processed by a processing beam, comprising the steps of: recording a first pixel image and a multitude of subsequent pixel images by the camera during a processing operation; detecting mismatches of a position and orientation of a keyhole generated by the processing beam in the workpiece within an image plane of the subsequent pixel images in comparison to the first pixel image; compensating the mismatches of the position and orientation of the respective keyholes in the subsequent pixel images with regard to the first pixel image, to produce a set of pixel images having each a normalized keyhole position and orientation; classifying the set of normalized pixel images into at least two classes by means of a classifier.

Abstract: The invention relates to a method for monitoring a laser machining operation to be performed on a workpiece, comprising the following steps: detecting at least two current measured values by at least one sensor, which monitors the laser machining operation, determining at least two current characteristic values from the at least two current measured values, wherein the at least two current characteristic values jointly represent a current fingerprint in a characteristic value space, providing a predetermined point set in the characteristic value space, and classifying the laser machining operation by detecting the position of the current fingerprint relative to the predetermined point set in the characteristic value space, wherein the at least one sensor comprises at least one camera unit, which records camera images with different exposure times and processes them together by using a high dynamic range (HDR) method, in order to provide images having a high contrast ratio as the current measured values.

Abstract: The present invention relates to a laser material processing system for processing a workpiece by means of a laser beam, comprising an optical system having at least one optical component for focusing the laser beam to form a focal point on the workpiece or in a defined position relative to the workpiece, at least one inertial sensor for detecting a transitional and/or rotational acceleration of the at least one optical component of the optical system and/or the workpiece, and a processing unit connected to the at least one inertial sensor for determining a relative transitional and/or rotational acceleration between the focal point and the workpiece.

Abstract: The present invention relates to a method for classifying a multitude of images recorded by a camera observing a processing area of a workpiece processed by a processing beam, comprising the steps of: recording a first pixel image and a multitude of subsequent pixel images by the camera during a processing operation; detecting mismatches of a position and orientation of a keyhole generated by the processing beam in the workpiece within an image plane of the subsequent pixel images in comparison to the first pixel image; compensating the mismatches of the position and orientation of the respective keyholes in the subsequent pixel images with regard to the first pixel image, to produce a set of pixel images having each a normalized keyhole position and orientation; classifying the set of normalized pixel images into at least two classes by means of a classifier.

Abstract: The present invention relates to a method for closed-loop controlling a processing operation of a workpiece, comprising the steps of: (a) recording a pixel image at an initial time point of an interaction zone by means of a camera, wherein the workpiece is processed using an actuator having an initial actuator value; (b) converting the pixel image into a pixel vector; (c) representing the pixel vector by a sum of predetermined pixel mappings each multiplied by a corresponding feature value; (d) classifying the set of feature values on the basis of learned feature values into at least two classes of a group of classes comprising a first class of a too high actuator value, a second class of a sufficient actuator value and a third class of a too low actuator value at the initial time point; (e) performing a control step for adapting the actuator value by minimizing the error et between a quality indicator ye and a desired value; and (f) repeating the steps (a) to (e) for further time points to perform a closed-l

Abstract: 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 st, wherein the workpiece is processed using an actuator having an initial actuator value at; (b) determining a basis function ?(st) from the set of sensor signals st; (c) determining a reward function rt giving the probability of good results of the processing operation; (d) choosing a next actuator value at+1 on the basis of a policy ? depending on the reward function rt and the basis function ?(st); and (e) repeating the steps (a) to (d) for further time points to perform a RL controlled processing operation.

Abstract: The invention relates to a laser machining head (100) for machining a workpiece by means of a working laser beam (108), with a camera (102) with an imaging lens system (116) arranged in front of said camera in the beam path for observing a machining region of the workpiece that is being machined by means of the working laser beam (108), with a focusing lens system (114) for focusing the working laser beam (108) on the workpiece surface (104) or on a position defined in relation to the workpiece surface (104), and with an evaluation unit (122) which is designed to calculate a corrective adjusting displacement (?Zos, ?ZB) by means of an adjusting displacement (?dKL) of the imaging lens system (116) in the direction of the optical axis in order to refocus the camera image when there is a shift in the focal point of the focusing lens system (114), which corrective adjustment displacement compensates a shift in the focal point of the focusing lens system (114) in relation to the workpiece surface (104) or with res