Patents by Inventor Adrian Garcea

Adrian Garcea has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method for controlling a laser processing operation by means of a reinforcement learning agent and laser material processing head using the same
    Patent number: 9373163
    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.
    Type: Grant
    Filed: June 28, 2011
    Date of Patent: June 21, 2016
    Assignees: PRECITEC KG, PRECITEC ITM GMBH
    Inventors: Ingo Stork Genannt Wersborg, Adrian Garcea
  • METHOD FOR CONTROLLING A LASER PROCESSING OPERATION BY MEANS OF A REINFORCEMENT LEARNING AGENT AND LASER MATERIAL PROCESSING HEAD USING THE SAME
    Publication number: 20130178953
    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.
    Type: Application
    Filed: June 28, 2011
    Publication date: July 11, 2013
    Applicants: PRECITEC ITM GMBH, PRECITEC KG
    Inventors: Ingo Stork Genannt Wersborg, Adrian Garcea