Patents by Inventor Daniel Greb

Daniel Greb 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).

  • Patent number: 12515321
    Abstract: A method for generating a training data set for training an industrial robot which can be trained based on a corresponding training data set, comprising: providing a first imaging information, which describes a first one- or multi-dimensional image of an object which is to be relocated by means of an industrial robot which is to be trained on the basis of the training data set to be generated; processing the first imaging information to generate further imaging information, which describes at least one artificially generated further one- or multi-dimensional image of the object which is to be moved by means of an industrial robot which is to be trained on the basis of the training data set to be generated; and processing the further imaging information to generate a training data set for training an industrial robot which can be trained on the basis of the training data set.
    Type: Grant
    Filed: May 10, 2021
    Date of Patent: January 6, 2026
    Assignee: Gerhard Schubert GmbH
    Inventor: Daniel Greb
  • Patent number: 12365551
    Abstract: Method for controlling the operation of an industrial robot configured in particular to carry out pick-and-place or singulation tasks.
    Type: Grant
    Filed: May 10, 2021
    Date of Patent: July 22, 2025
    Assignee: Gerhard Schubert GmbH
    Inventors: Volker Haaf, Daniel Greb
  • Publication number: 20230234226
    Abstract: Method for controlling the operation of at least one machine (1), which is in particular configured to carry out pick-and-place or singulation tasks on objects (2), wherein the machine (1) comprises at least one functional device that comprises at least one functional element for carrying out at least one task, wherein the operation of the machine (1) is controlled on the basis of control information in order to carry out the at least one task, wherein the control information is generated on the basis of a plurality of task parameter types (APT) that relate to the operation of the machine (1) in order to carry out the task, wherein the task parameter types (APT) are stored on at least one data storage device (10) in a linked manner on the basis of predefined links specific to the task parameter types.
    Type: Application
    Filed: May 10, 2021
    Publication date: July 27, 2023
    Inventors: Volker Haaf, Daniel Greb
  • Publication number: 20230202035
    Abstract: A method for generating a training data set for training an industrial robot which can be trained based on a corresponding training data set, comprising: providing a first imaging information, which describes a first one- or multi-dimensional image of an object which is to be relocated by means of an industrial robot which is to be trained on the basis of the training data set to be generated; processing the first imaging information to generate further imaging information, which describes at least one artificially generated further one- or multi-dimensional image of the object which is to be moved by means of an industrial robot which is to be trained on the basis of the training data set to be generated; and processing the further imaging information to generate a training data set for training an industrial robot which can be trained on the basis of the training data set.
    Type: Application
    Filed: May 10, 2021
    Publication date: June 29, 2023
    Inventor: Daniel Greb
  • Publication number: 20230192421
    Abstract: Method for controlling the operation of an industrial robot configured in particular to carry out pick-and-place or singulation tasks.
    Type: Application
    Filed: May 10, 2021
    Publication date: June 22, 2023
    Inventors: Volker Haaf, Daniel Greb