Patents by Inventor Marco Todescato

Marco Todescato 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: 11986960
    Abstract: A method for training a machine learning model to recognize an object topology of an object from an image of the object. The method includes: obtaining a 3D model of the object; determining a descriptor component value for each vertex of the grid; generating training data image pairs each having a training input image and a target image. The target image is generated by determining the vertex positions in the training input image; assigning the descriptor component value determined for the vertex at the vertex position to the position in the target image; and adapting at least some of the descriptor component values assigned to the positions in the target image or adding descriptor component values to the positions of the target image.
    Type: Grant
    Filed: November 9, 2021
    Date of Patent: May 21, 2024
    Assignee: ROBERT BOSCH GMBH
    Inventors: Andras Gabor Kupcsik, Marco Todescato, Markus Spies, Nicolai Waniek, Philipp Christian Schillinger, Mathias Buerger
  • Patent number: 11964400
    Abstract: A method for controlling a robot to pick up an object in various positions. The method includes: defining a plurality of reference points on the object; mapping a first camera image of the object in a known position onto a first descriptor image; identifying the descriptors of the reference points from the first descriptor image; mapping a second camera image of the object in an unknown position onto a second descriptor image; searching the identified descriptors of the reference points in the second descriptor image; ascertaining the positions of the reference points in the three-dimensional space in the unknown position from the found positions; and ascertaining a pickup pose of the object for the unknown position from the ascertained positions of the reference points.
    Type: Grant
    Filed: November 8, 2021
    Date of Patent: April 23, 2024
    Assignee: ROBERT BOSCH GMBH
    Inventors: Andras Gabor Kupcsik, Marco Todescato, Markus Spies, Nicolai Waniek, Philipp Christian Schillinger, Mathias Buerger
  • Patent number: 11498212
    Abstract: A method for planning a manipulation task of an agent, particularly a robot. The method includes: learning a number of manipulation skills wherein a symbolic abstraction of the respective manipulation skill is generated; determining a concatenated sequence of manipulation skills selected from the number of learned manipulation skills based on their symbolic abstraction so that a given goal specification indicating a given complex manipulation task is satisfied; and executing the sequence of manipulation skills.
    Type: Grant
    Filed: June 4, 2020
    Date of Patent: November 15, 2022
    Assignee: Robert Bosch GmbH
    Inventors: Andras Gabor Kupcsik, Leonel Rozo, Marco Todescato, Markus Spies, Markus Giftthaler, Mathias Buerger, Meng Guo, Nicolai Waniek, Patrick Kesper, Philipp Christian Schillinger
  • Publication number: 20220152818
    Abstract: A method for training a machine learning model to recognize an object topology of an object from an image of the object. The method includes: obtaining a 3D model of the object; determining a descriptor component value for each vertex of the grid; generating training data image pairs each having a training input image and a target image. The target image is generated by determining the vertex positions in the training input image; assigning the descriptor component value determined for the vertex at the vertex position to the position in the target image; and adapting at least some of the descriptor component values assigned to the positions in the target image or adding descriptor component values to the positions of the target image.
    Type: Application
    Filed: November 9, 2021
    Publication date: May 19, 2022
    Inventors: Andras Gabor Kupcsik, Marco Todescato, Markus Spies, Nicolai Waniek, Philipp Christian Schillinger, Mathias Buerger
  • Publication number: 20220152834
    Abstract: A method for controlling a robot to pick up an object in various positions. The method includes: defining a plurality of reference points on the object; mapping a first camera image of the object in a known position onto a first descriptor image; identifying the descriptors of the reference points from the first descriptor image; mapping a second camera image of the object in an unknown position onto a second descriptor image; searching the identified descriptors of the reference points in the second descriptor image; ascertaining the positions of the reference points in the three-dimensional space in the unknown position from the found positions; and ascertaining a pickup pose of the object for the unknown position from the ascertained positions of the reference points.
    Type: Application
    Filed: November 8, 2021
    Publication date: May 19, 2022
    Inventors: Andras Gabor Kupcsik, Marco Todescato, Markus Spies, Nicolai Waniek, Philipp Christian Schillinger, Mathias Buerger
  • Publication number: 20200398427
    Abstract: A method for planning a manipulation task of an agent, particularly a robot. The method includes: learning a number of manipulation skills wherein a symbolic abstraction of the respective manipulation skill is generated; determining a concatenated sequence of manipulation skills selected from the number of learned manipulation skills based on their symbolic abstraction so that a given goal specification indicating a given complex manipulation task is satisfied; and executing the sequence of manipulation skills.
    Type: Application
    Filed: June 4, 2020
    Publication date: December 24, 2020
    Inventors: Andras Gabor Kupcsik, Leonel Rozo, Marco Todescato, Markus Spies, Markus Giftthaler, Mathias Buerger, Meng Guo, Nicolai Waniek, Patrick Kesper, Philipp Christian Schillinger