Patents by Inventor Barrett Clark

Barrett Clark 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: 12380587
    Abstract: A method for vision-based tool localization (VTL) in a robotic assembly system including one or more calibrated cameras, the method comprising capturing a plurality of images of the tool contact area from a plurality of different vantage points, determining an estimated position of the tool contact area based on an image, and refining the estimated position based on another image from another vantage point. The method further comprises providing the refined position to the robotic assembly system to enable accurate control of the tool by the robotic assembly system.
    Type: Grant
    Filed: July 12, 2022
    Date of Patent: August 5, 2025
    Assignee: Bright Machines, Inc.
    Inventors: Barrett Clark, Oytun Akman, Matthew Brown, Ronald Poelman, Brian Philip Mathews, Emmanuel Gallo, Ali Shafiekhani
  • Patent number: 12204314
    Abstract: A robotic cell calibration method comprising a robotic cell system having elements comprising: one or more cameras, one or more sensors, components, and a robotic arm. The method comprises localizing positions of the one or more cameras and components relative to a position of the robotic arm using a common coordinate frame, moving the robotic arm in a movement pattern, and using the cameras and sensors to determine robotic arm position at multiple times during the movement. The method includes identifying a discrepancy in robotic arm position between a predicted position and the determined position in real time, and computing, by an auto-calibrator, a compensation for the identified discrepancy, the auto-calibrator solving for the elements in the robotic cell system as a system. The method includes modifying actions of the robotic arm in real time during the movement based on the compensation.
    Type: Grant
    Filed: November 9, 2021
    Date of Patent: January 21, 2025
    Assignee: Bright Machines, Inc.
    Inventors: Ronald Poelman, Barrett Clark, Oytun Akman, Matthew Brown
  • Publication number: 20230015238
    Abstract: A method for vision-based tool localization (VTL) in a robotic assembly system including one or more calibrated cameras, the method comprising capturing a plurality of images of the tool contact area from a plurality of different vantage points, determining an estimated position of the tool contact area based on an image, and refining the estimated position based on another image from another vantage point. The method further comprises providing the refined position to the robotic assembly system to enable accurate control of the tool by the robotic assembly system.
    Type: Application
    Filed: July 12, 2022
    Publication date: January 19, 2023
    Applicant: Bright Machines, Inc.
    Inventors: Barrett Clark, Oytun Akman, Matthew Brown, Ronald Poelman, Brian Philip Mathews, Emmanuel Gallo, Ali Shafiekhani
  • Publication number: 20220147026
    Abstract: A robotic cell calibration method comprising a robotic cell system having elements comprising: one or more cameras, one or more sensors, components, and a robotic arm. The method comprises localizing positions of the one or more cameras and components relative to a position of the robotic arm using a common coordinate frame, moving the robotic arm in a movement pattern, and using the cameras and sensors to determine robotic arm position at multiple times during the movement. The method includes identifying a discrepancy in robotic arm position between a predicted position and the determined position in real time, and computing, by an auto-calibrator, a compensation for the identified discrepancy, the auto-calibrator solving for the elements in the robotic cell system as a system. The method includes modifying actions of the robotic arm in real time during the movement based on the compensation.
    Type: Application
    Filed: November 9, 2021
    Publication date: May 12, 2022
    Applicant: Bright Machines, Inc.
    Inventors: Ronald Poelman, Barrett Clark, Oytun Akman, Matthew Brown