Patents by Inventor Guanlai Li

Guanlai Li 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).

  • Publication number: 20230384795
    Abstract: Robot localization or mapping can be provided without requiring the expense or complexity an “at-a-distance” sensor, such as a camera, a LIDAR sensor, or the like. Adjacency-derived landmark features can be used and non-unique landmark features can be accommodated. Uncertainty in robot pose can be tracked and compared to an adaptive threshold, and non-dock and dock-based localization behavior can be controlled based on the uncertainty, the adaptive threshold, one or more other thresholds, and the accessibility of available differently oriented landmark features, such as perpendicularly oriented straight wall segments landmark features. Available features can be sorted according to a quality metric, and path planning and navigation techniques are also included for helping obtain successful wall-following and localization observations.
    Type: Application
    Filed: May 26, 2023
    Publication date: November 30, 2023
    Inventors: Vazgen Karapetyan, Artem Gritsenko, Zacharias Psarakis, Guanlai Li, Daniele Tamino
  • Patent number: 11662743
    Abstract: Robot localization or mapping can be provided without requiring the expense or complexity an “at-a-distance” sensor, such as a camera, a LIDAR sensor, or the like. Adjacency-derived landmark features can be used and non-unique landmark features can be accommodated. Uncertainty in robot pose can be tracked and compared to an adaptive threshold, and non-dock and docks based localization behavior can be controlled based on the uncertainty, the adaptive threshold, one or more other thresholds, and the accessibility of available differently oriented landmark features, such as perpendicularly oriented straight wall segments landmark features. Available features can be sorted according to a quality metric, and path planning and navigation techniques are also included for helping obtain successful wall-following and localization observations.
    Type: Grant
    Filed: September 15, 2020
    Date of Patent: May 30, 2023
    Assignee: iRobot Corporation
    Inventors: Vazgen Karapetyan, Artem Gritsenko, Zacharias Psarakis, Guanlai Li, Daniele Tamino
  • Publication number: 20220080592
    Abstract: Robot localization or mapping can be provided without requiring the expense or complexity an “at-a-distance” sensor, such as a camera, a LIDAR sensor, or the like. Adjacency-derived landmark features can be used and non-unique landmark features can be accommodated. Uncertainty in robot pose can be tracked and compared to an adaptive threshold, and non-dock and docks based localization behavior can be controlled based on the uncertainty, the adaptive threshold, one or more other thresholds, and the accessibility of available differently oriented landmark features, such as perpendicularly oriented straight wall segments landmark features. Available features can be sorted according to a quality metric, and path planning and navigation techniques are also included for helping obtain successful wall-following and localization observations.
    Type: Application
    Filed: September 15, 2020
    Publication date: March 17, 2022
    Inventors: Vazgen Karapetyan, Artem Gritsenko, Zacharias Psarakis, Guanlai Li, Daniele Tamino