Patents by Inventor Yu She

Yu She 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: 12620107
    Abstract: Retrographic sensors described herein may provide smaller sensors capable of high-resolution three-dimensional reconstruction of an object in contact with the sensor. Such sensors may be used by robots for work in narrow environments, fine manipulation tasks, and other applications. To provide a smaller sensor, a reduced number of light sources may be provided in the sensor in some embodiments. For example, three light sources, two light sources, or one light source, may be used in some sensors. When fewer light sources are provided, full color gradient information may not be provided. Instead, the missing gradients in one direction or other information related to a three-dimensional object in contact with the sensor may be determined using gradients in a different direction that were provided by the real data. This may be done using a trained statistical model, such as a neural network, in some embodiments.
    Type: Grant
    Filed: January 6, 2022
    Date of Patent: May 5, 2026
    Assignee: Massachusetts Institute of Technology
    Inventors: Shaoxiong Wang, Branden Romero, Yu She, Edward Adelson
  • Publication number: 20240153115
    Abstract: Retrographic sensors described herein may provide smaller sensors capable of high-resolution three-dimensional reconstruction of an object in contact with the sensor. Such sensors may be used by robots for work in narrow environments, fine manipulation tasks, and other applications. To provide a smaller sensor, a reduced number of light sources may be provided in the sensor in some embodiments. For example, three light sources, two light sources, or one light source, may be used in some sensors. When fewer light sources are provided, full color gradient information may not be provided. Instead, the missing gradients in one direction or other information related to a three-dimensional object in contact with the sensor may be determined using gradients in a different direction that were provided by the real data. This may be done using a trained statistical model, such as a neural network, in some embodiments.
    Type: Application
    Filed: January 6, 2022
    Publication date: May 9, 2024
    Applicant: Massachusetts Institute of Technology
    Inventors: Shaoxiong Wang, Branden Romero, Yu She, Edward Adelson