Patents by Inventor Guanya Shi

Guanya Shi 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).

  • Data selection based on uncertainty quantification
    Patent number: 11941899
    Abstract: Apparatuses, systems, and techniques generate poses of an object based on image data of the object obtained from a first viewpoint of the object and a second viewpoint of the object. The poses can be evaluated to determine a portion of the image data usable by an estimator to generate a pose of the object.
    Type: Grant
    Filed: May 26, 2021
    Date of Patent: March 26, 2024
    Assignee: NVIDIA Corporation
    Inventors: Jonathan Tremblay, Fabio Tozeto Ramos, Yuke Zhu, Anima Anandkumar, Guanya Shi
  • Data selection based on uncertainty quantification
    Patent number: 11931909
    Abstract: Apparatuses, systems, and techniques generate poses of an object based on data of the object observed from a first viewpoint and a second viewpoint. The poses can be evaluated to determine a portion of the data usable by an estimator to generate a pose of the object.
    Type: Grant
    Filed: May 26, 2021
    Date of Patent: March 19, 2024
    Assignee: NVIDIA Corporation
    Inventors: Jonathan Tremblay, Fabio Tozeto Ramos, Yuke Zhu, Anima Anandkumar, Guanya Shi
  • Systems and methods for robust learning-based control during forward and landing flight under uncertain conditions
    Patent number: 11693373
    Abstract: Systems and methods for learning based control in accordance with embodiments of the invention are illustrated. One embodiment includes a method for training an adaptive controller. The method includes steps for receiving a set of training data that includes several training samples, wherein each training sample includes a state and a true uncertain effect value. The method includes steps for computing an uncertain effect value based on the state, computing a set of one or more losses based on the true uncertain effect value and the computed uncertain effect value, and updating the adaptive controller based on the computed set of losses.
    Type: Grant
    Filed: December 10, 2019
    Date of Patent: July 4, 2023
    Assignee: California Institute of Technology
    Inventors: Guanya Shi, Xichen Shi, Michael O'Connell, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung
  • DATA SELECTION BASED ON UNCERTAINTY QUANTIFICATION
    Publication number: 20220383019
    Abstract: Apparatuses, systems, and techniques generate poses of an object based on image data of the object obtained from a first viewpoint of the object and a second viewpoint of the object. The poses can be evaluated to determine a portion of the image data usable by an estimator to generate a pose of the object.
    Type: Application
    Filed: May 26, 2021
    Publication date: December 1, 2022
    Inventors: Jonathan Tremblay, Fabio Tozeto Ramos, Yuke Zhu, Anima Anandkumar, Guanya Shi
  • DATA SELECTION BASED ON UNCERTAINTY QUANTIFICATION
    Publication number: 20220379484
    Abstract: Apparatuses, systems, and techniques generate poses of an object based on data of the object observed from a first viewpoint and a second viewpoint. The poses can be evaluated to determine a portion of the data usable by an estimator to generate a pose of the object.
    Type: Application
    Filed: May 26, 2021
    Publication date: December 1, 2022
    Inventors: Jonathan Tremblay, Fabio Tozeto Ramos, Yuke Zhu, Anima Anandkumar, Guanya Shi
  • Systems and Methods for Robust Learning-Based Control During Forward and Landing Flight Under Uncertain Conditions
    Publication number: 20200183339
    Abstract: Systems and methods for learning based control in accordance with embodiments of the invention are illustrated. One embodiment includes a method for training an adaptive controller. The method includes steps for receiving a set of training data that includes several training samples, wherein each training sample includes a state and a true uncertain effect value. The method includes steps for computing an uncertain effect value based on the state, computing a set of one or more losses based on the true uncertain effect value and the computed uncertain effect value, and updating the adaptive controller based on the computed set of losses.
    Type: Application
    Filed: December 10, 2019
    Publication date: June 11, 2020
    Applicant: California Institute of Technology
    Inventors: Guanya Shi, Xichen Shi, Michael O'Connell, Animashree Anandkumar, Yisong Yue, Soon-Jo Chung