Patents by Inventor Nishad Gothoskar

Nishad Gothoskar 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).

  • METHOD AND SYSTEM FOR ROBOT CONTROL USING VISUAL FEEDBACK
    Publication number: 20220024042
    Abstract: A method for robot control using visual feedback including determining a generative model S100, training the generative model S200, and controlling the robot using the trained generative model S300.
    Type: Application
    Filed: October 6, 2021
    Publication date: January 27, 2022
    Inventors: Nishad Gothoskar, Miguel Lazaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Dileep George
  • METHOD AND SYSTEM FOR QUERY TRAINING
    Publication number: 20220012562
    Abstract: The method for query training can include: determining a graphical representation, determining an inference network based on the graphical representation, determining a query distribution, sampling one or more train queries from the query distribution, and optionally determining a trained inference network by training the untrained inference network using the train query. The method can optionally include determining an inference query and determining an inference query result for the inference query using the trained inference network.
    Type: Application
    Filed: September 23, 2021
    Publication date: January 13, 2022
    Inventors: Miguel Lazaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George
  • Method and system for robot control using visual feedback
    Patent number: 11173610
    Abstract: A method for robot control using visual feedback including determining a generative model S100, training the generative model S200, and controlling the robot using the trained generative model S300.
    Type: Grant
    Filed: November 13, 2020
    Date of Patent: November 16, 2021
    Assignee: Vicarious FPC, Inc.
    Inventors: Nishad Gothoskar, Miguel Lazaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Dileep George
  • Method and system for query training
    Patent number: 11157793
    Abstract: The method for query training can include: determining a graphical representation, determining an inference network based on the graphical representation, determining a query distribution, sampling one or more train queries from the query distribution, and optionally determining a trained inference network by training the untrained inference network using the train query. The method can optionally include determining an inference query and determining an inference query result for the inference query using the trained inference network.
    Type: Grant
    Filed: October 22, 2020
    Date of Patent: October 26, 2021
    Assignee: Vicarious FPC, Inc.
    Inventors: Miguel Lazaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George
  • METHOD AND SYSTEM FOR ROBOT CONTROL USING VISUAL FEEDBACK
    Publication number: 20210138656
    Abstract: A method for robot control using visual feedback including determining a generative model S100, training the generative model S200, and controlling the robot using the trained generative model S300.
    Type: Application
    Filed: November 13, 2020
    Publication date: May 13, 2021
    Inventors: Nishad Gothoskar, Miguel Lazaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Dileep George
  • METHOD AND SYSTEM FOR QUERY TRAINING
    Publication number: 20210125030
    Abstract: The method for query training can include: determining a graphical representation, determining an inference network based on the graphical representation, determining a query distribution, sampling one or more train queries from the query distribution, and optionally determining a trained inference network by training the untrained inference network using the train query. The method can optionally include determining an inference query and determining an inference query result for the inference query using the trained inference network.
    Type: Application
    Filed: October 22, 2020
    Publication date: April 29, 2021
    Inventors: Miguel Lazaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George
  • METHOD AND SYSTEM FOR DETERMINING AND USING A CLONED HIDDEN MARKOV MODEL
    Publication number: 20200334560
    Abstract: The system and method for determining and using a cloned hidden Markov model (CHMM) preferably including: determining an initial CHMM, learning a final CHMM, and using the final CHMM, wherein the CHMM includes a transition probability data structure and an observation probability data structure.
    Type: Application
    Filed: April 20, 2020
    Publication date: October 22, 2020
    Inventors: Nishad Gothoskar, Dileep George, Miguel Larzaro-Gredilla