Patents by Inventor Siddharth Karamcheti

Siddharth Karamcheti 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).

  • Interpreting human-robot instructions
    Patent number: 11086938
    Abstract: A system includes a robot having a module that includes a function for mapping natural language commands of varying complexities to reward functions at different levels of abstraction within a hierarchical planning framework, the function including using a deep neural network language model that learns how to map the natural language commands to reward functions at an appropriate level of the hierarchical planning framework.
    Type: Grant
    Filed: March 2, 2020
    Date of Patent: August 10, 2021
    Assignee: Brown University
    Inventors: Stefanie Tellex, Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Lawson L. S. Wong
  • INTERPRETING HUMAN-ROBOT INSTRUCTIONS
    Publication number: 20200201914
    Abstract: A system includes a robot having a module that includes a function for mapping natural language commands of varying complexities to reward functions at different levels of abstraction within a hierarchical planning framework, the function including using a deep neural network language model that learns how to map the natural language commands to reward functions at an appropriate level of the hierarchical planning framework.
    Type: Application
    Filed: March 2, 2020
    Publication date: June 25, 2020
    Inventors: Stefanie TELLEX, Dilip ARUMUGAM, Siddharth KARAMCHETI, Nakul GOPALAN, Lawson L.S. WONG
  • Interpreting human-robot instructions
    Patent number: 10606898
    Abstract: A system includes a robot having a module that includes a function for mapping natural language commands of varying complexities to reward functions at different levels of abstraction within a hierarchical planning framework, the function including using a deep neural network language model that learns how to map the natural language commands to reward functions at an appropriate level of the hierarchical planning framework.
    Type: Grant
    Filed: April 19, 2018
    Date of Patent: March 31, 2020
    Assignee: Brown University
    Inventors: Stefanie Tellex, Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Lawson L. S. Wong
  • INTERPRETING HUMAN-ROBOT INSTRUCTIONS
    Publication number: 20180307779
    Abstract: A system includes a robot having a module that includes a function for mapping natural language commands of varying complexities to reward functions at different levels of abstraction within a hierarchical planning framework, the function including using a deep neural network language model that learns how to map the natural language commands to reward functions at an appropriate level of the hierarchical planning framework.
    Type: Application
    Filed: April 19, 2018
    Publication date: October 25, 2018
    Applicant: Brown University
    Inventors: Stefanie Tellex, Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan, Lawson L.S. Wong