Patents by Inventor Evan A. Krause

Evan A. Krause 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).

  • Systems and Methods Enabling Online One-Shot Learning and Generalization by Intelligent Systems of Task-Relevant Features and Transfer to a Cohort of Intelligent Systems
    Publication number: 20240111938
    Abstract: An intelligent system, such as an autonomous robot agent, includes systems and methods to learn various aspects about a task in response to instructions received from a human instructor, to apply the instructed knowledge immediately during task performance following the instruction, and to instruct other intelligent systems about the knowledge for performing the task. The learning is accomplished free of training the intelligent system. The instructions from the human instructor may be provided in a natural language format and may include deictic references. The instructions may be received while the intelligent system is online, and may be provided to the intelligent system in one shot, e.g., in a single encounter or transaction with the human instructor.
    Type: Application
    Filed: May 8, 2023
    Publication date: April 4, 2024
    Inventors: Matthias J. Scheutz, Evan A. Krause
  • Systems and methods enabling online one-shot learning and generalization by intelligent systems of task-relevant features and transfer to a cohort of intelligent systems
    Patent number: 11645444
    Abstract: An intelligent system, such as an autonomous robot agent, includes systems and methods to learn various aspects about a task in response to instructions received from a human instructor, to apply the instructed knowledge immediately during task performance following the instruction, and to instruct other intelligent systems about the knowledge for performing the task. The learning is accomplished free of training the intelligent system. The instructions from the human instructor may be provided in a natural language format and may include deictic references. The instructions may be received while the intelligent system is online, and may be provided to the intelligent system in one shot, e.g., in a single encounter or transaction with the human instructor.
    Type: Grant
    Filed: May 10, 2017
    Date of Patent: May 9, 2023
    Assignee: Trustees of Tufts College
    Inventors: Matthias J. Scheutz, Evan A. Krause
  • SYSTEMS AND METHODS ENABLING ONLINE ONE-SHOT LEARNING AND GENERALIZATION BY INTELLIGENT SYSTEMS OF TASK-RELEVANT FEATURES AND TRANSFER TO A COHORT OF INTELLIGENT SYSTEMS
    Publication number: 20190378019
    Abstract: An intelligent system, such as an autonomous robot agent, includes systems and methods to learn various aspects about a task in response to instructions received from a human instructor, to apply the instructed knowledge immediately during task performance following the instruction, and to instruct other intelligent systems about the knowledge for performing the task. The learning is accomplished free of training the intelligent system. The instructions from the human instructor may be provided in a natural language format and may include deictic references. The instructions may be received while the intelligent system is online, and may be provided to the intelligent system in one shot, e.g., in a single encounter or transaction with the human instructor.
    Type: Application
    Filed: May 10, 2017
    Publication date: December 12, 2019
    Applicant: Trustees of Tufts College
    Inventors: Matthias J. Scheutz, Evan A. Krause