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 №

US 11,645,444

Granted

2023-05-09

Filed 2018

Owner

TRUSTEES OF TUFTS COLLEGE

Lab

AI components

7

ml · nlp · vision · speech · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16098785

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.

Machine learningNatural languageVisionSpeechKnowledge representationPlanningAI hardwareG06F 40/00G06N 3/006G06F 16/3344G06F 16/90332G10L 15/18G05B 2219/39251G05B 2219/39252G05B 2219/39473+3 more

AI classification

Natural language1.00
Speech1.00
Machine learning1.00
AI hardware1.00
Planning1.00
Knowledge representation0.99
Vision0.85
Evolutionary computation0.00

Ownership

TRUSTEES OF TUFTS COLLEGE

assignment · 629840022

From the same owner

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