Sequence-to-Sequence Language Grounding of Non-Markovian Task Specifications

Patent №

US 11,034,019

Granted

2021-06-15

Filed 2019

Owner

BROWN UNIVERSITY

Lab

AI components

7

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

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16388651

A method includes enabling a robot to learn a mapping between English language commands and Linear Temporal Logic (LTL) expressions, wherein neural sequence-to-sequence learning models are employed to infer a LTL sequence corresponding to a given natural language command.

Machine learningNatural languageVisionSpeechKnowledge representationPlanningAI hardwareB25J 9/161B25J 9/163G06N 3/0442G06N 3/0455G06N 3/047G06N 3/08G06N 3/09G06N 7/01+7 more

AI classification

Machine learning1.00
Natural language1.00
Speech1.00
Planning1.00
Knowledge representation1.00
AI hardware1.00
Vision0.58
Evolutionary computation0.00

Ownership

BROWN UNIVERSITY

assignment · 542670782

Assignors

TELLEX, STEFANIE, ARUMUGAM, DILIP, GOPALAN, NAKUL, WONG, LAWSON L.S.

On an employer assignment, the assignors are typically the inventors.

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