Keep it Simple: Understanding Natural Language Commands for General-Purpose Service Robots

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A9TRN7YFR" target="_blank" >RIV/00216208:11320/25:9TRN7YFR - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186267003&doi=10.1109%2fSII58957.2024.10417341&partnerID=40&md5=9b80c7bf2bc8da7cdf188ea6c1d648f2" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186267003&doi=10.1109%2fSII58957.2024.10417341&partnerID=40&md5=9b80c7bf2bc8da7cdf188ea6c1d648f2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SII58957.2024.10417341" target="_blank" >10.1109/SII58957.2024.10417341</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Keep it Simple: Understanding Natural Language Commands for General-Purpose Service Robots

Popis výsledku v původním jazyce

Service robots are designed to perform useful tasks for humans, which involve managing and combining a variety of skills in the form of global and local plans to solve any given task. In this work, we propose a framework to process natural language commands for general-purpose service robots where the robot should perform an arbitrary spoken command requested by a non-expert operator. Our system uses a Natural Language Processing (NLP) parser and a Conceptual Dependency (CD) builder to create CD structures that an expert system can employ to generate a global plan that the robot will execute. An extra simplification step using Large Language Models (LLM) was tested and evaluated in order to improve the accuracy of the system. Finally, our system has been tested in challenging environments in robot competitions and we have achieved promising results. © 2024 IEEE.

Název v anglickém jazyce

Keep it Simple: Understanding Natural Language Commands for General-Purpose Service Robots

Popis výsledku anglicky

Service robots are designed to perform useful tasks for humans, which involve managing and combining a variety of skills in the form of global and local plans to solve any given task. In this work, we propose a framework to process natural language commands for general-purpose service robots where the robot should perform an arbitrary spoken command requested by a non-expert operator. Our system uses a Natural Language Processing (NLP) parser and a Conceptual Dependency (CD) builder to create CD structures that an expert system can employ to generate a global plan that the robot will execute. An extra simplification step using Large Language Models (LLM) was tested and evaluated in order to improve the accuracy of the system. Finally, our system has been tested in challenging environments in robot competitions and we have achieved promising results. © 2024 IEEE.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

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Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

IEEE/SICE Int. Symp. Syst. Integr., SII

ISBN

979-835031207-2

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

1320-1325

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

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Místo konání akce

Ha Long

Datum konání akce

1. 1. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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