ETRI-Knowledge Sharing Plaform

KOREAN
논문 검색
Type SCI
Year ~ Keyword

Detail

Journal Article 거대언어모델 기반 로봇 인공지능 기술 동향
Cited - time in scopus Download 622 time Share share facebook twitter linkedin kakaostory
Authors
이준기, 박상준, 김낙우, 김에덴, 고석갑
Issue Date
2024-02
Citation
전자통신동향분석, v.39, no.1, pp.95-105
ISSN
1225-6455
Publisher
한국전자통신연구원
Language
Korean
Type
Journal Article
DOI
https://dx.doi.org/10.22648/ETRI.2024.J.390109
Abstract
In natural language processing, large language models such as GPT-4 have recently been in the spotlight. The performance of natural language processing has advanced dramatically driven by an increase in the number of model parameters related to the number of acceptable input tokens and model size. Research on multimodal models that can simultaneously process natural language and image data is being actively conducted. Moreover, natural-language and image-based reasoning capabilities of large language models is being explored in robot artificial intelligence technology. We discuss research and related patent trends in robot task planning and code generation for robot control using large language models.
KSP Keywords
Artificial intelligence technology, Image data, Image-based, Language Model, Model parameter, Natural Language Processing(NLP), Robot Control, Task planning, code generation, robot task
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
Type 4: