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Research on a Dual‐Mode Human–Robot Interaction Method Based on a Large Language Model

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Bibliographic Details
Published in:IET Cyber-systems and Robotics
Format: Online Article RSS Article
Published: 2026
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container_title IET Cyber-systems and Robotics
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:14000
institution FRELIP
journal_source_facet IET Cyber-systems and Robotics
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Research on a Dual‐Mode Human–Robot Interaction Method Based on a Large Language Model
Automation and Robotics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
sub_discipline_display Technology & Engineering — Aerospace & Applied Tech
sub_discipline_facet Technology & Engineering — Aerospace & Applied Tech
subject_display Automation and Robotics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
Automation and Robotics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
subject_facet Automation and Robotics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
title Research on a Dual‐Mode Human–Robot Interaction Method Based on a Large Language Model
title_auth Research on a Dual‐Mode Human–Robot Interaction Method Based on a Large Language Model
title_full Research on a Dual‐Mode Human–Robot Interaction Method Based on a Large Language Model
title_fullStr Research on a Dual‐Mode Human–Robot Interaction Method Based on a Large Language Model
title_full_unstemmed Research on a Dual‐Mode Human–Robot Interaction Method Based on a Large Language Model
title_short Research on a Dual‐Mode Human–Robot Interaction Method Based on a Large Language Model
title_sort research on a dual‐mode human–robot interaction method based on a large language model
topic Automation and Robotics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/csy2.70037?af=R