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Alemitu Bezabih

Dados Biográficos

ID10123316
NOMEAlemitu Bezabih
PRENOMESAlemitu
SOBRENOMEBezabih
ASSINATURABEZABIH A
AFILIAÇÕESColorado School of Mines
ORCID0000-0001-9603-8537
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2026
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H0
  • Reporting Guidelines for Large Language Models in Human–Robot Interaction

    Cynthia Matuszek, Tom Williams et al.•ARTICLE•ACM Transactions on Human-Robot…•2026

    The comparatively recent advent of Large Language Models (LLMs) has resulted in a wide array of new capabilities and components relevant to Human–Robot Interaction (HRI) researchers. LLMs are being applied to vision, manipulation, planning, reasoning, learning, and HRI problems, frequently as “Scarecrows,” in which LLMs serve as black box modules integrated into robot architectures for the purpose of quickly enabling full-pipeline solutions. Howe…

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  • Reporting Guidelines for Large Language Models in Human–Robot Interaction

    Cynthia Matuszek, Tom Williams et al.•ARTICLE•ACM Transactions on Human-Robot…•2026

    The comparatively recent advent of Large Language Models (LLMs) has resulted in a wide array of new capabilities and components relevant to Human–Robot Interaction (HRI) researchers. LLMs are being applied to vision, manipulation, planning, reasoning, learning, and HRI problems, frequently as “Scarecrows,” in which LLMs serve as black box modules integrated into robot architectures for the purpose of quickly enabling full-pipeline solutions. Howe…

Artificial Intelligence in Healthcare and Education (1 obra) · Dissemination (1 obra) · Human–robot interaction (1 obra) · Information model (1 obra) · Multimodal Machine Learning Applications (1 obra) · Robot (1 obra) · Social Robot Interaction and HRI (1 obra) · Stakeholder (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae