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Alemitu Bezabih

Datos Biográficos

ID10123316
NOMBREAlemitu Bezabih
NOMBRESAlemitu
APELLIDOBezabih
FIRMABEZABIH A
AFILIACIONESColorado School of Mines
ORCID0000-0001-9603-8537
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2026
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
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…

Sin obras prominentes en esta página.

  • 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 • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae