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Alemitu Bezabih

Biographic Data

ID10123316
NAMEAlemitu Bezabih
GIVEN NAMESAlemitu
FAMILY NAMEBezabih
SIGNATUREBEZABIH A
AFFILIATIONSColorado School of Mines
ORCID0000-0001-9603-8537
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • 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 work) · Dissemination (1 work) · Human–robot interaction (1 work) · Information model (1 work) · Multimodal Machine Learning Applications (1 work) · Robot (1 work) · Social Robot Interaction and HRI (1 work) · Stakeholder (1 work)

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