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Ross Mead

Biographic Data

ID5125575
NAMERoss Mead
GIVEN NAMESRoss
FAMILY NAMEMead
SIGNATUREMEAD R
AFFILIATIONSSemio, Los Angeles, CA, USA
ORCID0000-0002-5664-4687
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS12
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2026
H-INDEX1
  • 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…

  • Scarecrows in Oz

    Open Access•Tom Williams, Cynthia Matuszek et al.•ARTICLE•ACM Transactions on Human-Robot…•2024

    The proliferation of Large Language Models (LLMs) presents both a critical design challenge and a remarkable opportunity for the field of Human–Robot Interaction (HRI). While the direct deployment of LLMs on interactive robots may be unsuitable for reasons of ethics, safety, and control, LLMs might nevertheless provide a promising baseline technique for many elements of HRI. Specifically, in this article, we argue for the use of LLMs as Scarecrow…

  • Introduction to the Special Issue on Artificial Intelligence for Human–Robot Interaction (AI-HRI)

    Open Access•Jivko Sinapov, Han Zhao et al.•ARTICLE•ACM Transactions on Human-Robot…•2024

  • Introduction to the Special Issue on Test Methods for Human-Robot Teaming Performance Evaluations

    Open Access•Jeremy A Marvel, Shelly Bagchi et al.•ARTICLE•ACM Transactions on Human-Robot…•2022

    This special issue of the Transactions on Human-Robot Interaction highlights, documents, and explores the metrics, test methods, and artifacts used in human-robot interaction (HRI) research. This collection of articles brings to attention the commonalities between the application of measurement science for the assessment and assurance of human-centric robotics in a variety of application domains, including industry, education, and defense. This s…

  • Automated Proxemic Feature Extraction and Behavior Recognition

    Open Access•Ross Mead, Amin Atrash et al.•ARTICLE•International Journal of Social…•2013•Cited by: 12•References: 15

  • Automated Proxemic Feature Extraction and Behavior Recognition

    Open Access•Ross Mead, Amin Atrash et al.•ARTICLE•International Journal of Social…•2013•Cited by: 12•References: 15

  • Automated Proxemic Feature Extraction and Behavior Recognition

    Open Access•Ross Mead, Amin Atrash et al.•ARTICLE•International Journal of Social…•2013•Cited by: 12•References: 15

  • Introduction to the Special Issue on Test Methods for Human-Robot Teaming Performance Evaluations

    Open Access•Jeremy A Marvel, Shelly Bagchi et al.•ARTICLE•ACM Transactions on Human-Robot…•2022

    This special issue of the Transactions on Human-Robot Interaction highlights, documents, and explores the metrics, test methods, and artifacts used in human-robot interaction (HRI) research. This collection of articles brings to attention the commonalities between the application of measurement science for the assessment and assurance of human-centric robotics in a variety of application domains, including industry, education, and defense. This s…

  • Scarecrows in Oz

    Open Access•Tom Williams, Cynthia Matuszek et al.•ARTICLE•ACM Transactions on Human-Robot…•2024

    The proliferation of Large Language Models (LLMs) presents both a critical design challenge and a remarkable opportunity for the field of Human–Robot Interaction (HRI). While the direct deployment of LLMs on interactive robots may be unsuitable for reasons of ethics, safety, and control, LLMs might nevertheless provide a promising baseline technique for many elements of HRI. Specifically, in this article, we argue for the use of LLMs as Scarecrow…

  • Introduction to the Special Issue on Artificial Intelligence for Human–Robot Interaction (AI-HRI)

    Open Access•Jivko Sinapov, Han Zhao et al.•ARTICLE•ACM Transactions on Human-Robot…•2024

  • 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…

Human–robot interaction (5 works) · Robot (5 works) · Artificial Intelligence (4 works) · Computer Science (4 works) · Human–computer interaction (4 works) · Multimodal Machine Learning Applications (2 works) · Psychology (2 works) · Robotics (2 works) · Social Robot Interaction and HRI (2 works) · Artificial Intelligence in Healthcare and Education (1 work)

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