Eric Rosen Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

John Brown University

faculty

14 h-index 57 pubs 936 cited

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Biography and Research Information

OverviewAI-generated summary

Eric Rosen's research encompasses a diverse range of topics, from phonetics and phonology to robotics and natural language processing. His work leverages neural networks to model cognitive processes, as seen in his investigations of compositional processing in math problem-solving and emergent gestural scores in vowel harmony. Rosen also explores the intersection of robotics and human-computer interaction, with projects involving VR teleoperation, manipulation assistance, and the development of tools for organizing key characteristics of virtual, augmented, and mixed reality systems for human-robot interaction. More recently, he has been applying large language models to enable corrective actions from precondition errors.

Rosen's current research is focused on reinforcement learning in robotics.

Metrics

  • h-index: 14
  • Publications: 57
  • Citations: 936

Selected Publications

  • Verifiably Following Complex Robot Instructions with Foundation Models (2025) DOI
  • Skill Transfer for Temporal Task Specification (2024) DOI
  • Norm Learning with Reward Models from Instructive and Evaluative Feedback (2022) DOI
  • TOKCS: Tool for Organizing Key Characteristics of VAM-HRI Systems (2021)
  • Bootstrapping Motor Skill Learning with Motion Planning (2021) DOI

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