Eric Rosen Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
John Brown University
faculty
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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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