Papers

10

Total Citations

676

H-Index

8

About

James Kramer is a pioneering researcher in human-robot interaction (HRI) and affective robotics, whose work has fundamentally shaped how robots perceive, express, and respond to human emotions in collaborative settings. His most influential contributions center on developing integrated cognitive architectures that enable natural, robust interactions between humans and autonomous robots. Kramer's landmark survey on development environments for autonomous mobile robots (266 citations) established foundational frameworks for the field, while his seminal work on natural human-like HRI (183 citations) demonstrated that robots capable of recognizing and expressing affect significantly improve performance in joint human-robot tasks. He is the principal architect of the DIARC (Distributed Integrated Affect, Reflection, Cognition) architecture, a testbed that provides critical features for successful natural HRI, and the ADE framework for robust, fault-recovering robotic systems. His research on affect expression in collaborative tasks (96 citations) showed that integrating emotional awareness into robotic cognition enhances team coordination and task outcomes. Beyond foundational robotics, Kramer has explored telepresence robots for behavioral health applications during the COVID-19 pandemic, demonstrating the real-world impact of his work. With over 670 total citations across his most-cited papers, Kramer's architectures and design principles remain essential references for researchers building socially intelligent, emotionally aware robots.

Research Focus

Key Achievements

8
H-Index
10
Papers
676
Total Citations
68
Avg Citations/Paper
🏆 Most Cited Paper
Development environments for autonomous mobile robots: A survey
266 citations · 2006
📈 Most Prolific Year: 2006 (5 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Notre Dame, Pacific Northwest University of Health Sciences, Traclabs (United States)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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