Megan Zimmerman

National Institute of Standards and Technology

Papers

8

Total Citations

178

H-Index

4

About

Megan Zimmerman is a prominent researcher specializing in human-robot interaction (HRI), collaborative manufacturing robotics, and performance metrology. Her work sits at a critical intersection of robotics engineering and human factors, focusing on developing rigorous frameworks and standardized test methods that bridge the gap between theoretical HRI research and real-world implementation. Zimmerman's most influential contribution, "Towards Effective Interface Designs for Collaborative HRI in Manufacturing" (2020, 110 citations), established a comprehensive framework for evaluating human-machine interfaces in collaborative manufacturing environments, addressing key challenges facing next-generation robotic systems. Affiliated with the National Institute of Standards and Technology (NIST), she has also contributed significantly to benchmarking robotic manipulation of deformable objects — a notoriously difficult challenge in industrial automation. A defining thread throughout her career is her sustained commitment to standardization in HRI research. Through an impressive series of annual workshops and a dedicated special journal issue, Zimmerman has actively cultivated a community of practice around reproducible, validated metrics — work increasingly recognized as essential for driving technological adoption. With over 175 cumulative citations, her research continues to shape how scientists and engineers evaluate and trust collaborative human-robot teams in demanding real-world settings.

Research Focus

Key Achievements

4
H-Index
8
Papers
178
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Towards Effective Interface Designs for Collaborative HRI in Manufacturing
110 citations · 2020
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: National Institute of Standards and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago