Antonia S. Conti-Kufner

Technical University of Munich

Papers

1

Total Citations

126

H-Index

1

About

Antonia S. Conti-Kufner is a leading researcher in human-robot collaboration and industrial ergonomics, with a focus on understanding how assembly workers interact with and accept robotic coworkers. Her most-cited work, "Friend or Foe? Understanding Assembly Workers’ Acceptance of Human-robot Collaboration" (2020, 126 citations), is a landmark study that explores the psychological and practical factors shaping worker trust and willingness to collaborate with robots on the factory floor. This research has been instrumental in shifting the conversation from purely technical feasibility to the human-centered design of collaborative workspaces. Conti-Kufner’s contributions bridge cognitive science and industrial engineering, providing empirical evidence that worker acceptance is critical for successful automation. Her work has directly informed the development of safer, more intuitive human-robot interaction protocols in manufacturing. By highlighting the social dynamics of hybrid teams, she has helped pave the way for more inclusive and effective automation strategies. Her research remains essential reading for engineers, designers, and policymakers seeking to create workplaces where humans and robots truly work as partners.

Research Focus

Key Achievements

1
H-Index
1
Papers
126
Total Citations
126
Avg Citations/Paper
🏆 Most Cited Paper
Friend or Foe? Understanding Assembly Workers’ Acceptance of Human-robot Collaboration
126 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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