Marcel Philipp Mayer

Papers

3

Total Citations

12

H-Index

3

About

Marcel Philipp Mayer is a researcher at the forefront of human-robot interaction (HRI), with a particular focus on making industrial and service robotics more intuitive, safe, and socially acceptable. His work centers on the cognitive control of robotic systems, exploring how robots can autonomously plan and adapt their behavior in dynamic environments, especially when collaborating with human partners. Mayer’s key contributions include developing flexible, self-optimizing assembly cells that can adjust their actions in real-time, and investigating the critical role of human perception in HRI. His studies on the effect of anthropomorphic robot movements on human prediction and on the acceptance of interpersonal distances during robot approach have provided foundational insights into designing robots that feel more predictable and less intrusive. Though his most-cited works (with 3–5 citations each) are early-career publications, they address core challenges in HRI—such as trust, safety, and social acceptance—that are now central to the field. Mayer’s research bridges engineering and psychology, offering practical guidance for creating robots that can work seamlessly alongside people in both industrial and domestic settings.

Research Focus

Key Achievements

3
H-Index
3
Papers
12
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Flexible and Adaptive Planning for Human-Robot Interaction in Self-Optimizing Assembly Cells
5 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 13

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago