Christian Deuerlein

Georg Simon Ohm University of Applied Sciences Nuremberg

Papers

5

Total Citations

118

H-Index

4

About

Christian Deuerlein is a leading researcher in human-robot collaboration (HRC) and intuitive robot programming, with a focus on making industrial automation accessible to small and medium enterprises. His work bridges the gap between advanced robotics and practical manufacturing, particularly through cloud-based speech recognition systems for human-robot interaction—a paper that has garnered 66 citations for its innovative integration of natural language processing into robot control. Deuerlein’s contributions include developing an intuitive welding robot programming method using motion capture and augmented reality (21 citations), which allows operators to program robots offline by mimicking manual welding motions. He also pioneered a cyber-physical system for Programming by Demonstration (PbD) (18 citations), enabling offline robot teaching through specialized input devices. His research on portable radar-based safety systems for flexible HRC in semi-automated production lines addresses critical safety challenges in real-world manufacturing. Deuerlein’s work has been recognized for its potential to transform production processes, moving HRC from research to series standard, as highlighted in his 2021 publication. His contributions are shaping the future of collaborative robotics, making advanced automation more intuitive, safe, and accessible for industry.

Research Focus

Key Achievements

4
H-Index
5
Papers
118
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Human-robot-interaction using cloud-based speech recognition systems
66 citations · 2021
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Georg Simon Ohm University of Applied Sciences Nuremberg

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago