Papers

14

Total Citations

191

H-Index

10

About

Paul Glogowski is a researcher specializing in human-robot interaction (HRI), human-robot collaboration (HRC), and the integration of collaborative robots into manufacturing and assembly systems. His work sits at the intersection of robotics, industrial engineering, and sociotechnical systems design, with a particular focus on making advanced automation accessible to small and medium-sized enterprises (SMEs). Among his most significant contributions is the development of holistic planning systems and task-based simulation tools that help manufacturers identify and implement viable human-robot collaboration use cases — work that has collectively garnered over 150 citations. Glogowski has made notable advances in safety-critical areas such as speed and separation monitoring (SSM), developing extended calculation methods for dynamic separation distances and robot speed adaptation algorithms that push beyond current standards and guidelines. His 2019 paper on integrating collaborative robots into manual assembly lines (25 citations) remains a foundational reference for practitioners navigating real-world deployment challenges. Glogowski has also contributed to robot dynamics research, including natural frequency analysis for industrial robots used in milling applications. By combining simulation, machine learning, and ergonomic considerations, his body of work provides both theoretical frameworks and practical tools that are shaping safer, more efficient human-robot workplaces.

Research Focus

Key Achievements

10
H-Index
14
Papers
191
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Human Robot Interaction – learning how to integrate collaborative robots into manual assembly lines
25 citations · 2019
📈 Most Prolific Year: 2019 (5 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Ruhr University Bochum, Bochum University of Applied Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago