Jurgen Rosmann
Papers
11
Total Citations
175
H-Index
6
About
Jurgen Rosmann is a leading researcher in robotics and automation, specializing in the integration of digital twins, cyber-physical systems, and human-robot interaction. His most influential work, "Value-Driven Robotic Digital Twins in Cyber–Physical Applications" (49 citations), pioneers the use of cost-effective intelligent robots to unlock unprecedented automation capabilities. Rosmann’s foundational research on "A navigation framework for digital twins of factories based on building information modeling" (40 citations) has become essential for optimizing movement paths in Industry 4.0-ready virtual factories. He has also made critical contributions to safety in human-robot interaction through his study on soft-tissue injury in robotics (35 citations), advancing the analysis of risks posed by sharp tools on robotic systems. Rosmann’s work extends to disaster response, where his research on robotic teleoperation mediated by virtual testbeds (9 citations) enhances operator interfaces for safe missions. He has also advanced virtual hardware-in-the-loop simulation (8 citations) and symbolic planning for micro-optical assembly (6 citations). With over 170 total citations across his publications, Rosmann’s research is instrumental in shaping safe, efficient, and intelligent robotic systems for industrial and emergency applications.
Research Focus
Key Achievements
Top Papers
- 1Value-Driven Robotic Digital Twins in Cyber–Physical Applications49 citations · 2020
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- 3Study on Soft-Tissue Injury in Robotics35 citations · 2011
- 4Database-driven distributed 3D simulation14 citations · 2012
- 5Robotic teleoperation: Mediated and supported by virtual testbeds9 citations · 2017
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- 8
- 9
- 10Utilization of motion planning strategies for micro-optical assembly3 citations · 2015