Papers

2

Total Citations

14

H-Index

2

About

Erik Trostmann’s research bridges the critical gap between industrial robotics and advanced metrology, with a focus on high-precision tracking, localization, and simulation. His most-cited work, “Research on high-precision tracking and localization of industrial robots based on iGPS” (2024, 8 citations), demonstrates how indoor global positioning systems (iGPS) can dramatically enhance robot end-effector accuracy, safety, and efficiency—a key enabler for flexible manufacturing and human-robot collaboration. This contribution addresses a fundamental challenge in modern automation: achieving reliable, real-time positioning without costly external fixtures. Earlier, Trostmann developed ROPSIM, a pioneering robot off-line programming and real-time simulation system (2003, 6 citations). By introducing a neutral interface concept and modeling both controller and arm dynamics with generic robot models, ROPSIM allowed manufacturers to simulate and program diverse robots without vendor-specific software—a forward-looking approach that anticipated today’s digital twin and CIME (Computer Integrated Manufacturing and Engineering) paradigms. His work has influenced both academic research in robot calibration and industrial adoption of simulation-driven workflows. With a career spanning two decades, Trostmann’s contributions remain foundational for researchers and engineers working on autonomous, precision-driven robotic systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
14
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Research on high-precision tracking and localization of industrial robots based on iGPS
8 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Fraunhofer Institute for Factory Operation and Automation, Technical University of Denmark

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago