Papers

2

Total Citations

5

H-Index

2

About

Stefan Moser is a robotics researcher whose work bridges public safety and construction automation. His primary research areas include robotic systems for hazardous environment analysis and automated construction processes. Moser’s major contribution is the development of a remotely operated robot-based system for analyzing suspicious objects—such as luggage and trash cans—in public spaces, integrating CBRN (chemical, biological, radioactive, nuclear, and explosive) sensors with high-resolution LIDAR. This work, published in 2019, directly addresses counter-terrorism and public security, demonstrating how robotics can mitigate human risk during threat assessment. With 3 citations, this paper represents a focused but impactful contribution to the field of security robotics. Earlier in his career, Moser also explored automation in civil engineering, specifically developing process control for fully automated shotcrete application in tunnel construction (2001, 2 citations). This earlier work highlights his long-standing interest in replacing manual or manipulator-based processes with autonomous systems. While his citation counts are modest, Moser’s research is notable for its practical, application-driven approach—tackling real-world challenges from public safety to infrastructure construction, and showcasing the versatility of robotics across critical domains.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Robot assisted analysis of suspicious objects in public spaces using CBRN sensors in combination with high-resolution LIDAR
3 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago