Maximilian Garsch

Universität der Bundeswehr München

Papers

2

Total Citations

11

H-Index

2

About

Maximilian Garsch is a researcher at the intersection of robotics, civil engineering, and disaster management, with a focused expertise in robotic bridge inspection for flood evacuation planning. His work addresses the critical need for rapid, low-cost structural assessment of transport infrastructure during flood disasters, where bridges become fragile chokepoints. Garsch’s major contribution lies in developing a novel procedure that uses marine robotic vehicles to perform on-site bridge statics analysis, enabling experts to remotely assess structural integrity. By leveraging low-cost sensors to measure a bridge’s eigenfrequencies, his approach determines whether a damaged construction can safely support rescue vehicles—a vital capability for strategic evacuation planning. His most-cited paper, “Robotic bridge inspection within strategic flood evacuation planning” (8 citations), and its follow-up on low-cost sensor integration (3 citations) demonstrate his pioneering role in merging field robotics with structural health monitoring. Garsch’s work has direct, life-saving implications for disaster response, offering a scalable, affordable alternative to proprietary inspection systems. His research is essential reading for engineers and roboticists developing resilient infrastructure solutions in an era of increasing flood risks.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Robotic bridge inspection within strategic flood evacuation planning
8 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Universität der Bundeswehr München

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago