Papers

1

Total Citations

4

H-Index

1

About

Dominik Kleiser is a researcher at the forefront of applying robotics and digital twin technology to structural health monitoring, with a particular focus on offshore wind energy infrastructure. His work centers on the development of automated inspection systems for critical renewable energy assets, specifically addressing the challenges of monitoring offshore wind piles. Kleiser's major contribution lies in his pioneering approach to integrating simulation and digital twin models with robotic platforms, enabling safer, more cost-effective, and risk-reduced structural assessments. His most-cited paper, "Towards Automated Structural Health Monitoring for Offshore Wind Piles" (2020), demonstrates a sophisticated simulation model of an inspection ROV that can autonomously perform structural health monitoring tasks. While his citation count is still growing, this work represents a significant step toward reducing the need for manual, high-risk underwater inspections. Kleiser's research is particularly valuable for the renewable energy sector, where efficient maintenance of offshore wind farms is crucial for economic viability and energy transition goals. His work exemplifies the convergence of robotics, simulation, and infrastructure monitoring.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Towards Automated Structural Health Monitoring for Offshore Wind Piles
4 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Fraunhofer Institute of Optronics, System Technologies and Image Exploitation

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago