Selim Solmaz

Virtual Vehicle (Austria)

Papers

6

Total Citations

54

H-Index

4

About

Selim Solmaz is a robotics and autonomous systems researcher whose work sits at the intersection of search and rescue (SAR) robotics, autonomous navigation, and multi-sensor fusion. His research addresses one of the most pressing challenges in modern robotics: deploying reliable autonomous systems in hazardous, unpredictable environments where human presence is dangerous or impossible. Solmaz has made significant contributions to advancing SAR robotic capabilities, authoring influential literature reviews and technical studies that map the landscape of rescue robotics and identify open challenges for the field. His most-cited work, a 2024 literature review on robots in SAR missions, has already attracted 20 citations, reflecting strong community interest in this domain. Complementing this, his research on robust multi-sensor fusion — integrating thermal imaging, LiDAR, and GNSS data — addresses the critical problem of reliable localization in tunnels and disaster zones where conventional positioning systems fail. His path planning research further demonstrates a practical engineering sensibility, offering cost-effective smooth trajectory solutions for non-holonomic vehicles. With a growing citation record across multiple 2024–2025 publications, Solmaz is emerging as a productive voice in field robotics, contributing both foundational reviews and novel technical solutions to autonomous systems operating at the limits of safety-critical environments.

Research Focus

Key Achievements

4
H-Index
6
Papers
54
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Robots Saving Lives: A Literature Review About Search and Rescue (SAR) in Harsh Environments
20 citations · 2024
📈 Most Prolific Year: 2024 (4 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Virtual Vehicle (Austria)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago