Papers

2

Total Citations

9

H-Index

2

About

Alexander Kyuroson is an emerging robotics researcher whose work focuses on autonomous navigation and perception in challenging, GPS-denied environments. His research addresses a critical frontier in robotics: enabling reliable operation of autonomous systems in harsh, unstructured settings such as underground tunnels and disaster zones where conventional sensing technologies struggle to perform. Kyuroson's most notable contributions center on developing robust solutions for Search and Rescue (SAR) robotics operating in sub-terranean environments compromised by aerosol particles such as smoke and dust. His 2023 paper introducing a multimodal dataset from harsh sub-terranean environments — garnering 6 citations — provides the research community with invaluable benchmarking resources for GNSS-denied autonomous navigation. Complementing this, his work on efficient real-time smoke filtration for 3D LiDAR systems (3 citations) directly tackles sensor degradation caused by particulate matter, advancing the reliability of heterogeneous robotic teams during life-critical SAR missions. Though early in his career, Kyuroson's contributions are already shaping how the robotics community approaches perception robustness in extreme conditions. Researchers working on autonomous systems, sensor fusion, and disaster response robotics will find his dataset and algorithmic innovations particularly valuable for advancing the field.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Multimodal Dataset from Harsh Sub-Terranean Environment with Aerosol Particles for Frontier Exploration
6 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Xi'an University of Technology, Luleå University of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago