Su Ho Kim

Papers

1

Total Citations

1

H-Index

1

About

Su Ho Kim is a researcher in robotics and autonomous navigation, with a particular focus on rescue robot systems and mapping technologies. His work centers on developing robust methods for robot navigation in complex, unstructured environments, especially those encountered in disaster response scenarios. Kim’s most notable contribution is his study on 2.5D map building and map merging techniques, which addresses the critical challenge of creating coherent environmental representations from multiple robot perspectives. This work, published in 2022, provides a practical framework for integrating partial maps generated by rescue robots into a unified, navigable model, enhancing situational awareness and operational efficiency in search-and-rescue missions. While his citation count is still emerging, the foundational nature of this research holds significant promise for advancing autonomous systems in hazardous settings. Kim’s efforts align with broader trends in field robotics, emphasizing real-time data fusion and adaptive mapping. His dedication to solving real-world problems through algorithmic innovation marks him as a rising contributor to the robotics community, with potential for lasting impact on emergency response technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Study on 2.5D Map Building and Map Merging Method for Rescue Robot Navigation
1 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 1

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago