Papers

3

Total Citations

30

H-Index

3

About

Daegeun Seo is a robotics researcher whose work has centered on the development of precise indoor localization systems for mobile robots. His most significant contributions focus on the design and implementation of the indoor GPS (iGS) system, an innovative absolute positioning framework that leverages ultrasonic signals and RFID technology to determine a robot's location with high accuracy. By exploiting the well-defined relationship between ultrasonic wave speed, time, and room temperature, Seo's iGS approach offered a practical and scalable alternative to traditional beacon-based methods, which were often constrained by limited operational areas requiring pre-localized beacons. Seo's research addressed a fundamental challenge in mobile robotics — reliable indoor positioning — at a time when such systems were critical for the effective autonomous navigation of service and industrial robots. His 2008 publications collectively garnered approximately 30 citations, reflecting meaningful recognition within the robotics and autonomous systems community. The work demonstrated both theoretical rigor and practical applicability, combining sensor fusion principles with real-world deployment considerations. For students and researchers exploring indoor navigation, autonomous robotics, or RFID-ultrasonic hybrid sensing systems, Seo's contributions represent a valuable foundational reference in the evolution of mobile robot localization technology.

Research Focus

Key Achievements

3
H-Index
3
Papers
30
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Localization Algorithm for a mobile robot using iGS
13 citations · 2008
📈 Most Prolific Year: 2008 (3 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Pusan National University, Korean Register (South Korea)

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago