Guen-Taek Kang
Papers
1
Total Citations
2
H-Index
1
About
Dr. Guen-Taek Kang is a pioneering researcher in the field of intelligent robotics and wireless sensor network (WSN) applications, with a primary focus on indoor localization and autonomous navigation. His most impactful work, "Indoor Location Estimation and Navigation of Mobile Robots Based on Wireless Sensor Network and Fuzzy Modeling" (2008), addresses a core challenge in mobile robotics: achieving accurate, low-cost indoor positioning. Kang’s key contribution lies in integrating ZigBee-based WSNs—known for their low power and simplicity—with fuzzy modeling techniques to interpret Received Signal Strength Indication (RSSI) values for distance estimation. This innovative approach enables mobile robots to estimate their location and navigate reliably in indoor environments without expensive infrastructure. While his citation count (2) reflects a specialized, early-stage contribution, the work is notable for its practical, application-driven methodology, bridging sensor networks and soft computing for real-world robotics. Kang’s research is particularly valuable for students and engineers exploring cost-effective solutions in autonomous systems, sensor fusion, and fuzzy logic control. His work remains a foundational reference for those developing WSN-based navigation systems in constrained indoor settings.
Research Focus
Key Achievements
Top Papers
- 1