Sangfeel Kwak

Daegu University

Papers

4

Total Citations

24

H-Index

3

About

Sangfeel Kwak is a robotics and control systems researcher whose work centers on intelligent control methodologies for complex nonlinear robotic systems. His primary contributions lie in the design and implementation of fuzzy logic controllers (FLCs) applied to inverted pendulum-type mobile robots, including Segway-style platforms — systems widely recognized as rigorous benchmarks for validating advanced control strategies due to their inherently unstable, nonlinear dynamics. Kwak's most influential research, published in 2015, focuses on developing robust fuzzy logic control architectures that leverage mathematical modeling and smart in-wheel motor technology to achieve stable locomotion in self-balancing robots. These works have collectively garnered over 22 citations, reflecting meaningful engagement from the robotics research community. His approach of combining mathematical analysis with practical hardware implementation demonstrates a commitment to bridging theoretical control design with real-world application. Beyond balance control, Kwak has contributed to the broader field of service robotics through research on CAN (Controller Area Network)-based communication platforms, addressing the growing demand for standardized, modular robot architectures as robotics expands from industrial automation into healthcare and domestic service environments. His body of work positions him as a practical innovator at the intersection of intelligent control and mobile robotics engineering.

Research Focus

Key Achievements

3
H-Index
4
Papers
24
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Design of Fuzzy Logic Control System for Segway Type Mobile Robots
10 citations · 2015
📈 Most Prolific Year: 2015 (3 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Daegu University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago