Byung-Jae Choi
Papers
9
Total Citations
128
H-Index
5
About
Byung-Jae Choi is a robotics and intelligent control researcher whose work centers on fuzzy logic systems and their practical application to mobile robot navigation and control. He has made significant contributions to the field of autonomous robotics, particularly in developing fuzzy logic-based algorithms that enable mobile robots to detect and avoid obstacles in unknown environments — work that has garnered over 66 citations in a single landmark 2013 study alone. His research consistently employs ultrasonic sensors and sophisticated fuzzy inference methods, including simplified Mamdani reasoning and singleton fuzzification, to create computationally efficient yet robust control architectures. Choi has also extended his expertise to the challenging domain of Segway-type inverted pendulum robots, a class of inherently unstable nonlinear systems that serve as rigorous benchmarks for control design. Beyond navigation and balance control, his portfolio spans indoor robot localization using fisheye lens vision systems and natural ceiling landmarks, as well as CAN-based hardware platform development for service robots. With a cumulative body of work exceeding 120 citations, Choi's research bridges theoretical fuzzy systems design with real-world robotic implementation, making his publications particularly valuable for students and engineers working at the intersection of intelligent control and autonomous mobile robotics.
Research Focus
Key Achievements
Top Papers
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- 2Fuzzy Logic System Based Obstacle Avoidance for a Mobile Robot22 citations · 2011
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- 4Design of Fuzzy Logic Control System for Segway Type Mobile Robots10 citations · 2015
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