Gyuho Byun
Papers
2
Total Citations
30
H-Index
2
About
Gyuho Byun’s research focuses on advancing the safety and precision of robotic manipulators, with a particular emphasis on sliding mode control and state estimation. His major contributions lie in developing robust control frameworks that address the critical trade-off between stiffness and safety in physical human-robot interaction. Byun’s most cited work, “An Improved Sliding Mode Differentiator Combined with Sliding Mode Filter for Estimating First and Second-order Derivatives of Noisy Signals” (2020, 25 citations), provides a significant advancement in signal processing for control systems, enabling more accurate derivative estimation from noisy sensor data. This work is foundational for applications requiring high-fidelity motion tracking. In a notable extension of prior art, Byun proposed a “Stiff and safe task-space position and attitude controller for robotic manipulators” (2020), which explicitly addresses the attitude control challenge in proxy-based sliding mode control. This achievement demonstrates his ability to solve complex, real-world control problems by integrating theoretical rigor with practical safety considerations. Byun’s work is essential reading for researchers in robot control, haptics, and automation, offering a pathway to creating robots that are both powerful and safe to operate alongside humans.
Research Focus
Key Achievements
Top Papers
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