Wan Suk Yoo

Papers

Total Citations

H-Index

About

Wan Suk Yoo is a researcher whose work spans advanced control systems and robotics, with particular expertise in sliding mode control, intelligent optimization, and mobile robot dynamics. His most recognized contribution, "Sliding Mode Controller with Sliding Perturbation Observer Based on Gain Optimization Using Genetic Algorithm" (2004), demonstrates his innovative fusion of robust control theory with evolutionary computation — applying genetic algorithms to optimize controller gains, a technique that has garnered 33 citations and influenced subsequent research in adaptive and intelligent control design. Beyond control theory, Yoo has extended his expertise into the challenging domain of rescue robotics. His work on lumped track modeling for the Vecna BEAR-type robot addresses a critically practical problem: estimating traction forces and safe operating speeds for tracked robots navigating rough terrain to evacuate wounded soldiers from combat zones. This research reflects a commitment to translating engineering rigor into life-saving applications, developing real-time dynamic models capable of computing speed limits across varied environments to protect both robot and patient. Together, these works paint a portrait of a researcher bridging theoretical control engineering and applied robotics, driven by both scientific innovation and meaningful humanitarian impact.