Suhwan Kim

Seoul National University, Gyeongsang National University

Papers

Total Citations

H-Index

About

Suhwan Kim is a pioneering researcher in autonomous robotics and human-robot interaction, with a focus on enabling safe, high-speed navigation for nonholonomic wheeled mobile robots (WMRs). His most influential work, "Autonomous dynamic driving control of wheeled mobile robots" (2014, 7 citations), introduces a novel control framework that allows WMRs to operate at speeds where dynamic effects—such as Coriolis forces—become significant, yet remain below the threshold for wheel slippage. This contribution bridges the gap between kinematic and dynamic control, advancing the practical deployment of agile robots in real-world environments. Kim also made notable strides in human-robot interface technology, as seen in his 2011 paper on multi-channel noise reduction (3 citations). Here, he developed an efficient algorithm combining frequency-domain beamforming with masking-based Wiener filtering to suppress nonstationary noise, significantly improving speech recognition robustness in noisy settings. While his citation counts reflect a focused, early-career impact, Kim’s work is foundational for researchers in dynamic robot control and auditory interfaces, demonstrating a dual expertise in mechanical systems and signal processing that underscores his potential for future breakthroughs in autonomous systems.