Saekyeol Kim
Papers
3
Total Citations
93
H-Index
3
About
Dr. Saekyeol Kim is a leading researcher in reliability-based design optimization (RBDO) and robust design for complex electromechanical systems, with a focus on deep-sea mining robotics and high-performance actuators. Their seminal work on the pick-up device of a manganese nodule pilot mining robot, which leverages the Coandă effect, has garnered 51 citations and established new methodologies for handling uncertainty in extreme environments. Dr. Kim further advanced the field by developing techniques to identify marginal and joint cumulative distribution functions from bivariate interval-censored data, enabling more accurate RBDO for mining robots (11 citations). In the domain of electric motor design, their robust optimization of a surface-mounted permanent magnet synchronous motor (SPMSM) for robotic actuators—addressing cogging torque variation caused by segmented stator assembly imperfections—has been cited 31 times. This work is critical for achieving low-torque-ripple, high-precision motion in robotics. Dr. Kim’s contributions bridge theoretical reliability engineering with practical hardware challenges, making their research indispensable for engineers designing resilient systems for autonomous underwater vehicles and precision robotic actuators.
Research Focus
Key Achievements
Top Papers
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