Taehan Kim

Seoul National University, Sogang University

Papers

Total Citations

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About

Taehan Kim is a pioneering researcher in the intersection of optimal control theory and intelligent robotics, with a particular focus on mechanical systems and autonomous home appliances. His seminal work on "Time-optimal control of a single-DOF mechanical system with friction" (2001, 17 citations) provides the exact solution to minimum-time control problems, offering a feedback-form synthesis that accounts for Coulomb friction—a factor often overlooked or precompensated in prior studies. This contribution has been foundational for engineers designing high-performance, friction-prone mechanical systems. More recently, Kim has advanced the field of human-robot interaction with his 2024 study on "A Real-Time Sound Source Localization System for Robotic Vacuum Cleaners With a Microphone Array" (2 citations), addressing the critical challenge of ego-noise interference in smart home devices. By enabling robotic vacuum cleaners to accurately locate sound sources despite their own operational noise, this work enhances voice command reliability and user tracking—key features for next-generation AI-powered appliances. Kim’s research bridges theoretical control rigor with practical, noise-robust sensing, demonstrating a sustained impact on both academic control theory and commercial robotics innovation.