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About

Hyeung-Sik Choi is a distinguished robotics and control systems researcher whose work spans underwater robotics, autonomous vehicles, and advanced control theory. With expertise spanning neural network-based control, autonomous marine systems, and underwater construction robotics, Choi has made foundational contributions to how robots operate in complex, uncertain environments. His most influential work, "A Robust Neural Controller for Underwater Robot Manipulators" (2000, 65 citations), pioneered the integration of multilayer neural networks with sliding mode control, enabling robots to compensate for system uncertainties with greater precision — a breakthrough that continues to inform modern underwater robotics research. He further advanced control methodology through fuzzy logic approaches for handling torque saturation in robot manipulators, demonstrating a consistent drive to solve real-world control challenges. Choi's research portfolio reflects remarkable breadth: from designing convertible ROV/AUV systems and hybrid USV-ROV platforms for extended deep-sea operations, to developing underwater construction robots for seabed trenching applications and biped walking robots. His CFD-based verification methods for underwater vehicle design have also provided practical tools for the marine engineering community. Collectively accumulating nearly 215 citations, Choi's body of work represents a sustained and impactful contribution to intelligent robotics, marine autonomy, and robust control systems engineering.