Dohun Jeong

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About

Dohun Jeong is a robotics researcher whose work lies at the intersection of soft robotics, control theory, and underwater systems. His primary research focuses on developing advanced control strategies for soft robots operating in challenging aquatic environments, where traditional rigid robots often struggle. Jeong’s most cited paper, "Automatically-Tuned Model Predictive Control for an Underwater Soft Robot" (2023), addresses the fundamental challenge of controlling highly compliant, underactuated systems. By introducing a data-driven model predictive control (MPC) framework that automatically tunes its parameters, he demonstrated a practical path to achieving stable, precise motion in soft underwater robots—a problem long considered a bottleneck in the field. This work has already garnered 12 citations, reflecting its timely impact on both soft robotics and marine engineering communities. Beyond this, Jeong’s contributions extend to bridging the gap between simulation and real-world deployment, making his research valuable for students and engineers working on autonomous underwater vehicles, bio-inspired robotics, and adaptive control. His approach emphasizes automation and robustness, offering a scalable solution for next-generation soft robotic systems.