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About

Dong Jun Oh is a robotics researcher whose work bridges precision control, soft robotics, and human–robot interaction. His key research areas include iterative learning control (ILC), multi-actuator synchronization, biomimetic joint design, and transparent physical human–robot interaction. Oh’s major contributions include a simple yet effective inversion-based ILC framework for dual-drive wafer inspection robots, which simplifies tracking and synchronization in multi-actuator systems. He also developed a flexible, self-recovery finger joint for tendon-driven robot hands, inspired by elastic ligaments, achieving omnidirectional restoration—a notable step toward more resilient soft robotic grippers. His recent work extends ILC to integrated MIMO soft robotic systems and addresses unknown dynamics compensation to improve transparency in physical human–robot interaction. With over 15 citations across his most-cited papers, Oh’s research demonstrates growing impact in both industrial automation and assistive robotics. His achievements highlight a commitment to making robotic systems more adaptive, reliable, and human-friendly, positioning him as an emerging contributor to the next generation of intelligent, compliant robots.