Dae Sung Jung

Pohang University of Science and Technology

Papers

Total Citations

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About

Dae Sung Jung is a robotics researcher whose work focuses on advancing the control and dexterity of redundant manipulators. His key research areas include inverse kinematics, fuzzy logic systems, and subtask control for robotic arms. Jung’s major contribution is the development of a fuzzy weighted subtask controller, which dynamically adjusts the null-space of the Jacobian using a weighted pseudo-inverse. This innovation expands the feasibility of inverse kinematic solutions, allowing redundant manipulators to perform complex tasks with greater flexibility and precision. His most-cited paper, "Fuzzy weighted subtask controller for redundant manipulator" (2014), has garnered 5 citations, reflecting its niche but significant impact in the robotics community. By integrating fuzzy logic to determine optimal weights, Jung’s work addresses practical challenges in real-time robot control, enhancing performance in applications like assembly and human-robot collaboration. His research stands as a thoughtful contribution to the field, offering a scalable approach to improving robotic autonomy and task execution.