Deokjin Lee

Daegu Gyeongbuk Institute of Science and Technology

Papers

Total Citations

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About

Deokjin Lee is a robotics researcher whose work centers on the control and identification of flexible joint robots (FJRs), with a particular focus on enhancing their robustness and precision in real-world tasks. His major contributions include the development of a Workspace Nonlinear Disturbance Observer (DOB) for robust position control of FJRs, which addresses critical challenges such as disturbances, coupling, and vibrations caused by joint elasticity—a problem that conventional joint-space DOBs struggle to solve. This work has garnered 16 citations since 2024, signaling its growing influence. Lee also led the ExSLeR project, which designed a robotic arm for human skill learning, emphasizing the integration of hardware and software to enable robots to learn and reproduce human motions. Additionally, he introduced a novel method for identifying the inertia matrix of multi-DOF FJRs using frequency response analysis, a technique that overcomes nonlinearity issues by leveraging resonance and anti-resonance frequencies. Through these contributions, Lee is advancing the frontier of flexible robotics, making them more reliable and capable for tasks ranging from industrial automation to human-robot collaboration.