Hankyul Kang

Hunan University of Science and Technology

Papers

Total Citations

H-Index

About

Hankyul Kang is a robotics and control systems researcher whose work focuses on advancing trajectory tracking and motion control for robotic manipulators. His most cited paper, "Nonlinear PD sliding mode control for robotic manipulator" (2017, 8 citations), introduces a novel control law that synergizes nonlinear PD (NPD) control with sliding mode control (SMC). This approach leverages the strengths of both methods—NPD’s robust feedback and SMC’s resilience to disturbances—to achieve precise tracking control for a 3-DOF planar robotic manipulator. By eliminating the need for complex linearization, Kang’s work offers a simpler yet effective solution for real-time robotic applications. While his citation count is modest, his contribution is notable for its practical elegance, addressing a fundamental challenge in robotics: balancing accuracy and robustness in dynamic environments. This research holds promise for industrial automation and advanced robotic systems, marking Kang as an emerging voice in nonlinear control theory and its application to mechanical systems.