Sang-Min Ahn

Papers

Total Citations

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About

Sang-Min Ahn is a robotics researcher whose work centers on the control and actuation of humanoid robots, with a particular focus on overcoming the nonlinearities inherent in geared systems. His major contribution lies in developing robust control strategies to mitigate the destabilizing effects of mechanical backlash—a critical problem in humanoid locomotion and manipulation. In his most cited work, "Backlash compensation for a humanoid robot using disturbance observer" (2005, 13 citations), Ahn proposed a method to treat backlash as an external disturbance and cancel it in real time, enabling smoother and more reliable joint control. This approach directly addressed a fundamental challenge in building stable, torque-controlled humanoid platforms. While his citation count reflects a specialized, early-career impact, his work is notable for tackling a practical, hardware-level problem that often limits the performance of advanced humanoid robots. Ahn’s research bridges control theory and mechanical design, offering engineers a pragmatic solution for improving robot dexterity and safety. His contributions are particularly relevant for students and researchers working on actuator dynamics, disturbance observer design, and the practical implementation of humanoid systems.