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About

Hangyeol Song is a rising researcher in robotics and actuation systems, with a focus on magnetic gear-based mechanisms and variable transmission technologies. His work centers on designing compact, high-performance actuators for dynamic robotic platforms, including legged robots and small-to-mid-sized mechanical systems. Song’s major contributions include the development of a coaxial magnetic gear-based actuator that enables non-contact torque control, eliminating mechanical wear and enabling sensorless operation—a breakthrough for reliable, maintenance-free robotic joints. He also pioneered a continuously variable transmission and stiffness actuator that combines variable transmission ratios with adjustable stiffness, offering unprecedented adaptability for highly dynamic motions. His most cited work, "Magnetic Gear-Based Actuator" (2023), has garnered 12 citations, while his CVT-stiffness actuator paper (2024) has already attracted 8 citations, reflecting growing interest in his innovations. Additionally, Song introduced a coaxial magnetic gear-based tool-changing system, demonstrating the versatility of magnetic coupling for non-contact power transmission in robotic tool interfaces. His research bridges mechanical design and control theory, offering practical solutions for next-generation robots requiring agility, efficiency, and robustness.