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About

Yun-Ho Han is a robotics researcher specializing in bipedal locomotion and humanoid robot control, with a particular focus on achieving stable walking in challenging, real-world environments. His work addresses core challenges in the field, including walking on unknown slopes, navigating uneven terrain, and implementing robust torque control in robots with high-reduction gears. Han’s most notable contribution is the development of a humanoid robot for the 2018 Ski Robot Challenge, a project that demonstrated the practical application of his research in extreme conditions. His work on a "Variable Stiffness Sole" (VSS) is particularly innovative, drawing inspiration from biomechanics to allow a robot’s foot to adapt to obstacles on the ground. Furthermore, Han has tackled the difficult problem of torque control in robots with high joint friction and low backdrivability, proposing methods to achieve accurate biped walking without direct joint torque feedback. With over 28 citations across his most influential papers, Han’s research is steadily gaining recognition for its practical, hardware-focused approach to making humanoid robots more adaptable and resilient in unstructured environments.