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About

Myeong-Ju Kim is a robotics researcher specializing in humanoid locomotion, bipedal walking control, and robotic avatar systems. His work sits at the intersection of motion planning, balance control, and human-robot interaction, with a particular focus on enabling humanoid robots to walk robustly and efficiently in real-world environments. Among his most significant contributions is the development of novel foot-stepping algorithms that leverage Capture Point control and dynamic double support phase adjustment, enabling humanoids to maintain balance against external disturbances. His research into pelvis-rotation-based walking patterns advances long-stride locomotion by fully exploiting robot kinematics while compensating for yaw angular momentum through arm swing strategies. Kim has also pioneered proprioceptive external torque learning methods that eliminate the need for costly force-torque sensors, reducing system complexity without sacrificing locomotion safety or stability. Beyond locomotion, Kim contributed to the ANA Avatar XPRIZE Finals as part of Team SNU, developing intuitive teleoperation systems that deliver immersive telepresence through responsive avatar robots. His 2024 review of humanoid walking technologies reflects his broad command of the field. Collectively, his publications have accumulated over 45 citations, marking him as an emerging voice in the humanoid robotics research community.