Papers
13
Total Citations
107
H-Index
6
About
Beomyeong Park is a robotics researcher specializing in humanoid robot control, locomotion, and teleoperation systems, with a particular focus on advancing the capabilities of bipedal robots in complex, real-world environments. Park gained early prominence through pivotal contributions to Team SNU (Seoul National University) at the 2015 DARPA Robotics Challenge Finals, where the team's innovative system architecture and control strategies earned recognition among newly qualified competitors — work documented across multiple highly cited publications accumulating nearly 50 citations combined. His research has made meaningful advances in humanoid walking pattern generation, including Model Predictive Control frameworks that minimize center-of-mass velocity fluctuation, pelvic rotation strategies for extending stride length, and heel-strike and toe-off locomotion techniques that mirror natural human gait. Park has also explored hybrid position-torque ankle controllers for improving zero-moment point accuracy during walking. More recently, his work has expanded into robotic avatar systems, contributing to Team SNU's participation in the ANA Avatar XPRIZE Finals, where intuitive teleoperation and rich telepresence were central challenges. Across his career, Park has consistently bridged theoretical motion planning with practical robotic implementation, producing research that meaningfully advances humanoid robot performance in both competitive and real-world applications.
Research Focus
Key Achievements
Top Papers
- 1Approach of Team SNU to the DARPA Robotics Challenge finals28 citations · 2015
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- 8Wall cutting strategy for circular hole using humanoid robot5 citations · 2015
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