Papers
13
Total Citations
188
H-Index
7
About
Hyobin Jeong is a leading researcher in bipedal locomotion and humanoid robotics, specializing in robust walking control, push recovery, and whole-body motion imitation. Their major contributions center on developing advanced controllers that integrate ankle, hip, and stepping strategies to ensure stable biped walking even under disturbances, as demonstrated in their highly cited 2019 paper (68 citations) on online optimization. Jeong also pioneered foot placement control using capture point feedback (27 citations), enabling precise stabilization through desired Zero Moment Point generation. Their work extends to real-time humanoid remote control frameworks, allowing robots to imitate human motion via kinematic mapping and whole-body inverse kinematics (18 citations). With over 200 total citations across key publications, Jeong has addressed practical challenges like obstacle avoidance during push recovery and vehicle egress for humanoids. Notably, they have explored torque control for high-gear-ratio robots and quadruped locomotion, showcasing versatility. Their research is instrumental for advancing legged robots in dynamic environments, making Jeong a pivotal figure in the field.
Research Focus
Key Achievements
Top Papers
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- 7Avoiding Obstacles during Push Recovery Using Real-Time Vision Feedback7 citations · 2019
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- 10Optimization for Whole Body Reaching Motion Without Singularity6 citations · 2022