ETRI Knowledge Sharing Platform : Koo Youngjun

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Koo Youngjun

KSP Keywords: Arm Swing Dynamics-Based Human Gait Metabolic Energy Injection Method Forward Dynamics Learning-Based Gait Phases Robot System Joint Kinematics Learning Methods Wide Range Cable-Driven Effect Of Noise Neural Network(NN) Gait Model Upper Body Reinforcement Learning(RL) Kinematics Analysis Control System Network-Based Three Dimensional(3D) Balance Recovery Gait Controller Gait Simulation Imitation Learning Neuronal Control Noise Injection Dynamic Environment External Force

논문 검색결과
Type	Year	Title
Journal	2025	Active Arm Swing During Running Improves Rotational Stability of the Upper Body and Metabolic Energy Efciency Young‑Jun Koo Annals of Biomedical Engineering, v.권호미정, pp.1-11
Conference	2024	Gait phase-free neural network-based controller for cable-driven assistive suits Young-Jun Koo International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.1972-1974
Journal	2024	Hindfoot joint kinematics analysis after the resection of talocalcaneal coalition Junyo Boo Gait and Posture, v.111, pp.48-52
Conference	2023	The effect of noise injection method on DRL-based controller robustness of human gait model Young-Jun Koo International Conference on Information and Communication Technology Convergence (ICTC) 2023, pp.1677-1680

특허 검색결과
Status	Year	Patent Name	Country	Family Pat.	KIPRIS
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기술이전 검색결과
Year	Technology	Transaction Count	Manager
2024	Physics engine-based walking motion simulator technology	2	Lee Seong-Ho

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