Taejune Kong

2 accepted papers

2025

Mysteric-Net: MIMO Hysteretic Friction-aware Lagrangian-based Network for Legged Robot

Hoyeong Yeo, Jinsong Hong, Taejune Kong, Sehoon Oh

IROS 2025

Accurate dynamics modeling is crucial for achieving precise Ground Reaction Force (GRF) control and high-performance legged locomotion. However, real-world legged systems exhibit strong frictional effects with hysteresis and inter-joint coupling, which conventional static friction models or purely d

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2025

Novel LPV System Identification for a Gantry Stage: A Global Approach with Adjustable Basis Functions

Jegwon Yoon, Hanul Jung, Taejune Kong, Sehoon Oh

IROS 2025

Robotic gantry stages are a prevalent class of industrial robots used for precise positioning tasks in various fields, including semiconductor manufacturing, 3D printing, and automated assembly. However, these systems often exhibit time-varying dynamics because the position of the end-effector (i.e.

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