Jeongwoo Hong — accepted AI-conference papers

2024

Iterative Periodic Running Control Through Swept Angle Adjustment With Modified SLIP Model

Woosong Kang, Jeil Jeong, Jeongwoo Hong, Changmin Yeo, Dong Il Park, Sehoon Oh

RA-L 2024

This paper presents a periodic running control strategy based on a modified Spring-Loaded Inverted Pendulum (SLIP) model to achieve stable running at various velocities. While the traditional SLIP model is valued for its simplicity and intuitive representation of running dynamics, its limitations im

Cited by 1 Source ↗Scholar ↗

2024

SLIP Embodied Robust Quadruped Robot Control

Jinsong Hong, Changmin Yeo, Sangjin Bae, Jeongwoo Hong, Sehoon Oh

IROS 2024

Recent research on quadruped robots has been achieving high-performance motion control based on optimization and reinforcement learning (RL). However, there is still ongoing research aimed at demonstrating that implementing high-performance motion based on simple and dominant dynamic principles is p

Cited by 4 Source ↗Scholar ↗