Seungmin Kim — accepted AI-conference papers

2026

Spatio-Temporal Motion Retargeting for Quadruped Robots

Taerim Yoon, Dongho Kang, Seungmin Kim, Jin Cheng, Min Sung Ahn, Stelian Coros +1

ICRA 2026poster

This work presents a motion retargeting approach for legged robots, aimed at transferring the dynamic and agile movements to robots from source motions. In particular, we guide the imitation learning procedures by transferring motions from source to target, effectively bridging the morphological dis…

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2025

Gait Optimization for Underwater Legged Robots Using Data-Driven Hydrodynamic Modeling and Reinforcement Learning

Seokyong Song, Taesik Kim, Seungmin Kim, Joonho Lee, Son-Cheol Yu

RA-L 2025

Precise close-contact inspections are critical in underwater environments, where complex dynamics and biofouling present significant challenges for conventional vehicles. To address these issues, this study proposes a Reinforcement Learning (RL)-based framework to optimize the gait of an underwater

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