Junghyo Kim — accepted AI-conference papers

2025

High DOF Tendon-Driven Soft Hand: A Modular System for Versatile and Dexterous Manipulation

Yeonwoo Jang, Hajun Lee, Junghyo Kim, Taerim Yoon, Yoonbyung Chai, Heejae Won +2

IROS 2025

The soft robotic hand exhibits a wide range of manipulation capabilities, which are attributed to the dexterity of its soft fingers and their coordinated movements. Therefore, designing a versatile soft hand requires careful consideration of both the characteristics of the individual fingers, such a

Cited by 0 Source ↗Scholar ↗

2024

Kinematics-Informed Neural Networks: Enhancing Generalization Performance of Soft Robot Model Identification

Taerim Yoon, Yoonbyung Chai, Yeonwoo Jang, Hajun Lee, Junghyo Kim, Jaewoon Kwon +2

RA-L 2024

A hybrid system combining rigid and soft robots (e.g., soft fingers attached to a rigid arm) ensures safe and dexterous interaction with humans. Nevertheless, modeling complex movements involving both soft and rigid robots presents a challenge. Additionally, the difficulty of obtaining large dataset

Cited by 9 Source ↗Scholar ↗