Visual servoing by a fuzzy reasoning method. - Il Hong Suh; Tae Won Kim; Shin Heu; Sang-Rok Oh (IROS, 1991)

Fuzzy membership function based neural networks with applications to the visual servoing of robot manipulators. - Il Hong Suh; Tae Won Kim (IEEE Trans. Fuzzy Syst., 1994)

Analysis and design of two types of digital repetitive control systems. - Woo Sok Chang; Il Hong Suh; Tae Won Kim (Autom., 1995)

A visual servoing algorithm using fuzzy logics and fuzzy-neural networks. - Il Hong Suh; Tae Won Kim (ICRA, 1996)

A Novel Neuro-Fuzzy Controller for Autonomous Underwater Vehicles. - Tae Won Kim; Junku Yuh (ICRA, 2001)

Application of on-line neuro-fuzzy controller to AUVs. - Tae Won Kim; Junku Yuh (Inf. Sci., 2002)

Task description language for underwater robots. - Tae Won Kim; Junku Yuh (IROS, 2003)

A Transparent, High Barrier, and High Heat Substrate for Organic Electronics. - Min Yan; Tae Won Kim; Ahmet Gün Erlat; Matthew Pellow; Donald F. Foust; Jie Liu; Marc Schaepkens; Christian M. Heller; Paul A. McConnelee; Thomas P. Feist; Anil R. Duggal (Proc. IEEE, 2005)

The use of neural networks in the analysis of sleep stages and the diagnosis of narcolepsy. - Jens B. Stephansen; Aditya Ambati; Eileen B. Leary; Hyatt E. Moore IV; Oscar Carrillo; Ling Lin; Birgit Högl; Ambra Stefani; Seung Chul Hong; Tae Won Kim; Fabio Pizza; Giuseppe Plazzi; et al. (CoRR, 2017)

Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image. - Tae Won Kim; Yeseong Park; Youngbin Park; Il Hong Suh (CoRR, 2020)

Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping by State Representation Learning Based on a Preprocessed Input Image. - Tae Won Kim; Yeseong Park; Youngbin Park; Sang Hyoung Lee; Il Hong Suh (IROS, 2021)