Map-Building and Localization by Three-Dimensional Local Features for Ubiquitous Service Robot. - Youngbin Park; Seungdo Jeong; Il Hong Suh; Byung-Uk Choi (ICUCT, 2006)

Hierarchical Abstraction of World Elements and Behaviors for efficient task planning of a mobile robot. - Youngbin Park; Il Hong Suh; Byung-Uk Choi (IROS, 2008)

Bayesian robot localization with action-associated sparse appearance-based map in a dynamic indoor environment. - Youngbin Park; Il Hong Suh; Byung-Uk Choi (IROS, 2009)

Visual Recognition of Types of Structural Corridor Landmarks Using Vanishing Points Detection and Hidden Markov Models. - Youngbin Park; Sung Su Kim; Il Hong Suh (ICPR, 2010)

Predictive visual recognition of types of structural corridor landmarks for mobile robot navigation. - Youngbin Park; Il Hong Suh (RO-MAN, 2010)

Lateral and feedback schemes for the inhibition of false-positive responses in edge orientation channels. - Youngbin Park; Il Hong Suh (ICRA, 2012)

Dependable dense stereo matching by both two-layer recurrent process and chaining search. - Sehyung Lee; Youngbin Park; Il Hong Suh (IROS, 2012)

Visual Recognition of Types of Corridor Segments for Mobile Robots. - Youngbin Park; Il Hong Suh (Adv. Robotics, 2012)

Empirical Evaluation on Deep Learning of Depth Feature for Human Activity Recognition. - Junik Jang; Youngbin Park; Il Hong Suh (ICONIP (3), 2013)

Oriented edge-selective band-pass filtering. - Youngbin Park; Il Hong Suh (Inf. Sci., 2014)

Predicting Multiple Pregrasping Poses by Combining Deep Convolutional Neural Networks with Mixture Density Networks. - Sungphill Moon; Youngbin Park; Il Hong Suh (ICONIP (3), 2016)

Tracking Human-like Natural Motion Using Deep Recurrent Neural Networks. - Youngbin Park; Sungphill Moon; Il Hong Suh (CoRR, 2016)

DeepNAP: Deep neural anomaly pre-detection in a semiconductor fab. - Chunggyeom Kim; Jinhyuk Lee; Raehyun Kim; Youngbin Park; Jaewoo Kang (Inf. Sci., 2018)

Tracking human-like natural motion by combining two deep recurrent neural networks with Kalman filter. - Jong-Bok Kim; Youngbin Park; Il Hong Suh (Intell. Serv. Robotics, 2018)

Object Singulation by Nonlinear Pushing for Robotic Grasping. - Jongsoon Won; Youngbin Park; Byung-Ju Yi; Il Hong Suh (IROS, 2019)

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)

Integration of top-down and bottom-up visual processing using a recurrent convolutional-deconvolutional neural network for semantic segmentation. - Byung Wan Kim; Youngbin Park; Il Hong Suh (Intell. Serv. Robotics, 2020)

Sim-to-Real Visual Grasping via State Representation Learning Based on Combining Pixel-Level and Feature-Level Domain Adaptation. - Youngbin Park; Sang Hyoung Lee; Il Hong Suh (ICRA, 2021)

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)