Learning of Subgoals for Goal-Oriented Behavior Control of Mobile Robots. - Sang Hyoung Lee; Sanghoon Lee 002; Il Hong Suh; Wan Kyun Chung (ICONIP (1), 2008)

Bayesian network-based behavior control for skilligent robots. - Sang Hyoung Lee; Il Hong Suh (ICRA, 2009)

Goal-oriented dependable action selection using probabilistic affordance. - Sang Hyoung Lee; Il Hong Suh (SMC, 2010)

Incremental learning of primitive skills from demonstration of a task. - Sang Hyoung Lee; Hyung Kyu Kim; Il Hong Suh (HRI, 2011)

Behavior programming by kinesthetic demonstration for a chef robot. - Jae-Pyung Hwang; Sang Hyoung Lee; Il Hong Suh (URAI, 2011)

Learning basis skills by autonomous segmentation of humanoid motion trajectories. - Sang Hyoung Lee; Il Hong Suh; Sylvain Calinon; Rolf Johansson 001 (Humanoids, 2012)

Motivation-Based Dependable Behavior Selection Using Probabilistic Affordance. - Sang Hyoung Lee; Il Hong Suh (Adv. Robotics, 2012)

Skill Learning and Inference Framework. - Sang Hyoung Lee; Il Hong Suh (AGI, 2013)

Skill learning using temporal and spatial entropies for accurate skill acquisition. - Sang Hyoung Lee; Gyung Nam Han; Il Hong Suh; Bum-Jae You (ICRA, 2013)

Skill learning and inference framework for skilligent robot. - Sang Hyoung Lee; Il Hong Suh (IROS, 2013)

Learning of social skills for Human-Robot Interaction by hierarchical HMM and interaction dynamics. - Min Gu Kim; Sang Hyoung Lee; Il Hong Suh (ICEIC, 2014)

Learning of motor skills based on grossness and fineness of movements in daily-life tasks. - Sang Hyoung Lee; Nam Jun Cho; Il Hong Suh (ICRA, 2014)

Enhancement of Layered Hidden Markov Model by brain-inspired feedback mechanism. - Sang Hyoung Lee; Min Gu Kim; Il Hong Suh (IROS, 2014)

Autonomous framework for segmenting robot trajectories of manipulation task. - Sang Hyoung Lee; Il Hong Suh; Sylvain Calinon; Rolf Johansson 001 (Auton. Robots, 2015)

Autonomous learning how to interact in a human-robot joint assembly work. - Nam Jun Cho; Sang Hyoung Lee; Il Hong Suh; Hong-Seok Kim (URAI, 2016)

Representation and reproduction of skills to adapt affine variations in programming by demonstration. - Jae-Pyung Hwang; Sang Hyoung Lee; Il Hong Suh (URAI, 2016)

Modeling and evaluating Gaussian mixture model based on motion granularity. - Nam Jun Cho; Sang Hyoung Lee; Il Hong Suh (Intell. Serv. Robotics, 2016)

Motion-Based Learning. - Il Hong Suh; Sang Hyoung Lee (Context Aware Human-Robot and Human-Agent Interaction, 2016)

Adaptive time scaling to guarantee temporal constraints based on motion significance. - Nam Jun Cho; Sang Hyoung Lee; Il Hong Suh; Hong-Seok Kim (RO-MAN, 2017)

Measuring motion significance and motion complexity. - Il Hong Suh; Sang Hyoung Lee; Nam Jun Cho; Wooyoung Kwon (Inf. Sci., 2017)

Motion codeword generation using selective subsequence clustering for human action recognition. - Wooyoung Kwon; Sang Hyoung Lee; Il Hong Suh (Intell. Serv. Robotics, 2017)

Modeling Social Interaction Based on Joint Motion Significance. - Nam Jun Cho; Sang Hyoung Lee; Taesoo Kwon; Il Hong Suh; Hong-Seok Kim (IROS, 2018)

Probabilistic Modeling of Reaction Force/Torque through Fourier Transform and Entropy Analysis. - Nam Jun Cho; Sang Hyoung Lee; Il Hong Suh; Hong-Seok Kim (ICEIC, 2019)

Relationship Between the Order for Motor Skill Transfer and Motion Complexity in Reinforcement Learning. - Nam Jun Cho; Sang Hyoung Lee; Il Hong Suh; Hong-Seok Kim (IEEE Robotics Autom. Lett., 2019)

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)

Learning-Based Automation of Robotic Assembly for Smart Manufacturing. - Sang-Hoon Ji; Sukhan Lee 001; Sujeong Yoo; Il Hong Suh; In-So Kweon; Frank C. Park 001; Sang Hyoung Lee; Hongseok Kim (Proc. IEEE, 2021)