| 2021 | ICRA | 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 |
| 2021 | IROS | 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 |
| 2018 | IROS | Modeling Social Interaction Based on Joint Motion Significance. | Nam Jun Cho, Sang Hyoung Lee, Taesoo Kwon, Il Hong Suh, Hong-Seok Kim |
| 2017 | RO-MAN | Adaptive time scaling to guarantee temporal constraints based on motion significance. | Nam Jun Cho, Sang Hyoung Lee, Il Hong Suh, Hong-Seok Kim |
| 2014 | ICRA | Learning of motor skills based on grossness and fineness of movements in daily-life tasks. | Sang Hyoung Lee, Nam Jun Cho, Il Hong Suh |
| 2014 | IROS | Enhancement of Layered Hidden Markov Model by brain-inspired feedback mechanism. | Sang Hyoung Lee, Min Gu Kim, Il Hong Suh |
| 2013 | ICRA | Skill learning using temporal and spatial entropies for accurate skill acquisition. | Sang Hyoung Lee, Gyung Nam Han, Il Hong Suh, Bum-Jae You |
| 2013 | IROS | Skill learning and inference framework for skilligent robot. | Sang Hyoung Lee, Il Hong Suh |
| 2011 | HRI | Incremental learning of primitive skills from demonstration of a task. | Sang Hyoung Lee, Hyung Kyu Kim, Il Hong Suh |
| 2010 | SMC | Goal-oriented dependable action selection using probabilistic affordance. | Sang Hyoung Lee, Il Hong Suh |
| 2009 | ICRA | Bayesian network-based behavior control for skilligent robots. | Sang Hyoung Lee, Il Hong Suh |
| 2008 | ICONIP | Learning of Subgoals for Goal-Oriented Behavior Control of Mobile Robots. | Sang Hyoung Lee, Sanghoon Lee, Il Hong Suh, Wan Kyun Chung |