Hierarchical 6-DoF Grasping with Approaching Direction Selection. - Yunho Choi; Hogun Kee; Kyungjae Lee 001; Jaegoo Choy; Junhong Min; Sohee Lee; Songhwai Oh (ICRA, 2020)

No-Regret Shannon Entropy Regularized Neural Contextual Bandit Online Learning for Robotic Grasping. - Kyungjae Lee 001; Jaegu Choy; Yunho Choi; Hogun Kee; Songhwai Oh (IROS, 2020)

Grasp Planning for Occluded Objects in a Confined Space with Lateral View Using Monte Carlo Tree Search. - Minjae Kang 002; Hogun Kee; Junseok Kim; Songhwai Oh (IROS, 2022)

SDF-Based Graph Convolutional Q-Networks for Rearrangement of Multiple Objects. - Hogun Kee; Minjae Kang 002; Dohyeong Kim; Jaegoo Choy; Songhwai Oh (ICRA, 2023)

Object Rearrangement Planning for Target Retrieval in a Confined Space with Lateral View. - Minjae Kang 002; Junseok Kim; Hogun Kee; Songhwai Oh (IROS, 2023)

Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback. - Minyoung Hwang; Gunmin Lee; Hogun Kee; Chan Woo Kim; Kyungjae Lee 001; Songhwai Oh (NeurIPS, 2023)

Unsupervised 3D Part Decomposition via Leveraged Gaussian Splatting. - Jaegoo Choy; Geonho Cha; Hogun Kee; Songhwai Oh (IROS, 2024)

Gradual Receptive Expansion Using Vision Transformer for Online 3D Bin Packing. - Minjae Kang 002; Hogun Kee; Yoseph Park; Junseok Kim; Jaeyeon Jeong; Geunje Cheon; Jaewon Lee; Songhwai Oh (IROS, 2024)

Tidiness Score-Guided Monte Carlo Tree Search for Visual Tabletop Rearrangement. - Hogun Kee; Wooseok Oh; Minjae Kang 002; Hyemin Ahn 001; Songhwai Oh (IEEE Robotics Autom. Lett., 2025)