Hogun Kee

Orcid: 0009-0008-3320-5658

According to our database1, Hogun Kee authored at least 12 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Modality-Augmented Fine-Tuning of Foundation Robot Policies for Cross-Embodiment Manipulation on GR1 and G1.
CoRR, December, 2025

Tidiness Score-Guided Monte Carlo Tree Search for Visual Tabletop Rearrangement.
IEEE Robotics Autom. Lett., October, 2025

Language-Guided Hierarchical Planning with Scene Graphs for Tabletop Object Rearrangement.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Automatic Real-to-Sim-to-Real System through Iterative Interactions for Robust Robot Manipulation Policy Learning with Unseen Objects.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

2024
Gradual Receptive Expansion Using Vision Transformer for Online 3D Bin Packing.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Unsupervised 3D Part Decomposition via Leveraged Gaussian Splatting.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023
Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Object Rearrangement Planning for Target Retrieval in a Confined Space with Lateral View.
IROS, 2023

SDF-Based Graph Convolutional Q-Networks for Rearrangement of Multiple Objects.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Grasp Planning for Occluded Objects in a Confined Space with Lateral View Using Monte Carlo Tree Search.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2020
No-Regret Shannon Entropy Regularized Neural Contextual Bandit Online Learning for Robotic Grasping.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Hierarchical 6-DoF Grasping with Approaching Direction Selection.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020


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