Embedded Files
(C: conference / J: journal / W: workshop / P: preprint / *: equal contribution)
2025
[C11] Isometric Regularization for Manifolds of Functional Data
Hyeongjun Heo, Seonghun Oh, Jae Yong Lee, Young Min Kim, and Yonghyeon Lee
ICLR 2025: International Conference on Learning Representations
[J6] Diverse Policy Learning via Random Obstacle Deployment for Zero-Shot Adaptation
Seokjin Choi*, Yonghyeon Lee*, Seungyeon Kim, Che-Sang Park, Himchan Hwang, and Frank C. Park
RA-Letters 2025: IEEE Robotics and Automation Letters
2024
[P4] Trajectory Manifold Optimization for Fast and Adaptive Kinodynamic Motion Planning
[P3] Motion Manifold Flow Primitives for Task-Conditioned Trajectory Generation under Complex Task-Motion Dependencies
[C10] T2SQNet: A Recognition Model for Manipulating Partially Observed Transparent Tableware Objects
Young Hun Kim*, Seungyeon Kim*, Yonghyeon Lee, and Frank C. Park
CoRL 2024: Conference on Robot Learning
Project page, Code, Video, Poster, OpenReview
[C9] EquiGraspFlow: SE(3)-Equivariant 6-DoF Grasp Pose Generative Flows
Byeongdo Lim*, Jongmin Kim*, Jihwan Kim, Yonghyeon Lee, and Frank C. Park
CoRL 2024: Conference on Robot Learning
Project page, Code, Video, Poster, OpenReview
[J5] MMP++: Motion Manifold Primitives with Parametric Curve Models
[C8] Graph Geometry-Preserving Autoencoders
Jungbin Lim*, Jihwan Kim*, Yonghyeon Lee, Cheongjae Jang, and Frank C. Park
ICML 2024: International Conference on Machine Learning
[W3] Leveraging Equivariant Representations of 3D Point Clouds for SO(3)-Equivariant 6-DoF Grasp Pose Generation
Byeongdo Lim*, Jongmin Kim*, Jihwan Kim, Yonghyeon Lee, and Frank C. Park
ICRA 2024 Workshop on 3D Visual Representations for Robot Manipulation
[W2] Behavior-Controllable Stable Dynamics Models in Riemannian Configuration Manifolds
Byeongho Lee*, Yonghyeon Lee*, Junsu Ha*, and Frank C. Park
ICRA 2024 Workshop Innovations and Applications of Human Modelling in Physical Human-Robot Interaction
2023
[J4] NFL: Normal Field Learning for 6-DoF Grasping of Transparent Objects
Junho Lee, Sang Min kim, Yonghyeon Lee, and Young Min Kim
RA-Letters 2023: IEEE Robotics and Automation Letters
[P2] A Geometric Perspective on Autoencoders
[C7] Equivariant Motion Manifold Primitives
Byeongho Lee*, Yonghyeon Lee*, Seungyeon Kim, Minjun Son, and Frank C. Park
CoRL 2023: Conference on Robot Learning
[C6] Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves
Seungyeon Kim*, Young Hun Kim*, Yonghyeon Lee, and Frank C. Park
CoRL 2023: Conference on Robot Learning
[W1] On Explicit Curvature Regularization in Deep Generative Models
Yonghyeon Lee, and Frank C. Park
TAG-ML in ICML 2023 (Annual Topology, Algebra, and Geometry in Machine Learning Workshop)
[C5] Geometrically regularized autoencoders for non-Euclidean data
Cheongjae Jang, Yonghyeon Lee, Yung-Kyun Noh, and Frank C. Park
ICLR 2023: International Conference on Learning Representations
2022
[C4] SE(2)-Equivariant Pushing Dynamics Models for Tabletop Object Manipulations
Seungyeon Kim, Byeongdo Lim, Yonghyeon Lee, and Frank C. Park
CoRL 2022: Conference on Robot Learning (oral presentation, 6.5%, 33/504)
[J3] DSQNet: A Deformable Model-Based Supervised Learning Algorithm for Grasping Unknown Occluded Objects
Seungyeon Kim*, Taegyun Ahn*, Yonghyeon Lee, Jihwan Kim, Michael Yu Wang, and Frank C. Park
T-ASE 2022: IEEE Transactions on Automation Science and Engineering
2021
[C1] Neighborhood Reconstructing Autoencoders
[C1] Neighborhood Reconstructing Autoencoders
Yonghyeon Lee, Hyukjun Kwon, and Frank C. Park
NeurIPS 2021: Conference on Neural Information Processing Systems
PDF, Proceeding, Code, Video, Slide, Poster, OpenReivew
2020
[J1] Context awareness and step length estimation by shape distance and H-features
[J1] Context awareness and step length estimation by shape distance and H-features
Daehyun Kim, Yonghyeon Lee, and Chan Gook Park
IJCAS 2020: International Journal of Control, Automation, and Systems
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