Scholar
Yonghyeon Lee
Google Scholar ID: jizxpZYAAAAJ
Postdoctoral Associate @ MIT
Citations & Impact
Citations
337
H-index
11
i10-index
13
Publications
20
Co-authors
21
list available
Publications
Resume (English only)
Academic Achievements
- Papers published: 'ScrewSplat: An End-to-End Method for Articulated Object Recognition' accepted at CoRL 2025; 'Motion Manifold Flow Primitives for Task-Conditioned Trajectory Generation under Complex Task-Motion Dependencies' accepted at RA-L 2025; 'Isometric Regularization for Manifolds of Functional Data' accepted at ICRL 2025; 'Diverse Policy Learning via Random Obstacle Deployment for Zero-Shot Adaptation' accepted at RA-L 2025; 'EquiGraspFlow: SE(3)-Equivariant 6-DoF Grasp Pose Generative Flows' and 'T2SQNet: A Recognition Model for Manipulating Partially Observed Transparent Tableware Objects' accepted at CoRL 2024; 'MMP++: Motion Manifold Primitives with Parametric Curve Models' accepted at T-RO; 'Graph Geometry-Preserving Autoencoders' accepted at ICML 2024; 'Behavior-Controllable Stable Dynamics Models in Riemannian Configuration Manifolds' and 'Leveraging Equivariant Representations of 3D Point Clouds for SO(3)-Equivariant 6-DoF Grasp Pose Generation' accepted at ICRA 2024 workshops; 'NFL: Normal Field Learning for 6-DoF Grasping of Transparent Objects' accepted at RA-Letters; 'Equivariant Motion Manifold Primitives' and 'Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves' accepted at CoRL 2023; 'On Explicit Curvature Regularization in Deep Generative Models' accepted at the 2nd Annual Topology, Algebra, and Geometry in Machine Learning Workshop in ICML 2023.
Research Experience
- Postdoctoral Associate at the MIT Biomimetic Robotics Lab, working with Prof. Sangbae Kim (since March 2025). AI Research Fellow at the Korea Institute for Advanced Study (KIAS) (March 2023 to February 2025). Conducted research during Ph.D. studies at SNU Robotics Lab.
Education
- Ph.D.: SNU Robotics Lab, advised by Prof. Frank C. Park (March 2018 – February 2023). B.S.: Mechanical Engineering and Physics at SNU.
Background
- Research Interests: Geometric Machine Learning, Perception for Manipulation, Reactive Planning and Control, Movement Primitives. Professional field: Physical intelligent robotic systems, particularly reactive and adaptive responses through visual, tactile, and proprioceptive feedback.
Miscellany
- Personal interests: Not specifically mentioned
