Dongmyoung Lee
Papers
6
Total Citations
40
H-Index
4
About
Dongmyoung Lee is a roboticist pushing the boundaries of deformable object manipulation, with a particular focus on the complex challenges posed by garments and soft materials. His research centers on enabling robots to perceive, grasp, and manipulate cloth—a notoriously difficult task due to fabric’s infinite degrees of freedom. Lee’s major contributions include pioneering methods for identifying and grasping structural garment regions (like collars and sleeves) to facilitate tasks such as automated hanging, and developing a novel soft continuum robot (SCoReS) capable of self-controlling variable curvature at the segment level. He has also introduced the Gripper-on-Gripper (G.O.G) design, which enables bimanual cloth manipulation using a single robotic arm, and advanced synthetic data generation techniques that drastically reduce the annotation burden for multi-object grasping in clutter. With over 40 citations across his most-cited works, Lee’s impact is already evident. His recent work on a Therblig-based backbone for long-horizon robot task understanding and GraphGarment for learning garment dynamics further solidifies his reputation as a leading voice in robotic cloth handling. Lee’s innovations are paving the way for more capable, adaptable robots in domestic, healthcare, and industrial settings.
Research Focus
Key Achievements
Top Papers
- 1Learning to Grasp Clothing Structural Regions for Garment Manipulation Tasks13 citations · 2023
- 2A Soft Continuum Robot With Self-Controllable Variable Curvature11 citations · 2024
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- 5A Backbone for Long-Horizon Robot Task Understanding3 citations · 2025
- 6