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Author

Seungyeon Kim

2 papers indexed here

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Preprint Aug 2026

ChainSplat: A Physics-Inspired Screw-Theoretic Model for Learning Deformable Linear Object Dynamics from Multi-View RGB Videos

Identifying the underlying dynamics and 3D geometry of deformable linear objects (DLOs), such as cables, ropes, and hoses, is essential for accurate robotic manipulation, but remains challenging due to their high-dimensional configuration spaces and diverse behaviors arising from varying material properties. Existing m...

Seungyeon Kim, Noémie Jaquier · 0 citations
Nov 2026

Zero-Shot Scene Geometry Recognition From Sparse Partial-View Images: Leveraging Generative Diffusion Models for Robotic Manipulation Tasks

Partial-view 3D recognition – reconstructing 3D geometry and identifying object instances from a few sparse RGB images – is an exceptionally challenging yet practically essential task, particularly in cluttered, occluded real-world settings where full-view or reliable depth data are often unavailable. Existing methods,...

Young Hun Kim, Seungyeon Kim, Yonghyeon Lee et al. · 1 citation

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