Seungyeon Kim

Orcid: 0000-0001-6708-5684

Affiliations:

Seoul National University, Seoul, Korea

According to our database¹, Seungyeon Kim authored at least 10 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

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Bibliography

2025

Motion Manifold Flow Primitives for Task-Conditioned Trajectory Generation Under Complex Task-Motion Dependencies.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., July, 2025

DreamGrasp: Zero-Shot 3D Multi-Object Reconstruction from Partial-View Images for Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, July, 2025

Diverse Policy Learning via Random Obstacle Deployment for Zero-Shot Adaptation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., March, 2025

2024

Motion Manifold Flow Primitives for Language-Guided Trajectory Generation.

[BibT_eX]

[DOI]

CoRR, 2024

T<sup>2</sup>SQNet: A Recognition Model for Manipulating Partially Observed Transparent Tableware Objects.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

DSQNet: A Deformable Model-Based Supervised Learning Algorithm for Grasping Unknown Occluded Objects.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., July, 2023

Equivariant Motion Manifold Primitives.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

Leveraging 3D Reconstruction for Mechanical Search on Cluttered Shelves.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

A Statistical Manifold Framework for Point Cloud Data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

SE(2)-Equivariant Pushing Dynamics Models for Tabletop Object Manipulations.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Seungyeon Kim

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