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Shirui Wu

2 accepted papers

2025

Self-Supervised Learning of Reconstructing Deformable Linear Objects Under Single-Frame Occluded View

ICRA 2025

Deformable linear objects (DLOs), such as ropes, cables, and rods, are common in various scenarios, and accurate occlusion reconstruction of them is crucial for effective robotic manipulation. Previous studies for DLO reconstruction either rely on supervised learning, which is limited by the availab

Cited by 1SourceScholar
2022

Equilibrium Manipulation Planning for a Soft Elastic Rod Considering an External Distributed Force and Intrinsic Curvature

RA-L 2022

Previous work has shown that the set of equilibrium shapes of a rod is a smooth 6-dimensional manifold. We develop the Kirchhoff rod model in a differential equation form using Darboux vector that easily adds distributed force and intrinsic curvature. It can be seen that in this letter, the manifold

Cited by 8SourceScholar