Songlin Wei

Orcid: 0000-0002-1487-1494

According to our database1, Songlin Wei authored at least 16 papers between 2022 and 2025.

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Bibliography

2025
RoboHanger: Learning Generalizable Robotic Hanger Insertion for Diverse Garments.
IEEE Robotics Autom. Lett., September, 2025

Unrolling Nonconvex Graph Total Variation for Image Denoising.
CoRR, June, 2025

GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data.
CoRR, May, 2025

Make a Donut: Hierarchical EMD-Space Planning for Zero-Shot Deformable Manipulation With Tools.
IEEE Robotics Autom. Lett., April, 2025

RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning.
CoRR, April, 2025

2024
Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks.
CoRR, 2024

GAPartManip: A Large-scale Part-centric Dataset for Material-Agnostic Articulated Object Manipulation.
CoRR, 2024

D3RoMa: Disparity Diffusion-based Depth Sensing for Material-Agnostic Robotic Manipulation.
CoRR, 2024

SAGE: Bridging Semantic and Actionable Parts for GEneralizable Articulated-Object Manipulation under Language Instructions.
Proceedings of the Robotics: Science and Systems XX, 2024

Open6DOR: Benchmarking Open-instruction 6-DoF Object Rearrangement and A VLM-based Approach.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

D<sup>3</sup>RoMa: Disparity Diffusion-based Depth Sensing for Material-Agnostic Robotic Manipulation.
Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023
Object Clustering With Dirichlet Process Mixture Model for Data Association in Monocular SLAM.
IEEE Trans. Ind. Electron., 2023

FG-NeRF: Flow-GAN based Probabilistic Neural Radiance Field for Independence-Assumption-Free Uncertainty Estimation.
CoRR, 2023

2022
Delay-Aware Multipath Parallel SFC Orchestration.
IEEE Access, 2022

SFC-HO: Reliable Layered Service Function Chaining.
IEEE Access, 2022

3D Object Aided Self-Supervised Monocular Depth Estimation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022


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