Yingdong Ru — accepted AI-conference papers

2026

Masked Generative Policy for Robotic Control

Lipeng Zhuang, Shiyu Fan, Florent P. Audonnet, Yingdong Ru, Edmond S. L. Ho, Gerardo Aragon-Camarasa +1

ICLR 2026poster

We present Masked Generative Policy (MGP), a novel framework for visuomotor imitation learning. We represent actions as discrete tokens, and train a conditional masked transformer that generates tokens in parallel and then rapidly refines only low-confidence tokens. We further propose two new sampli…

Cited by 1 Source ↗code ↗Scholar ↗

2025

Can Real-to-Sim Approaches Capture Dynamic Fabric Behavior for Robotic Fabric Manipulation?

Yingdong Ru, Lipeng Zhuang, Zhuo He, Florent P. Audonnet, Gerardo Aragon-Camarasa

IROS 2025

This paper presents a rigorous evaluation of Real-to-Sim parameter estimation approaches for fabric manipulation in robotics. The study systematically assesses three state-of-the-art approaches, namely two differential pipelines and a data-driven approach. We also devise a novel physics-informed neu

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2025

Flat'n'Fold: A Diverse Multi-Modal Dataset for Garment Perception and Manipulation

Lipeng Zhuang, Shiyu Fan, Yingdong Ru, Florent P. Audonnet, Paul Henderson, Gerardo Aragon-Camarasa

ICRA 2025

We present Flat'n'Fold, a novel large-scale dataset for garment manipulation that addresses critical gaps in existing datasets. Comprising 1,212 human and 887 robot demonstrations of flattening and folding 44 unique garments across 8 categories, Flat'n'Fold surpasses prior datasets in size, scope, a

Cited by 3 Source ↗code ↗Scholar ↗