Zhiwen Tu — accepted AI-conference papers

2026

Effective Robotic Cloth Grasping Through Suppressing False Discoveries

Xingyu Zhu, Zhiwen Tu, Yan Wu, Shan Luo, Hechang Chen, Yixing Gao

AAAI 2026technical

Enabling robots to grasp disorganized cloth for efficient storage is valuable in robot-assisted room organization. Diverse deformations of cloth and the stacking of multiple items limit grasping-pose estimation that relies on annotations. This necessitates segmenting each cloth item in an unsupervis

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2025

Generalizable Category-Level Topological Structure Learning for Clothing Recognition in Robotic Grasping

Xingyu Zhu, Yan Wu, Zhiwen Tu, Haifeng Zhong, Yixing Gao

IROS 2025

Recognizing various types of clothing is crucial for robotic clothing manipulation tasks, such as garment organization and robot-assisted dressing. Unlike rigid object recognition, clothing recognition remains a challenging task due to the diverse forms introduced by flexible deformations. However,

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