Zhuang Fu — accepted AI-conference papers

2026

Disturbance-Robust Dynamical System Learning With Neural ODEs and Flow-Matching Augmentation

Bang Liu, Pingyun Nie, Zhuang Fu, Tianxiang Jiang, Zi Fang, Jianfeng Yao +1

RA-L 2026

Autonomous dynamical systems (DS) are essential for imitation learning but often face challenges in simultaneously achieving high accuracy, stability guarantees, and resistance to disturbances. To overcome these limitations, this paper proposes a globally stable DS with trajectory attraction and dis

Cited by 0 Source ↗Scholar ↗

2025

Neural-Guided RRT*: Learning-Based Planning of Entry Point and Puncture Path for Steerable Bevel-Tip Needle Insertion

Jianfeng Yao, Zhuang Fu, Zi Fang, Ziwen Guo, Fei Jing

RA-L 2025

Flexible needle percutaneous puncture demands precise and efficient path planning to ensure surgical safety and success. However, traditional algorithms often struggle to balance real-time performance and planning quality in high-resolution, complex three-dimensional environments. This paper introdu

Cited by 5 Source ↗Scholar ↗