Zhufeng Shao — accepted AI-conference papers

2024

A Numerical Approximation Approach for Deriving Computational Efficient Inverse Dynamics of 6-DOF Parallel Robots Based on Principle of Virtual Work

Zhihua Liu, Chenguang Cai, Ming Yang, Zhufeng Shao, Qi Lv

RA-L 2024

The inverse dynamics of the six degree-of-freedom (6-DOF) parallel robot (PR) presents an inherent complexity due to the closed-loop kinematic chains. To derive computational efficient inverse dynamics for real-time control, this study presents a numerical approximation (NA) approach based on the pr

Cited by 4 Source ↗Scholar ↗

2024

Filter-Enhanced Hypergraph Transformer for Multi-Behavior Sequential Recommendation

Zhufeng Shao, Shoujin Wang, Wenpeng Lu, Weiyu Zhang, Hongjiao Guan, Long Zhao

ICASSP 2024accepted

Sequential recommendation has been developed to predict the next item in which users are most interested by capturing user behavior patterns embedded in their historical interaction sequences. However, most existing methods appear to exhibit limitations in modeling fine-grained dependencies embedded…

Cited by 0 Source ↗Scholar ↗

2024

Torque Resistance Analysis and Dynamic Trajectory Planning for 3-DOF Cable Suspended Parallel Robot With Parallelogram Cable Loops

Hanqing Liu, Jinhao Duan, Zhufeng Shao, Stéphane Caro

RA-L 2024

This letter investigates the torque resistance performance and dynamic trajectory planning methods for general 3-DOF Cable Suspended Parallel Robots (CSPRs) with parallelogram cable loops, aiming to offer efficient and lightweight robotic equipment for industrial applications. The Torque Resistance

Cited by 11 Source ↗Scholar ↗