Yaohua Zhou — accepted AI-conference papers

2025

Dynamics Decoupling and Control of a 3-DOF Force-Controlled End-Effector Based on Force Sensors

Licheng Zhang, Shuang Chen, Chin-Yin Chen, Yaohua Zhou, Junjie Dai, Guolong Zhang +2

RA-L 2025

A 3-DOF force-controlled end-effector based on a parallel mechanism is an effective approach for high-precision polishing in industrial applications. However, the dynamic modeling of rigid-flexible coupling in parallel mechanisms, as well as the decoupled control of friction and coupling forces, rem

Cited by 1 Source ↗Scholar ↗

2022

A Sampling-Based Motion Assignment Strategy With Multi-Performance Optimization for Macro-Micro Robotic System

Yaohua Zhou, Chin-Yin Chen, Guilin Yang, Yaonan Li

RA-L 2022

This article proposes a sampling-based motion assignment strategy for coordinated motion planning of macro-micro robotic systems. It is used to achieve performance enhancements while solving joint trajectories. The sampling strategy is implemented by traversing a series of feasible sets generated by

Cited by 7 Source ↗Scholar ↗