Peisen Liu — accepted AI-conference papers

2025

A light-controlled micromixer using optoelectronic tweezers

Feng Yan, Peisen Liu, Lixiang Zheng, Yuzhao Zhang, Tao Yue, Na Liu

IROS 2025

This work presents a flexible and effective micromixer based on optoelectronic tweezers (OET), which leverages both asymmetric induced-charge electro-osmosis (ICEO) and dielectrophoresis (DEP) phenomena on microscale anisotropic NdFeB particles. The asymmetric ICEO phenomenon is generated by symmetr

Cited by 0 Source ↗Scholar ↗

2022

Human-Robot Variable Impedance Skills Transfer Learning Based on Dynamic Movement Primitives

Xinbo Yu, Peisen Liu, Wei He, Yu Liu, Qi Chen, Liang Ding

RA-L 2022

Endowing robots with human-like abilities to perform motor skills smoothly and naturally is one of the important goals of robotics. Learning from demonstration (LfD) has been successfully applied for learning tasks on robots, for which the human tutor can demonstrate a successful execution. Learning

Cited by 35 Source ↗Scholar ↗