← Search

Zhi Qiang Tang

2 accepted papers

2020

A Probabilistic Model-Based Online Learning Optimal Control Algorithm for Soft Pneumatic Actuators

RA-L 2020

Soft robots are increasingly being employed in different fields and various designs are created to satisfy relevant requirements. The wide ranges of design bring challenges to soft robotic control in that a unified control framework is difficult to derive. Traditional model-driven approaches for sof

Cited by 22SourceScholar
2019

A Novel Iterative Learning Model Predictive Control Method for Soft Bending Actuators

ICRA 2019poster

Soft robots attract research interests worldwide. However, its control remains challenging due to the difficulty in sensing and accurate modeling. In this paper, we propose a novel iterative learning model predictive control (ILMPC) method for soft bending actuators. The uniqueness of our approach i…

Cited by 33SourceScholar