Modeling and Control Strategies for Liquid Crystal Elastomer-Based Soft Robot Actuator

Author:

Wu Jundong123ORCID,Wang Yawu123ORCID,Ye Wenjun4ORCID,She Jinhua5ORCID,Su Chun-Yi4ORCID

Affiliation:

1. School of Automation, China University of Geosciences, 388 Lumo Road, Hongshan District, Wuhan 430074, China

2. Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China

3. Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan 430074, China

4. Gina Cody School of Engineering and Computer Science, Concordia University, 1455 De Maisonneuve Blvd. W. Montreal, Quebec H3G 1M8, Canada

5. School of Engineering, Tokyo University of Technology, 1404-1 Katakuramachi, Hachioji, Tokyo 192-0982, Japan

Abstract

Liquid crystal elastomer is a type of soft material with unique physical and chemical properties that offer a variety of possibilities in the growing field of soft robot actuators. This type of material is able to exhibit large, revertible deformation under various external stimuli, including heat, electric or magnetic fields, light, etc., which may lead to a wide range of different applications such as bio-sensors, artificial muscles, optical devices, solar cell plants, etc. With these possibilities, it is important to establish modeling and control strategies for liquid crystal elastomer-based actuators, to obtain the accurate prediction and description of its physical dynamics. However, so far, existing studies on this type of the actuators mainly focus on material properties and fabrication, the state of art on the modeling and control of such actuators is still preliminary. To gain a better understanding on current studies of the topic from the control perspective, this review provides a brief collection on recent studies on the modeling and control of the liquid crystal elastomer-based soft robot actuator. The review will introduce the deformation mechanism of the actuator, as well as basic concepts. Existing studies on the modeling and control for the liquid crystal elastomer-based actuator will be organized and introduced to provide an overview in this field as well as future insights.

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

China University of Geosciences

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

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