基于液晶弹性体的柔性机器人执行器建模与控制策略

IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Jundong Wu, Yawu Wang, Wenjun Ye, Jinhua She, C. Su
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引用次数: 1

摘要

液晶弹性体是一种具有独特物理和化学性质的软材料,在机器人软作动器领域的发展提供了多种可能性。这种类型的材料能够在各种外部刺激下表现出大的,可逆的变形,包括热,电场或磁场,光等,这可能会导致广泛的不同应用,如生物传感器,人造肌肉,光学设备,太阳能电池工厂等。基于这些可能性,建立基于液晶弹性体的作动器的建模和控制策略,以获得其物理动力学的准确预测和描述是非常重要的。然而,目前对该类致动器的研究主要集中在材料性能和制造方面,对该类致动器的建模和控制的研究还处于初级阶段。为了更好地从控制的角度了解该主题的研究现状,本文简要介绍了基于液晶弹性体的软机器人执行器的建模和控制方面的最新研究进展。本文将介绍致动器的变形机理,以及基本概念。本文将对基于液晶弹性体的致动器的建模和控制的现有研究进行组织和介绍,以提供该领域的概述以及未来的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and Control Strategies for Liquid Crystal Elastomer-Based Soft Robot Actuator
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.
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来源期刊
CiteScore
1.50
自引率
14.30%
发文量
89
期刊介绍: JACIII focuses on advanced computational intelligence and intelligent informatics. The topics include, but are not limited to; Fuzzy logic, Fuzzy control, Neural Networks, GA and Evolutionary Computation, Hybrid Systems, Adaptation and Learning Systems, Distributed Intelligent Systems, Network systems, Multi-media, Human interface, Biologically inspired evolutionary systems, Artificial life, Chaos, Complex systems, Fractals, Robotics, Medical applications, Pattern recognition, Virtual reality, Wavelet analysis, Scientific applications, Industrial applications, and Artistic applications.
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