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Wu J, Wang Y, Ye W, She J, Su CY. Modeling and Control Strategies for Liquid Crystal Elastomer-Based Soft Robot Actuator. JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS 2023. [DOI: 10.20965/jaciii.2023.p0235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2023]
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.
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Affiliation(s)
- Jundong Wu
- School of Automation, China University of Geosciences, 388 Lumo Road, Hongshan District, Wuhan 430074, China
- Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China
- Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan 430074, China
| | - Yawu Wang
- School of Automation, China University of Geosciences, 388 Lumo Road, Hongshan District, Wuhan 430074, China
- Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China
- Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan 430074, China
| | - Wenjun Ye
- Gina Cody School of Engineering and Computer Science, Concordia University, 1455 De Maisonneuve Blvd. W. Montreal, Quebec H3G 1M8, Canada
| | - Jinhua She
- School of Engineering, Tokyo University of Technology, 1404-1 Katakuramachi, Hachioji, Tokyo 192-0982, Japan
| | - Chun-Yi Su
- Gina Cody School of Engineering and Computer Science, Concordia University, 1455 De Maisonneuve Blvd. W. Montreal, Quebec H3G 1M8, Canada
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Destrade M, Dorfmann L, Saccomandi G. The Ogden model of rubber mechanics: 50 years of impact on nonlinear elasticity. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2022; 380:20210332. [PMID: 36031839 PMCID: PMC9421375 DOI: 10.1098/rsta.2021.0332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 07/29/2022] [Indexed: 06/15/2023]
Abstract
We place the Ogden model of rubber elasticity, published in Proceedings of the Royal Society 50 years ago, in the wider context of the theory of nonlinear elasticity. We then follow with a short interview of Ray Ogden FRS and introduce the papers collected for this Theme Issue. This article is part of the theme issue 'The Ogden model of rubber mechanics: Fifty years of impact on nonlinear elasticity'.
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Affiliation(s)
- Michel Destrade
- School of Mathematical and Statistical Sciences, NUI Galway, Galway, Republic of Ireland
| | - Luis Dorfmann
- Department of Civil and Environmental Engineering, Tufts University, Medford, MA 02155, USA
| | - Giuseppe Saccomandi
- Dipartimento di Ingegneria, Università degli studi di Perugia, 06125 Perugia, Italy
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