Jie Liu , Dezheng Jiang , Zhiyong Li , Junfeng He , Linjie Jian , Hongxin Wang , Guilin Wen , Zhen-Pei Wang , Yi Min Xie
{"title":"On the nonlinear dynamic performance of a novel bistability-driven soft robot","authors":"Jie Liu , Dezheng Jiang , Zhiyong Li , Junfeng He , Linjie Jian , Hongxin Wang , Guilin Wen , Zhen-Pei Wang , Yi Min Xie","doi":"10.1016/j.advengsoft.2025.103940","DOIUrl":null,"url":null,"abstract":"<div><div>Soft robots have many advantages, including large deformation and excellent motion capability in complex environments. Finding the dynamic behaviour of soft robots is essential for their control and performance optimization. This work has theoretically and experimentally studied the nonlinear dynamic performances of a novel bistability-driven soft robot. The bistable structure consists of a soft spine, an origami shell, and tension springs, which is the critical component to drive the soft robot to move fast, but also generates complex nonlinear dynamic behavior. A nonlinear dynamic model of the soft robot is established based on the piecewise constant curvature method, the generalized coordinate, and Lagrange equations. Extensive experiments have been conducted to investigate the nonlinear dynamic performance of the soft spine, the bistable structure, and the soft robot. Dynamic tests have verified the effectiveness of the theoretical model in terms of the bending angle, velocity, and acceleration changes with time and the deformation morphology at limit states. Results show that the soft robot can switch between two stable states in 0.5 s and rapidly stabilize, enabling rapid movement.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"206 ","pages":"Article 103940"},"PeriodicalIF":4.0000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Engineering Software","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S096599782500078X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Soft robots have many advantages, including large deformation and excellent motion capability in complex environments. Finding the dynamic behaviour of soft robots is essential for their control and performance optimization. This work has theoretically and experimentally studied the nonlinear dynamic performances of a novel bistability-driven soft robot. The bistable structure consists of a soft spine, an origami shell, and tension springs, which is the critical component to drive the soft robot to move fast, but also generates complex nonlinear dynamic behavior. A nonlinear dynamic model of the soft robot is established based on the piecewise constant curvature method, the generalized coordinate, and Lagrange equations. Extensive experiments have been conducted to investigate the nonlinear dynamic performance of the soft spine, the bistable structure, and the soft robot. Dynamic tests have verified the effectiveness of the theoretical model in terms of the bending angle, velocity, and acceleration changes with time and the deformation morphology at limit states. Results show that the soft robot can switch between two stable states in 0.5 s and rapidly stabilize, enabling rapid movement.
期刊介绍:
The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving.
The scope of the journal includes:
• Innovative computational strategies and numerical algorithms for large-scale engineering problems
• Analysis and simulation techniques and systems
• Model and mesh generation
• Control of the accuracy, stability and efficiency of computational process
• Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing)
• Advanced visualization techniques, virtual environments and prototyping
• Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations
• Application of object-oriented technology to engineering problems
• Intelligent human computer interfaces
• Design automation, multidisciplinary design and optimization
• CAD, CAE and integrated process and product development systems
• Quality and reliability.