Selaginella lepidophylla-Inspired Multi-Stimulus Cooperative Control MXene-Based Flexible Actuator.

IF 6.4 2区 计算机科学 Q1 ROBOTICS Soft Robotics Pub Date : 2023-10-01 Epub Date: 2023-06-19 DOI:10.1089/soro.2022.0140
Xiang Li, Ze Wu, Bingjue Li, Youqiang Xing, Peng Huang, Lei Liu
{"title":"<i>Selaginella lepidophylla</i>-Inspired Multi-Stimulus Cooperative Control MXene-Based Flexible Actuator.","authors":"Xiang Li,&nbsp;Ze Wu,&nbsp;Bingjue Li,&nbsp;Youqiang Xing,&nbsp;Peng Huang,&nbsp;Lei Liu","doi":"10.1089/soro.2022.0140","DOIUrl":null,"url":null,"abstract":"<p><p>Predictable bending deformation, high cycle stability, and multimode complex motion have always been the goals pursued in the field of flexible robots. In this study, inspired by the delicate structure and humidity response characteristics of <i>Selaginella lepidophylla</i>, a new multilevel assisted assembly strategy was developed to construct MXene-CoFe<sub>2</sub>O<sub>4</sub> (MXCFO) flexible actuators with different concentration gradients, to achieve predictable bending deformation and multi-stimulus cooperative control of the actuators, revealing the intrinsic link between the gradient change and the bending deformation ability of the actuator. The thickness of the actuator shows uniformity compared with the common layer-by-layer assembly strategy. And, the bionic gradient structured actuator shows high cycle stability, and it maintains excellent interlayer bonding after bending 100 times. The flexible robots designed based on the predictable bending deformation and the multi-stimulus cooperative response characteristics of the actuator initially realize conceptual models of humidity monitoring, climbing, grasping, cargo transportation, and drug delivery. The designed bionic gradient structure and unbound multi-stimulus cooperative control strategy may show great potential in the design and development of robots in the future.</p>","PeriodicalId":48685,"journal":{"name":"Soft Robotics","volume":null,"pages":null},"PeriodicalIF":6.4000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soft Robotics","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1089/soro.2022.0140","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/6/19 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0

Abstract

Predictable bending deformation, high cycle stability, and multimode complex motion have always been the goals pursued in the field of flexible robots. In this study, inspired by the delicate structure and humidity response characteristics of Selaginella lepidophylla, a new multilevel assisted assembly strategy was developed to construct MXene-CoFe2O4 (MXCFO) flexible actuators with different concentration gradients, to achieve predictable bending deformation and multi-stimulus cooperative control of the actuators, revealing the intrinsic link between the gradient change and the bending deformation ability of the actuator. The thickness of the actuator shows uniformity compared with the common layer-by-layer assembly strategy. And, the bionic gradient structured actuator shows high cycle stability, and it maintains excellent interlayer bonding after bending 100 times. The flexible robots designed based on the predictable bending deformation and the multi-stimulus cooperative response characteristics of the actuator initially realize conceptual models of humidity monitoring, climbing, grasping, cargo transportation, and drug delivery. The designed bionic gradient structure and unbound multi-stimulus cooperative control strategy may show great potential in the design and development of robots in the future.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
受卷柏启发的基于MXene的多刺激协同控制柔性执行器。
可预测的弯曲变形、高循环稳定性和多模复杂运动一直是柔性机器人领域追求的目标。在本研究中,受卷柏精细结构和湿度响应特性的启发,开发了一种新的多级辅助组装策略来构建具有不同浓度梯度的MXene-CoFe2O4(MXCFO)柔性致动器,以实现可预测的弯曲变形和致动器的多刺激协同控制,揭示了梯度变化与致动器的弯曲变形能力之间的内在联系。与常见的逐层组装策略相比,致动器的厚度显示出均匀性。并且,仿生梯度结构致动器显示出高的循环稳定性,并且在弯曲100次后保持良好的层间结合。基于可预测的弯曲变形和致动器的多刺激协同响应特性设计的柔性机器人初步实现了湿度监测、攀爬、抓取、货物运输和药物输送的概念模型。所设计的仿生梯度结构和无约束多刺激协同控制策略可能在未来机器人的设计和开发中显示出巨大的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Soft Robotics
Soft Robotics ROBOTICS-
CiteScore
15.50
自引率
5.10%
发文量
128
期刊介绍: Soft Robotics (SoRo) stands as a premier robotics journal, showcasing top-tier, peer-reviewed research on the forefront of soft and deformable robotics. Encompassing flexible electronics, materials science, computer science, and biomechanics, it pioneers breakthroughs in robotic technology capable of safe interaction with living systems and navigating complex environments, natural or human-made. With a multidisciplinary approach, SoRo integrates advancements in biomedical engineering, biomechanics, mathematical modeling, biopolymer chemistry, computer science, and tissue engineering, offering comprehensive insights into constructing adaptable devices that can undergo significant changes in shape and size. This transformative technology finds critical applications in surgery, assistive healthcare devices, emergency search and rescue, space instrument repair, mine detection, and beyond.
期刊最新文献
Soft-Rigid Hybrid Revolute and Prismatic Joints Using Multilayered Bellow-Type Soft Pneumatic Actuators: Design, Characterization, and Its Application as Soft-Rigid Hybrid Gripper. Soft Electromagnetic Sliding Actuators for Highly Compliant Planar Motions Using Microfluidic Conductive Coil Array. Model-Based Design of Variable Stiffness Soft Gripper Actuated by Smart Hydrogels. Artificial Fingertip with Embedded Fiber-Shaped Sensing Arrays for High Resolution Tactile Sensing. A Fast Online Elastic-Spine-Based Stiffness Adjusting Mechanism for Fishlike Swimming.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1