Zhongdong Jiao, Zhenhan Hu, Yuhao Shi, Kaichen Xu, Fangye Lin, Pingan Zhu, Wei Tang, Yiding Zhong, Huayong Yang, Jun Zou
{"title":"Reprogrammable, intelligent soft origami “Lego” coupling actuation, computation, and sensing","authors":"Zhongdong Jiao, Zhenhan Hu, Yuhao Shi, Kaichen Xu, Fangye Lin, Pingan Zhu, Wei Tang, Yiding Zhong, Huayong Yang, Jun Zou","doi":"10.1016/j.xinn.2023.100549","DOIUrl":null,"url":null,"abstract":"<p>Tightly integrating actuation, computation, and sensing in soft materials allows soft robots to respond autonomously to their environments. However, fusing these capabilities within a single soft module in an efficient, programmable, and compatible way is still a significant challenge. Herein, we introduce a strategy for integrating actuation, computation, and sensing capabilities in soft origami. Unified and plug-and-play soft origami modules can be reconfigured into diverse morphologies with specific functions or reprogrammed into a variety of soft logic circuits, similar to “Lego” bricks. We then built an untethered autonomous soft turtle that is able to sense stimuli, store data, process information, and perform swimming movements. The function multiplexing and signal compatibility of the origami minimize the number of soft devices, thereby reducing the complexity and redundancy of soft robots. Moreover, this origami also exhibits strong damage-resistance and high durability. We envision that this work will offer an effective way to readily create on-demand soft robots that can operate in unknown environments.</p>","PeriodicalId":36121,"journal":{"name":"The Innovation","volume":"430 18","pages":""},"PeriodicalIF":33.2000,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Innovation","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1016/j.xinn.2023.100549","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Tightly integrating actuation, computation, and sensing in soft materials allows soft robots to respond autonomously to their environments. However, fusing these capabilities within a single soft module in an efficient, programmable, and compatible way is still a significant challenge. Herein, we introduce a strategy for integrating actuation, computation, and sensing capabilities in soft origami. Unified and plug-and-play soft origami modules can be reconfigured into diverse morphologies with specific functions or reprogrammed into a variety of soft logic circuits, similar to “Lego” bricks. We then built an untethered autonomous soft turtle that is able to sense stimuli, store data, process information, and perform swimming movements. The function multiplexing and signal compatibility of the origami minimize the number of soft devices, thereby reducing the complexity and redundancy of soft robots. Moreover, this origami also exhibits strong damage-resistance and high durability. We envision that this work will offer an effective way to readily create on-demand soft robots that can operate in unknown environments.
期刊介绍:
The Innovation is an interdisciplinary journal that aims to promote scientific application. It publishes cutting-edge research and high-quality reviews in various scientific disciplines, including physics, chemistry, materials, nanotechnology, biology, translational medicine, geoscience, and engineering. The journal adheres to the peer review and publishing standards of Cell Press journals.
The Innovation is committed to serving scientists and the public. It aims to publish significant advances promptly and provides a transparent exchange platform. The journal also strives to efficiently promote the translation from scientific discovery to technological achievements and rapidly disseminate scientific findings worldwide.
Indexed in the following databases, The Innovation has visibility in Scopus, Directory of Open Access Journals (DOAJ), Web of Science, Emerging Sources Citation Index (ESCI), PubMed Central, Compendex (previously Ei index), INSPEC, and CABI A&I.