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http://doi.org/10.25358/openscience-10102
Autoren: | Fusi, Giorgio Del Giudice, Daniele Skarsetz, Oliver Di Stefano, Stefano Walther, Andreas |
Titel: | Autonomous soft robots empowered by chemical reaction networks |
Online-Publikationsdatum: | 19-Feb-2024 |
Erscheinungsdatum: | 2022 |
Sprache des Dokuments: | Englisch |
Zusammenfassung/Abstract: | Hydrogel actuators are important for designing stimuli-sensitive soft robots. They generate mechanical motion by exploiting compartmentalized (de)swelling in response to a stimulus. However, classical switching methods, such as manually lowering or increasing the pH, cannot provide more complex autonomous motions. By coupling an autonomously operating pH-flip with programmable lifetimes to a hydrogel system containing pH-responsive and non-responsive compartments, autoonenomous forward and backward motion as well as more complex tasks, such as interlocking of “puzzle pieces” and collection of objects are realized. All operations are initiated by one simple trigger, and the devices operate in a “fire and forget” mode. More complex self-regulatory behavior is obtained by adding chemo-mechano-chemo feedback mechanisms. Due to its simplicity, this method shows great potential for the autonomous operation of soft grippers and metamaterials. |
DDC-Sachgruppe: | 540 Chemie 540 Chemistry and allied sciences |
Veröffentlichende Institution: | Johannes Gutenberg-Universität Mainz |
Organisationseinheit: | FB 09 Chemie, Pharmazie u. Geowissensch. |
Veröffentlichungsort: | Mainz |
ROR: | https://ror.org/023b0x485 |
DOI: | http://doi.org/10.25358/openscience-10102 |
Version: | Published version |
Publikationstyp: | Zeitschriftenaufsatz |
Weitere Angaben zur Dokumentart: | Scientific article |
Nutzungsrechte: | CC BY-NC |
Informationen zu den Nutzungsrechten: | https://creativecommons.org/licenses/by-nc/4.0/ |
Zeitschrift: | Advanced materials 35 7 |
Seitenzahl oder Artikelnummer: | 202209870 |
Verlag: | Wiley |
Verlagsort: | Weinheim |
Erscheinungsdatum: | 2022 |
ISSN: | 1521-4095 |
DOI der Originalveröffentlichung: | 10.1002/adma.202209870 |
Enthalten in den Sammlungen: | DFG-491381577-H |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | ||
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autonomous_soft_robots_empowe-20240219154403809.pdf | 2.03 MB | Adobe PDF | Öffnen/Anzeigen |