Please use this identifier to cite or link to this item:
http://doi.org/10.25358/openscience-10102
Authors: | Fusi, Giorgio Del Giudice, Daniele Skarsetz, Oliver Di Stefano, Stefano Walther, Andreas |
Title: | Autonomous soft robots empowered by chemical reaction networks |
Online publication date: | 19-Feb-2024 |
Year of first publication: | 2022 |
Language: | english |
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: | 540 Chemie 540 Chemistry and allied sciences |
Institution: | Johannes Gutenberg-Universität Mainz |
Department: | FB 09 Chemie, Pharmazie u. Geowissensch. |
Place: | Mainz |
ROR: | https://ror.org/023b0x485 |
DOI: | http://doi.org/10.25358/openscience-10102 |
Version: | Published version |
Publication type: | Zeitschriftenaufsatz |
Document type specification: | Scientific article |
License: | CC BY-NC |
Information on rights of use: | https://creativecommons.org/licenses/by-nc/4.0/ |
Journal: | Advanced materials 35 7 |
Pages or article number: | 202209870 |
Publisher: | Wiley |
Publisher place: | Weinheim |
Issue date: | 2022 |
ISSN: | 1521-4095 |
Publisher DOI: | 10.1002/adma.202209870 |
Appears in collections: | DFG-491381577-H |
Files in This Item:
File | Description | Size | Format | ||
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autonomous_soft_robots_empowe-20240219154403809.pdf | 2.03 MB | Adobe PDF | View/Open |