Because plants are considered immobile, they remain underrepresented as concept generators for soft robots and soft machines. However, plants show a great variety of movements exclusively based on elastic deformation of regions within their moving organs. The absence of gliding parts, as found in the joints of vertebrates and insects, prevents stress concentration and attrition. Since plants have no central control unit (brain), stimulus-sensing, decision-making and reaction usually take place noncentrally in the hierarchically structured materials systems of the moving organs, in what can be regarded as an example of physical intelligence. These characteristics make plants interesting models for a new group of soft robots and soft machines that differ fundamentally from those inspired by animals. The potential of such plant-inspired soft robots and machines is shown in six examples and is illustrated by examples applied in architecture and medicine.
%0 Journal Article
%1 Speck2023
%A Speck, Thomas
%A Cheng, Tiffany
%A Klimm, Frederike
%A Menges, Achim
%A Poppinga, Simon
%A Speck, Olga
%A Tahouni, Yasaman
%A Tauber, Falk
%A Thielen, Marc
%D 2023
%J MRS Bulletin
%K mprg myown peer
%R 10.1557/s43577-022-00470-8
%T Plants as inspiration for material-based sensing and actuation in soft robots and machines
%U https://doi.org/10.1557/s43577-022-00470-8
%X Because plants are considered immobile, they remain underrepresented as concept generators for soft robots and soft machines. However, plants show a great variety of movements exclusively based on elastic deformation of regions within their moving organs. The absence of gliding parts, as found in the joints of vertebrates and insects, prevents stress concentration and attrition. Since plants have no central control unit (brain), stimulus-sensing, decision-making and reaction usually take place noncentrally in the hierarchically structured materials systems of the moving organs, in what can be regarded as an example of physical intelligence. These characteristics make plants interesting models for a new group of soft robots and soft machines that differ fundamentally from those inspired by animals. The potential of such plant-inspired soft robots and machines is shown in six examples and is illustrated by examples applied in architecture and medicine.
@article{Speck2023,
abstract = {Because plants are considered immobile, they remain underrepresented as concept generators for soft robots and soft machines. However, plants show a great variety of movements exclusively based on elastic deformation of regions within their moving organs. The absence of gliding parts, as found in the joints of vertebrates and insects, prevents stress concentration and attrition. Since plants have no central control unit (brain), stimulus-sensing, decision-making and reaction usually take place noncentrally in the hierarchically structured materials systems of the moving organs, in what can be regarded as an example of physical intelligence. These characteristics make plants interesting models for a new group of soft robots and soft machines that differ fundamentally from those inspired by animals. The potential of such plant-inspired soft robots and machines is shown in six examples and is illustrated by examples applied in architecture and medicine.},
added-at = {2023-02-06T11:53:58.000+0100},
author = {Speck, Thomas and Cheng, Tiffany and Klimm, Frederike and Menges, Achim and Poppinga, Simon and Speck, Olga and Tahouni, Yasaman and Tauber, Falk and Thielen, Marc},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2f23672c476d554a5a465faed9e122be2/tiffanycheng},
day = 02,
doi = {10.1557/s43577-022-00470-8},
interhash = {282be75005c9eab3b9dda176d9940b2a},
intrahash = {f23672c476d554a5a465faed9e122be2},
issn = {1938-1425},
journal = {MRS Bulletin},
keywords = {mprg myown peer},
month = feb,
timestamp = {2023-02-06T11:07:26.000+0100},
title = {Plants as inspiration for material-based sensing and actuation in soft robots and machines},
url = {https://doi.org/10.1557/s43577-022-00470-8},
year = 2023
}
