Morphological Computation in Plant Seeds for a New Generation of Self-Burial and Flying Soft Robots

Plants have evolved different mechanisms to disperse from parent plants and improve germination to sustain their survival. The study of seed dispersal mechanisms, with the related structural and functional characteristics, is an active research topic for ecology, plant diversity, climate change, as...

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Autores principales:	Barbara Mazzolai, Stefano Mariani, Marilena Ronzan, Luca Cecchini, Isabella Fiorello, Kliton Cikalleshi, Laura Margheri
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	bioinspired robotics soft robotics embodied intelligence plant biology smart materials plant biomechanics Mechanical engineering and machinery TJ1-1570 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/1821566becb148d5871dcc28617c5aa6
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spelling	oai:doaj.org-article:1821566becb148d5871dcc28617c5aa62021-12-01T07:24:12ZMorphological Computation in Plant Seeds for a New Generation of Self-Burial and Flying Soft Robots2296-914410.3389/frobt.2021.797556https://doaj.org/article/1821566becb148d5871dcc28617c5aa62021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/frobt.2021.797556/fullhttps://doaj.org/toc/2296-9144Plants have evolved different mechanisms to disperse from parent plants and improve germination to sustain their survival. The study of seed dispersal mechanisms, with the related structural and functional characteristics, is an active research topic for ecology, plant diversity, climate change, as well as for its relevance for material science and engineering. The natural mechanisms of seed dispersal show a rich source of robust, highly adaptive, mass and energy efficient mechanisms for optimized passive flying, landing, crawling and drilling. The secret of seeds mobility is embodied in the structural features and anatomical characteristics of their tissues, which are designed to be selectively responsive to changes in the environmental conditions, and which make seeds one of the most fascinating examples of morphological computation in Nature. Particularly clever for their spatial mobility performance, are those seeds that use their morphology and structural characteristics to be carried by the wind and dispersed over great distances (i.e. “winged” and “parachute” seeds), and seeds able to move and penetrate in soil with a self-burial mechanism driven by their hygromorphic properties and morphological features. By looking at their motion mechanisms, new design principles can be extracted and used as inspiration for smart artificial systems endowed with embodied intelligence. This mini-review systematically collects, for the first time together, the morphological, structural, biomechanical and aerodynamic information from selected plant seeds relevant to take inspiration for engineering design of soft robots, and discusses potential future developments in the field across material science, plant biology, robotics and embodied intelligence.Barbara MazzolaiStefano MarianiMarilena RonzanLuca CecchiniIsabella FiorelloKliton CikalleshiLaura MargheriFrontiers Media S.A.articlebioinspired roboticssoft roboticsembodied intelligenceplant biologysmart materialsplant biomechanicsMechanical engineering and machineryTJ1-1570Electronic computers. Computer scienceQA75.5-76.95ENFrontiers in Robotics and AI, Vol 8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	bioinspired robotics soft robotics embodied intelligence plant biology smart materials plant biomechanics Mechanical engineering and machinery TJ1-1570 Electronic computers. Computer science QA75.5-76.95
spellingShingle	bioinspired robotics soft robotics embodied intelligence plant biology smart materials plant biomechanics Mechanical engineering and machinery TJ1-1570 Electronic computers. Computer science QA75.5-76.95 Barbara Mazzolai Stefano Mariani Marilena Ronzan Luca Cecchini Isabella Fiorello Kliton Cikalleshi Laura Margheri Morphological Computation in Plant Seeds for a New Generation of Self-Burial and Flying Soft Robots
description	Plants have evolved different mechanisms to disperse from parent plants and improve germination to sustain their survival. The study of seed dispersal mechanisms, with the related structural and functional characteristics, is an active research topic for ecology, plant diversity, climate change, as well as for its relevance for material science and engineering. The natural mechanisms of seed dispersal show a rich source of robust, highly adaptive, mass and energy efficient mechanisms for optimized passive flying, landing, crawling and drilling. The secret of seeds mobility is embodied in the structural features and anatomical characteristics of their tissues, which are designed to be selectively responsive to changes in the environmental conditions, and which make seeds one of the most fascinating examples of morphological computation in Nature. Particularly clever for their spatial mobility performance, are those seeds that use their morphology and structural characteristics to be carried by the wind and dispersed over great distances (i.e. “winged” and “parachute” seeds), and seeds able to move and penetrate in soil with a self-burial mechanism driven by their hygromorphic properties and morphological features. By looking at their motion mechanisms, new design principles can be extracted and used as inspiration for smart artificial systems endowed with embodied intelligence. This mini-review systematically collects, for the first time together, the morphological, structural, biomechanical and aerodynamic information from selected plant seeds relevant to take inspiration for engineering design of soft robots, and discusses potential future developments in the field across material science, plant biology, robotics and embodied intelligence.
format	article
author	Barbara Mazzolai Stefano Mariani Marilena Ronzan Luca Cecchini Isabella Fiorello Kliton Cikalleshi Laura Margheri
author_facet	Barbara Mazzolai Stefano Mariani Marilena Ronzan Luca Cecchini Isabella Fiorello Kliton Cikalleshi Laura Margheri
author_sort	Barbara Mazzolai
title	Morphological Computation in Plant Seeds for a New Generation of Self-Burial and Flying Soft Robots
title_short	Morphological Computation in Plant Seeds for a New Generation of Self-Burial and Flying Soft Robots
title_full	Morphological Computation in Plant Seeds for a New Generation of Self-Burial and Flying Soft Robots
title_fullStr	Morphological Computation in Plant Seeds for a New Generation of Self-Burial and Flying Soft Robots
title_full_unstemmed	Morphological Computation in Plant Seeds for a New Generation of Self-Burial and Flying Soft Robots
title_sort	morphological computation in plant seeds for a new generation of self-burial and flying soft robots
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/1821566becb148d5871dcc28617c5aa6
work_keys_str_mv	AT barbaramazzolai morphologicalcomputationinplantseedsforanewgenerationofselfburialandflyingsoftrobots AT stefanomariani morphologicalcomputationinplantseedsforanewgenerationofselfburialandflyingsoftrobots AT marilenaronzan morphologicalcomputationinplantseedsforanewgenerationofselfburialandflyingsoftrobots AT lucacecchini morphologicalcomputationinplantseedsforanewgenerationofselfburialandflyingsoftrobots AT isabellafiorello morphologicalcomputationinplantseedsforanewgenerationofselfburialandflyingsoftrobots AT klitoncikalleshi morphologicalcomputationinplantseedsforanewgenerationofselfburialandflyingsoftrobots AT lauramargheri morphologicalcomputationinplantseedsforanewgenerationofselfburialandflyingsoftrobots
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Morphological Computation in Plant Seeds for a New Generation of Self-Burial and Flying Soft Robots

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