Literature DB >> 33500903

Toward Growing Robots: A Historical Evolution from Cellular to Plant-Inspired Robotics.

Emanuela Del Dottore1, Ali Sadeghi1, Alessio Mondini1, Virgilio Mattoli1, Barbara Mazzolai1.   

Abstract

This paper provides the very first definition of "growing robots": a category of robots that imitates biological growth by the incremental addition of material. Although this nomenclature is quite new, the concept of morphological evolution, which is behind growth, has been extensively addressed in engineering and robotics. In fact, the idea of reproducing processes that belong to living systems has always attracted scientists and engineers. The creation of systems that adapt reliably and effectively to the environment with their morphology and control would be beneficial for many different applications, including terrestrial and space exploration or the monitoring of disasters or dangerous environments. Different approaches have been proposed over the years for solving the morphological adaptation of artificial systems, e.g., self-assembly, self-reconfigurability, evolution of virtual creatures, plant inspiration. This work reviews the main milestones in relation to growing robots, starting from the original concept of a self-replicating automaton to the achievements obtained by plant inspiration, which provided an alternative solution to the challenges of creating robots with self-building capabilities. A selection of robots representative of growth functioning is also discussed, grouped by the natural element used as model: molecule, cell, or organism growth-inspired robots. Finally, the historical evolution of growing robots is outlined together with a discussion of the future challenges toward solutions that more faithfully can represent biological growth.
Copyright © 2018 Del Dottore, Sadeghi, Mondini, Mattoli and Mazzolai.

Entities:  

Keywords:  growth; plant inspiration; robots; self-assembly; self-building robot

Year:  2018        PMID: 33500903      PMCID: PMC7805952          DOI: 10.3389/frobt.2018.00016

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  33 in total

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Journal:  Science       Date:  2010-05-20       Impact factor: 47.728

5.  Evolving Transport Networks With Cellular Automata Models Inspired by Slime Mould.

Authors:  Michail-Antisthenis I Tsompanas; Georgios Ch Sirakoulis; Andrew I Adamatzky
Journal:  IEEE Trans Cybern       Date:  2014-11-25       Impact factor: 11.448

6.  Slime mould processors, logic gates and sensors.

Authors:  A Adamatzky
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2015-07-28       Impact factor: 4.226

7.  Mechanics and energetics in tool manufacture and use: a synthetic approach.

Authors:  Liyu Wang; Luzius Brodbeck; Fumiya Iida
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8.  Morphology-induced collective behaviors: dynamic pattern formation in water-floating elements.

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Review 9.  Plants as model in biomimetics and biorobotics: new perspectives.

Authors:  Barbara Mazzolai; Lucia Beccai; Virgilio Mattoli
Journal:  Front Bioeng Biotechnol       Date:  2014-01-30

10.  A novel growing device inspired by plant root soil penetration behaviors.

Authors:  Ali Sadeghi; Alice Tonazzini; Liyana Popova; Barbara Mazzolai
Journal:  PLoS One       Date:  2014-02-25       Impact factor: 3.240

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  1 in total

1.  Enacting Plant-Inspired Robotics.

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Journal:  Front Neurorobot       Date:  2022-01-31       Impact factor: 2.650

  1 in total

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