Toward Conductive Polymer-Based Soft Milli-Robots for Vacuum Applications.

conducting polymers electroactive polymers micromanipulation soft milli-robots vacuum environment

Journal

Frontiers in robotics and AI
ISSN: 2296-9144
Titre abrégé: Front Robot AI
Pays: Switzerland
ID NLM: 101749350

Informations de publication

Date de publication:
2019
Historique:
received: 18 07 2019
accepted: 04 11 2019
entrez: 27 1 2021
pubmed: 28 11 2019
medline: 28 11 2019
Statut: epublish

Résumé

For the last two decades, the development of conducting polymers (CP) as artificial muscles, by materials researchers and chemists, has made establishing a reliable and repeatable synthesis of such materials possible. CP-based milli-robots were mostly unknown in soft robotics, however, today, they play a vital role in robotics and smart materials forums. Indeed, this subclass of soft robots has reached a crucial moment in their history, a moment where they can display rather interesting features, based on established foundations in terms of modeling, control, sensing, and planning in various applications. The purpose of this paper is to present the potential of conductive polymer-based soft milli-robots as high-performance devices for vacuum applications. To that end, a trilayer polypyrrole-based actuator was first used inside a scanning electron microscope (SEM), characterized for different applied voltages, over a relatively long period. Additionally, the tip positioning of the cantilever was also controlled using a closed-loop control. Furthermore, as a proof of concept for more complex soft milli-robots, an S-shaped soft milli-robot was modeled, using a hybrid model comprised of two models; a multi-physics model and a kinematic model. It was then fabricated using laser machining and finally characterized using its tip displacement. polypyrrole-based soft milli-robots proved to have tremendous potential as high-performance soft robots at the microscale for a wide range of applications, including SEM micro-manipulation as well as biomedical applications.

Identifiants

pubmed: 33501137
doi: 10.3389/frobt.2019.00122
pmc: PMC7805686
doi:

Types de publication

Journal Article

Langues

eng

Pagination

122

Informations de copyright

Copyright © 2019 Benouhiba, Rougeot, Ouisse, Clévy, Andreff and Rabenorosoa.

Références

Ann Biomed Eng. 2014 Apr;42(4):697-715
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Sci Rep. 2015 Jun 11;5:10768
pubmed: 26066664
Ann Biomed Eng. 2018 Oct;46(10):1511-1521
pubmed: 29713830
Sci Robot. 2017 Jul 19;2(8):
pubmed: 33157883

Auteurs

Amine Benouhiba (A)

FEMTO-ST Institute, Université Bourgogne Franche-Comté, National Center for Scientific Research, Besançon, France.

Patrick Rougeot (P)

FEMTO-ST Institute, Université Bourgogne Franche-Comté, National Center for Scientific Research, Besançon, France.

Morvan Ouisse (M)

FEMTO-ST Institute, Université Bourgogne Franche-Comté, National Center for Scientific Research, Besançon, France.

Cédric Clévy (C)

FEMTO-ST Institute, Université Bourgogne Franche-Comté, National Center for Scientific Research, Besançon, France.

Nicolas Andreff (N)

FEMTO-ST Institute, Université Bourgogne Franche-Comté, National Center for Scientific Research, Besançon, France.

Kanty Rabenorosoa (K)

FEMTO-ST Institute, Université Bourgogne Franche-Comté, National Center for Scientific Research, Besançon, France.

Classifications MeSH