A Vibrissa-Inspired Highly Flexible Tactile Sensor: Scanning 3D Object Surfaces Providing Tactile Images.

bio-inspired sensor object reconstruction surface scanning vibrissa

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
24 Feb 2021
Historique:
received: 15 01 2021
revised: 09 02 2021
accepted: 18 02 2021
entrez: 6 3 2021
pubmed: 7 3 2021
medline: 16 3 2021
Statut: epublish

Résumé

Just as the sense of touch complements vision in various species, several robots could benefit from advanced tactile sensors, in particular when operating under poor visibility. A prominent tactile sense organ, frequently serving as a natural paragon for developing tactile sensors, is the vibrissae of, e.g., rats. Within this study, we present a vibrissa-inspired sensor concept for 3D object scanning and reconstruction to be exemplarily used in mobile robots. The setup consists of a highly flexible rod attached to a 3D force-torque transducer (measuring device). The scanning process is realized by translationally shifting the base of the rod relative to the object. Consequently, the rod sweeps over the object's surface, undergoing large bending deflections. Then, the support reactions at the base of the rod are evaluated for contact localization. Presenting a method of theoretically generating these support reactions, we provide an important basis for future parameter studies. During scanning, lateral slip of the rod is not actively prevented, in contrast to literature. In this way, we demonstrate the suitability of the sensor for passively dragging it on a mobile robot. Experimental scanning sweeps using an artificial vibrissa (steel wire) of length 50 mm and a glass sphere as a test object with a diameter of 60 mm verify the theoretical results and serve as a proof of concept.

Identifiants

pubmed: 33668168
pii: s21051572
doi: 10.3390/s21051572
pmc: PMC7956238
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Curr Biol. 2020 Mar 9;30(5):815-826.e5
pubmed: 32004452
Behav Brain Res. 1989 Jan 1;31(3):285-9
pubmed: 2914080
J Neurophysiol. 2017 Apr 1;117(4):1807-1820
pubmed: 27881718
Philos Trans R Soc Lond B Biol Sci. 2011 Nov 12;366(1581):3049-57
pubmed: 21969686
Sensors (Basel). 2020 Apr 07;20(7):
pubmed: 32272766
J Neurophysiol. 2007 Oct;98(4):2439-55
pubmed: 17553946
J Neurosci. 1990 Aug;10(8):2638-48
pubmed: 2388081
Behav Brain Res. 1997 Mar;84(1-2):81-97
pubmed: 9079775
J Neurophysiol. 2005 Apr;93(4):2294-301
pubmed: 15563552
Phys Rev E Stat Nonlin Soft Matter Phys. 2007 Nov;76(5 Pt 2):056316
pubmed: 18233765

Auteurs

Lukas Merker (L)

Technical Mechanics Group, Technische Universität Ilmenau, 98693 Ilmenau, Germany.

Joachim Steigenberger (J)

Institute of Mathematics, Technische Universität Ilmenau, 98693 Ilmenau, Germany.

Rafael Marangoni (R)

Institute for Process Measurement and Sensor Technology, Technische Universität Ilmenau, 98693 Ilmenau, Germany.

Carsten Behn (C)

Faculty of Mechanical Engineering, Schmalkalden University of Applied Sciences, 98574 Schmalkalden, Germany.

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Classifications MeSH