Theoretical investigations on the behavior of artificial sensors for surface texture detection

Moritz Scharff, Maximilian Darnieder, Joachim Steigenberger, Jorge H. Alencastre, Carsten Behn

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Animal vibrissae are used as natural inspiration for artificial tactile sensors, e.g., the mystacial vibrissae enable rodents to perform several tasks in using these tactile hairs: object shape determination and surface texture discrimination. Referring to the literature, the Kinetic Signature Hypothesis states that the surface texture detection is a highly dynamic process. It is assumed that the animals gather information about the surface texture out of a spatial, temporal pattern of kinetic events. This process has to be analyzed in detail to develop an artificial tactile sensor with similar functionalities. Hence, we set up a mechanical model for theoretical investigations of the process. This model is analyzed in two different directions using numerical simulations: at first a quasi-static and then a fully dynamic description.

Original languageEnglish
Title of host publicationDynamical Systems in Theoretical Perspective - Łódź, 2017
EditorsJan Awrejcewicz
PublisherSpringer New York LLC
Pages311-321
Number of pages11
ISBN (Print)9783319965970
DOIs
StatePublished - 2018
Event14th International Conference on Dynamical Systems: Theory and Applications, DSTA 2017 - Lodz, Poland
Duration: 11 Dec 201714 Dec 2017

Publication series

NameSpringer Proceedings in Mathematics and Statistics
Volume248
ISSN (Print)2194-1009
ISSN (Electronic)2194-1017

Conference

Conference14th International Conference on Dynamical Systems: Theory and Applications, DSTA 2017
Country/TerritoryPoland
CityLodz
Period11/12/1714/12/17

Keywords

  • Dynamical model
  • Friction
  • Surface texture
  • Tactile sensing
  • Vibrissa

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