Title
Theoretical investigations on the behavior of artificial sensors for surface texture detection
Date Issued
01 January 2018
Access level
metadata only access
Resource Type
conference paper
Author(s)
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.
Start page
311
End page
321
Volume
248
Language
English
OCDE Knowledge area
Matemáticas
Scopus EID
2-s2.0-85053596339
ISBN
9783319965970
Source
Springer Proceedings in Mathematics and Statistics
Resource of which it is part
Springer Proceedings in Mathematics and Statistics
ISSN of the container
21941009
Conference
14th International Conference on Dynamical Systems: Theory and Applications, DSTA 2017
Sponsor(s)
This work was done in cooperation of the Technische Universität Ilmenau, Germany and the Pontificial Catholic University of Peru. Special thanks goes to Dr. Erik Gerlach from Technische Universität Ilmenau for his support and discussions.
Sources of information: Directorio de Producción Científica Scopus