TY - GEN
T1 - Flow Detection using an Artificial Vibrissa-Like Sensor - Simulations and Experiments
AU - Scharff, Moritz
AU - Rivera Campos, Richard A.
AU - Merker, Lukas
AU - Alencastre, Jorge H.
AU - Behn, Carsten
AU - Zimmermann, Klaus
N1 - Publisher Copyright:
© 2018 Brno University of Technology.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Several animal species like rats or seals explore the surrounding environment with their sensory hairs, the so-called vibrissae. Regarding to natural vibrissa, the functionalities of tactile object sensing to receive information about, e.g., the shape and/or the surface texture are often discussed. But, the usage of natural vibrissae to detect flows is reported as well. The necessary information about the flow are coded in the signals recorded at the base of the vibrissa. Due to the natural paragon, we adapt this behavior in order to show up how the information about flows can be extracted from these observables. This is an important procedure because the detection and determination of information about flow effects become interesting for several reasons. For example, in the case of other sensing tasks and strategies like object contour scanning, flows are considered as (possible) disturbances that have to be known to reconstruct any sensed boundary. Otherwise, the flow itself can be of interest. In a first step, simulations are performed to examine the relations between the observables at the base of the sensor and the applied velocity of a flow. Here, a steady-state uniform flow is assumed. The simulations are validated by experiments.
AB - Several animal species like rats or seals explore the surrounding environment with their sensory hairs, the so-called vibrissae. Regarding to natural vibrissa, the functionalities of tactile object sensing to receive information about, e.g., the shape and/or the surface texture are often discussed. But, the usage of natural vibrissae to detect flows is reported as well. The necessary information about the flow are coded in the signals recorded at the base of the vibrissa. Due to the natural paragon, we adapt this behavior in order to show up how the information about flows can be extracted from these observables. This is an important procedure because the detection and determination of information about flow effects become interesting for several reasons. For example, in the case of other sensing tasks and strategies like object contour scanning, flows are considered as (possible) disturbances that have to be known to reconstruct any sensed boundary. Otherwise, the flow itself can be of interest. In a first step, simulations are performed to examine the relations between the observables at the base of the sensor and the applied velocity of a flow. Here, a steady-state uniform flow is assumed. The simulations are validated by experiments.
KW - Flow detection
KW - beam-like model.
KW - bio-inspired system
KW - natural vibrissa
KW - tactile sensor
UR - http://www.scopus.com/inward/record.url?scp=85062717294&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85062717294
T3 - Proceedings of the 2018 18th International Conference on Mechatronics - Mechatronika, ME 2018
BT - Proceedings of the 2018 18th International Conference on Mechatronics - Mechatronika, ME 2018
A2 - Maga, Dusan
A2 - Stefek, Alexandr
A2 - Brezina, Tomas
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th International Conference on Mechatronics - Mechatronika, ME 2018
Y2 - 5 December 2018 through 7 December 2018
ER -