scholarly journals Bio-inspired Flexible Lateral Line Sensor Based on P(VDF-TrFE)/BTO Nanofiber Mat for Hydrodynamic Perception

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5384 ◽  
Author(s):  
Xiaohe Hu ◽  
Yonggang Jiang ◽  
Zhiqiang Ma ◽  
Yuanhang Xu ◽  
Deyuan Zhang
Keyword(s):  
Lateral Line ◽  
Vinylidene Fluoride ◽  
Flow Analysis ◽  
Dipole Source ◽  
Lateral Line System ◽  
Underwater Robotics ◽  
Line System ◽  
Time Flow ◽  
Poly Vinylidene Fluoride ◽  
Hydrodynamic Perception

Fish and some amphibians can perform a variety of behaviors in confined and harsh environments by employing an extraordinary mechanosensory organ, the lateral line system (LLS). Inspired by the form-function of the LLS, a hydrodynamic artificial velocity sensor (HAVS) was presented in this paper. The sensors featured a polarized poly (vinylidene fluoride-trifluoroethylene) [P(VDF-TrFE)]/barium titanate (BTO) electrospinning nanofiber mat as the sensing layer, a polyimide (PI) film with arrays of circular cavities as the substrate, and a poly(methyl methacrylate) (PMMA) pillar as the cilium. The P(VDF-TrFE)/BTO electrospinning nanofiber mat demonstrated enhanced crystallinity and piezoelectricity compared with the pure P(VDF-TrFE) nanofiber mat. A dipole source was employed to characterize the sensing performance of the fabricated HAVS. The HAVS achieved a velocity detection limit of 0.23 mm/s, superior to the conventional nanofiber mat-based flow sensor. In addition, directivity was feasible for the HAVS, which was in accordance with the simulation results. The proposed bio-inspired flexible lateral line sensor with hydrodynamic perception ability shows promising applications in underwater robotics for real-time flow analysis.

Dipole-source localization using biomimetic flow-sensor arrays positioned as lateral-line system

2010 ◽  
Vol 162 (2) ◽  
pp. 355-360 ◽  
Author(s):  
A.M.K. Dagamseh ◽  
T.S.J. Lammerink ◽  
M.L. Kolster ◽  
C.M. Bruinink ◽  
R.J. Wiegerink ◽  
...  
Keyword(s):  
Source Localization ◽  
Lateral Line ◽  
Sensor Arrays ◽  
Flow Sensor ◽  
Dipole Source ◽  
Lateral Line System ◽  
Line System ◽  
Dipole Source Localization

scholarly journals Imaging dipole flow sources using an artificial lateral-line system made of biomimetic hair flow sensors

2013 ◽  
Vol 10 (83) ◽  
pp. 20130162 ◽  
Author(s):  
Ahmad Dagamseh ◽  
Remco Wiegerink ◽  
Theo Lammerink ◽  
Gijs Krijnen
Keyword(s):  
Lateral Line ◽  
Estimation Error ◽  
Near Field ◽  
Dipole Source ◽  
Lateral Line System ◽  
Flow Sensors ◽  
Line System ◽  
Field Environment ◽  
Measurement Results ◽  
Dipole Sources

In Nature, fish have the ability to localize prey, school, navigate, etc., using the lateral-line organ. Artificial hair flow sensors arranged in a linear array shape (inspired by the lateral-line system (LSS) in fish) have been applied to measure airflow patterns at the sensor positions. Here, we take advantage of both biomimetic artificial hair-based flow sensors arranged as LSS and beamforming techniques to demonstrate dipole-source localization in air. Modelling and measurement results show the artificial lateral-line ability to image the position of dipole sources accurately with estimation error of less than 0.14 times the array length. This opens up possibilities for flow-based, near-field environment mapping that can be beneficial to, for example, biologists and robot guidance applications.

scholarly journals Robust Flow Field Signal Estimation Method for Flow Sensing by Underwater Robotics

2021 ◽  
Vol 11 (16) ◽  
pp. 7759
Author(s):  
Xinghua Lin ◽  
Qing Qin ◽  
Xiaoming Wang ◽  
Junxia Zhang
Keyword(s):  
Flow Field ◽  
Lateral Line ◽  
Volterra Series ◽  
Estimation Method ◽  
Lateral Line System ◽  
Signal Estimation ◽  
Underwater Robotics ◽  
Line System ◽  
Flow Sensing ◽  
Predicting Performance

The flow field is difficult to evaluate, and underwater robotics can only partly adapt to the submarine environment. However, fish can sense the complex underwater environment by their lateral line system. In order to reveal the fish flow sensing mechanism, a robust nonlinear signal estimation method based on the Volterra series model with the Kautz kernel function is provided, which is named KKF-VSM. The flow field signal around a square target is used as the original signal. The sinusoidal noise and the signal around a triangular obstacle are considered undesired signals, and the predicting performance of KKF-VSM is analyzed after introducing them locally in the original signals. Compared to the radial basis function neural network model (RBF-NNM), the advantages of KKF-VSM are not only its robustness but also its higher sensitivity to weak signals and its predicting accuracy. It is confirmed that even for strong nonlinear signals, such as pressure responses in the flow field, KKF-VSM is more efficient than the commonly used RBF-NNM. It can provide a reference for the application of the artificial lateral line system on underwater robotics, improving its adaptability in complex environments based on flow field information.

Reliable underwater dipole source characterization in 3D space by an optimally designed artificial lateral line system

2017 ◽  
Vol 12 (3) ◽  
pp. 036010 ◽  
Author(s):  
Ali Ahrari ◽  
Hong Lei ◽  
Montassar Aidi Sharif ◽  
Kalyanmoy Deb ◽  
Xiaobo Tan
Keyword(s):  
Lateral Line ◽  
Dipole Source ◽  
Lateral Line System ◽  
Source Characterization ◽  
Line System ◽  
3D Space

Underwater Tracking and Size-Estimation of a Moving Object Using an IPMC Artificial Lateral Line

2012 ◽  
Author(s):  
Ahmad T. Abdulsadda ◽  
Xiaobo Tan
Keyword(s):  
Lateral Line ◽  
Moving Object ◽  
Dipole Source ◽  
Lateral Line System ◽  
Metal Composite ◽  
Size Estimation ◽  
Underwater Robots ◽  
Flow Sensors ◽  
Line System ◽  
Size And Shape

Motivated by the lateral line system of fish and amphibians, arrays of flow sensors have been proposed as a new sensing modality for underwater robots. Most existing studies on such artificial lateral lines have been focused on the localization of a vibrating sphere, also known as a dipole source. In this paper we investigate the problem of tracking a moving but non-vibrating cylindrical object and estimating its size and shape using an artificial lateral line system. Based on a nonlinear analytical model for the moving object-induced flow field, a two-stage extended Kalman filter is proposed to estimate the location, velocity, size, and shape of the object. Simulation results on tracking a cylinder with ellipsoidal cross-section are presented to illustrate the approach. On the experimental side, we demonstrate the use of an artificial lateral line prototype comprising six ionic polymer-metal composite (IPMC) flow sensors in the tracking and size estimation of a moving circular cylinder.

scholarly journals Frequency response properties of primary afferent neurons in the posterior lateral line system of larval zebrafish

2015 ◽  
Vol 113 (2) ◽  
pp. 657-668 ◽  
Author(s):  
Rafael Levi ◽  
Otar Akanyeti ◽  
Aleksander Ballo ◽  
James C. Liao
Keyword(s):  
Lateral Line ◽  
Sine Wave ◽  
Afferent Neuron ◽  
Lateral Line System ◽  
Afferent Neurons ◽  
Primary Afferent Neurons ◽  
Primary Afferent ◽  
Line System ◽  
Response Properties ◽  
Larval Zebrafish

The ability of fishes to detect water flow with the neuromasts of their lateral line system depends on the physiology of afferent neurons as well as the hydrodynamic environment. Using larval zebrafish ( Danio rerio), we measured the basic response properties of primary afferent neurons to mechanical deflections of individual superficial neuromasts. We used two types of stimulation protocols. First, we used sine wave stimulation to characterize the response properties of the afferent neurons. The average frequency-response curve was flat across stimulation frequencies between 0 and 100 Hz, matching the filtering properties of a displacement detector. Spike rate increased asymptotically with frequency, and phase locking was maximal between 10 and 60 Hz. Second, we used pulse train stimulation to analyze the maximum spike rate capabilities. We found that afferent neurons could generate up to 80 spikes/s and could follow a pulse train stimulation rate of up to 40 pulses/s in a reliable and precise manner. Both sine wave and pulse stimulation protocols indicate that an afferent neuron can maintain their evoked activity for longer durations at low stimulation frequencies than at high frequencies. We found one type of afferent neuron based on spontaneous activity patterns and discovered a correlation between the level of spontaneous and evoked activity. Overall, our results establish the baseline response properties of lateral line primary afferent neurons in larval zebrafish, which is a crucial step in understanding how vertebrate mechanoreceptive systems sense and subsequently process information from the environment.

scholarly journals Diversity and sexual dimorphism in the head lateral line system in North Sea populations of threespine sticklebacks, Gasterosteus aculeatus (Teleostei: Gasterosteidae)

Zoomorphology ◽  
2020 ◽  
Author(s):  
Harald Ahnelt ◽  
David Ramler ◽  
Maria Ø. Madsen ◽  
Lasse F. Jensen ◽  
Sonja Windhager
Keyword(s):  
Sexual Dimorphism ◽  
North Sea ◽  
Lateral Line ◽  
Gasterosteus Aculeatus ◽  
Sensory System ◽  
Threespine Stickleback ◽  
Lateral Line System ◽  
Line System ◽  
Marine Population ◽  
Threespine Sticklebacks

AbstractThe mechanosensory lateral line of fishes is a flow sensing system and supports a number of behaviors, e.g. prey detection, schooling or position holding in water currents. Differences in the neuromast pattern of this sensory system reflect adaptation to divergent ecological constraints. The threespine stickleback, Gasterosteus aculeatus, is known for its ecological plasticity resulting in three major ecotypes, a marine type, a migrating anadromous type and a resident freshwater type. We provide the first comparative study of the pattern of the head lateral line system of North Sea populations representing these three ecotypes including a brackish spawning population. We found no distinct difference in the pattern of the head lateral line system between the three ecotypes but significant differences in neuromast numbers. The anadromous and the brackish populations had distinctly less neuromasts than their freshwater and marine conspecifics. This difference in neuromast number between marine and anadromous threespine stickleback points to differences in swimming behavior. We also found sexual dimorphism in neuromast number with males having more neuromasts than females in the anadromous, brackish and the freshwater populations. But no such dimorphism occurred in the marine population. Our results suggest that the head lateral line of the three ecotypes is under divergent hydrodynamic constraints. Additionally, sexual dimorphism points to divergent niche partitioning of males and females in the anadromous and freshwater but not in the marine populations. Our findings imply careful sampling as an important prerequisite to discern especially between anadromous and marine threespine sticklebacks.

Sign in / Sign up

Export Citation Format

Share Document