Artificial Hair-Like Sensors Inspired from Nature: A Review

Han, Zhiwu; Liu, Linpeng; Wang, Kejun; Song, Honglie; Chen, Daobing; Wang, Ze; Niu, Shichao; Zhang, Junqiu; Ren, Luquan

doi:10.1007/s42235-018-0033-9

Cited by 59 publications

(57 citation statements)

References 89 publications

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“…Fan et al [4] completed the design and manufacture of a single fish lateral line sensor based on micromechanical distribution. Han et al [5] classified artificial hair sensors into different working principles based on an animal hair sensor and fish lateral line. Izadi et al [6] designed and fabricated flexible film arrays with a diameter of 100 µm, a gap height of 3 µm, and a mutual distance of 200 µm.…”

Section: Introductionmentioning

confidence: 99%

Flow Field Perception of a Moving Carrier Based on an Artificial Lateral Line System

Liu

Hao

Yang

et al. 2020

Sensors

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At present, autonomous underwater vehicles (AUVs) cannot perceive local environments in complex marine environments, where fish can obtain hydrodynamic information about the surrounding environment through a lateral line. Inspired by this biological function, an artificial lateral line system (ALLS) was built on a moving bionic carrier using the pressure sensor in this paper. When the carrier operated with different speeds in the flow field, the pressure distribution characteristics surrounding the carrier were analyzed by numerical simulation, where the effect of the flow angle between the fluid velocity direction and the carrier navigation direction was considered. The flume experiment was carried out in accordance with the simulation conditions, and the analysis results of the experiment were consistent with those in the simulation. The relationship between pressure and fluid velocity was established by a fitting method. Subsequently, the pressure difference method was investigated to establish a relationship model between the pressure difference on both sides of the carrier and the flow angle. Finally, a back propagation neural network model was used to predict the fluid velocity, flow angle, and carrier speed successfully in the unknown fluid environment. The local fluid environment perception by moving carrier carrying ALLS was studied which may promote the engineering application of the artificial lateral line in the local perception, positioning, and navigation on AUVs.

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Section: Introductionmentioning

confidence: 99%

Flow Field Perception of a Moving Carrier Based on an Artificial Lateral Line System

Liu

Hao

Yang

et al. 2020

Sensors

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“…Fortunately, the above problem can be potentially solved through studying the various mechanoreceptors which are sophisticated biological mechanoelectrical transducing microsystems (bio‐MTMs) for efficiently collecting mechanical signal and then converting into bioelectrical signal at nanoscale receptive field . Mechanosensing, such as microvibrational detection, hearing, tactile sensation, and sensing of air/water flow, is ubiquitous in nature. The corresponding mechanoreceptors are composed of mechanosensory microstructures and mechanosensory neurons .…”

Section: Introductionmentioning

confidence: 99%

“…Among the various mechanoreceptors, the ultrasensitive compound slit sensilla of nocturnal Arachnids (spiders, scorpions, etc.) are extraordinarily noticeable . Because the visual system of Arachnids have been highly degraded and they rely heavily on the compound slit sensilla to sense extremely weak biotic vibration signals from several decimeters or even meters away and detect dynamic loads caused by walking for guiding locomotion .…”

Section: Introductionmentioning

confidence: 99%

Highly Efficient Mechanoelectrical Energy Conversion Based on the Near‐Tip Stress Field of an Antifracture Slit Observed in Scorpions

Wang

Zhang

Song

et al. 2019

Adv Funct Materials

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In the field of engineering, a crack, inducing enormous mechanical energy concentration at a tip, is considered a typical kind of defect. However, it is found that, to maximize the sensitivity of slit-based mechanoreceptors, the near-tip stress field of "risky" crack-shaped slits is ingeniously used by scorpions to precisely detect the cyclic loads acting on walking legs without the crack nucleation from the flaw-like tip. As a sophisticated biological mechanoelectrical transducing microsystem, the mechanoreceptor can effectively collect mechanical energy contained in the mechanical signal through antifracture slit allays and then convert the mechanical energy into electrical energy through mechanosensory neuron. The highly efficient mechanoelectrical energy conversion mechanism is theoretically analyzed and experimentally verified in a bioinspired artificial mechanoreceptor. The results demonstrate the potential of basic "design" principles, underlying the slit-dependent mechanoreceptor, for maximizing the electromechanical conversion efficiency of the industrial mechanoelectrical transducing microsystem such as nanogenerators, ultrasensitive mechanical sensors, self-powered portable, and wearable electronics.

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“…The research can be divided into two parts. One is the engineering design of sensors based on setting nature as a model, which is called biomimetics [12][13][14], and the other one is the hydrodynamic mechanism of LLS [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Robust Classification Method for Underwater Targets Using the Chaotic Features of the Flow Field

Xinghua

Qin

2020

JMSE

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Fish can sense their surrounding environment by their lateral line system (LLS). In order to understand the extent to which information can be derived via LLS and to improve the adaptive ability of autonomous underwater vehicles (AUVs), a novel strategy is presented, which directly uses the information of the flow field to distinguish the object obstacle. The flow fields around different targets are obtained by the numerical method, and the pressure signal on the virtual lateral line is studied based on the chaos theory and fast Fourier transform (FFT). The compounded parametric features, including the chaotic features (CF) and the power spectrum density (PSD), which is named CF-PSD, are used to recognize the kinds of obstacles. During the research of CF, the largest Lyapunov exponent (LLE), saturated correlation dimension (SCD), and Kolmogorov entropy (KE) are taken into account, and PSD features include the number, amplitude, and position of wave crests. A two-step support vector machine (SVM) is built and used to classify the shapes and incidence angles based on the CF-PSD. It is demonstrated that the flow fields around triangular and square targets are chaotic systems, and the new findings indicate that the object obstacle can be recognized directly based on the information of the flow field, and the consideration of a parametric feature extraction method (CF-PSD) results in considerably higher classification success.

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Artificial Hair-Like Sensors Inspired from Nature: A Review

Cited by 59 publications

References 89 publications

Flow Field Perception of a Moving Carrier Based on an Artificial Lateral Line System

Flow Field Perception of a Moving Carrier Based on an Artificial Lateral Line System

Highly Efficient Mechanoelectrical Energy Conversion Based on the Near‐Tip Stress Field of an Antifracture Slit Observed in Scorpions

Robust Classification Method for Underwater Targets Using the Chaotic Features of the Flow Field

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