A Review of Artificial Lateral Line in Sensor Fabrication and Bionic Applications for Robot Fish

Table 3

Summary of ALL systems.

Author	Sensors	Achievements
Pandya et al. ‎[26]	16 HWAs	To visualize an underwater flow fluctuation using adaptive beamforming together with ALL systems.
DeVries et al. ‎[27]	8 IPMC sensors and 4 pressure sensors	To present estimation and control strategies enabling an underwater vehicle to assimilate measurements from an ALL system and estimate flow parameters for feedback control.
Chambers et al. ‎[28]	33 pressure sensors	To investigate fluid interactions with underwater vehicles. The periodic vortexes are formed behind cylinders with different diameters (2.5, 4.5, and 10 cm) and flow velocities (9.9, 19.6, and 26.1 cm s^−1).
Venturelli et al. ‎[4]	20 pressure sensors	To present a depth understanding of hydrodynamic characteristics in uniform flow and Karman vortex streets.
Li et al. ‎[29]	9 pressure sensors (CPS131)	To measure the swimming speed of a robotic fish and make a fast control for it.
Salumae et al. ‎[36]	5 pressure sensors (MS5407-AM)	To identify and discriminate flow regimens, detect the orientation with respect to the flow direction, measure the flow speed, and estimate the robot position in the wake of an object.
Fuentes-Pérez et al. ‎[5]	16 pressure sensors (SM5420C-030-A-P-S)	To propose an algorithm that allows the ALL systems to estimate current flow velocity without sensor calibration.
Kruusmaa et al. ‎[31]	2 pressure sensors	To detect changes in the laminar flow speed and adjust its tail-beat frequency for steady swimming.