AIMC Topic: Lateral Line System

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An interpretable approach to estimate the self-motion in fish-like robots using mode decomposition analysis.

Nature communications
The artificial lateral line system, composed of velocity and pressure sensors, is the sensing system for fish-like robots by mimicking the lateral line system of aquatic organisms. However, accurately estimating the self-motion of the fish-like robot...

Real-time position and pose prediction for a self-propelled undulatory swimmer in 3D space with artificial lateral line system.

Bioinspiration & biomimetics
This study aims to investigate the feasibility of using an artificial lateral line (ALL) system for predicting the real-time position and pose of an undulating swimmer with Carangiform swimming patterns. We established a 3D computational fluid dynami...

A study on flow field characteristics of a self-propelled robot fish approaching static obstacles based on artificial lateral line.

Bioinspiration & biomimetics
To perceive the static obstacles in still water, the flow field characteristics of a self-propelled robot fish approaching static obstacles were studied based on artificial lateral line (ALL). The pressure distribution on the fish body surface was ca...

Deep learning model inspired by lateral line system for underwater object detection.

Bioinspiration & biomimetics
Inspired by the lateral line systems of various aquatic organisms that are capable of hydrodynamic imaging using ambient flow information, this study develops a deep learning-based object localization model that can detect the location of objects usi...

Fish can save energy via proprioceptive sensing.

Bioinspiration & biomimetics
Fish have evolved diverse and robust locomotive strategies to swim efficiently in complex fluid environments. However, we know little, if anything, about how these strategies can be achieved. Although most studies suggest that fish rely on the latera...

Artificial lateral line based relative state estimation between an upstream oscillating fin and a downstream robotic fish.

Bioinspiration & biomimetics
The lateral line enables fish to efficiently sense the surrounding environment, thus assisting flow-related fish behaviors. Inspired by this phenomenon, varieties of artificial lateral line systems (ALLSs) have been developed and applied to underwate...

Recurrent neural networks for hydrodynamic imaging using a 2D-sensitive artificial lateral line.

Bioinspiration & biomimetics
The lateral line is a mechanosensory organ found in fish and amphibians that allows them to sense and act on their near-field hydrodynamic environment. We present a 2D-sensitive artificial lateral line (ALL) comprising eight all-optical flow sensors,...

Training bioinspired sensors to classify flows.

Bioinspiration & biomimetics
We consider the inverse problem of classifying flow patterns from local sensory measurements. This problem is inspired by the ability of various aquatic organisms to respond to ambient flow signals, and is relevant for translating these abilities to ...

Artificial lateral line based local sensing between two adjacent robotic fish.

Bioinspiration & biomimetics
The lateral line system (LLS) is a mechanoreceptive organ system with which fish and aquatic amphibians can effectively sense the surrounding flow field. The reverse Kármán vortex street (KVS), known to be a typical thrust-producing wake, is commonly...

Performance of neural networks for localizing moving objects with an artificial lateral line.

Bioinspiration & biomimetics
Fish are able to sense water flow velocities relative to their body with their mechanoreceptive lateral line organ. This organ consists of an array of flow detectors distributed along the fish body. Using the excitation of these individual detectors,...