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Long-term Behavioral Tracking of Freely Swimming Weakly Electric Fish

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Published on: March 6, 2014

Fish-inspired segment models for undulatory steady swimming.

Otar Akanyeti¹, Valentina Di Santo², Elsa Goerig^3,4

¹Department of Computer Science, Aberystwyth University, Ceredigion, SY23 3FL, United Kingdom.

Bioinspiration & Biomimetics

|April 29, 2022

Summary

This summary is machine-generated.

Fish swimming movements can be modeled using simple multi-segment models. Segment length and configuration depend on body shape and swimming speed, informing underwater robot design.

Keywords:

fish robots midline kinematics multi-segment models undulatory swimming

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Area of Science:

Biomechanics
Robotics
Ichthyology

Background:

Aquatic animals utilize diverse undulatory body movements for locomotion.
Understanding these movements is key to developing advanced underwater robots.

Purpose of the Study:

To analyze fish swimming kinematics using multi-segment models.
To identify factors influencing segment configuration in fish locomotion.
To explore the potential for bio-inspired robot design.

Main Methods:

Analysis of steady swimming kinematics in various fish species.
Development and application of parsimonious multi-segment models.
Correlation of segment configuration with body shape, swimming kinematics, and Reynolds number.

Main Results:

Fish swimming can be successfully modeled with fewer than five segments.
Anterior segments are longer than posterior segments, with configuration linked to body shape and Reynolds number.
Eel-like fish and high-Reynolds number swimmers exhibit more segments and less length variability.

Conclusions:

Multi-segment models effectively represent fish undulatory swimming.
Body shape parameters predict segment configuration, with head morphology influencing head segment length.
Consistent tail segment lengths suggest evolutionary tuning for propulsive efficiency, offering insights for robot actuator placement and hydrodynamic modeling.