Literature DB >> 32503011

A bio-inspired robotic fish utilizes the snap-through buckling of its spine to generate accelerations of more than 20g.

Todd Currier1, Samuel Lheron1, Yahya Modarres-Sadeghi2.   

Abstract

Inspired by the fastest observed live fishes, we have designed, built and tested a robotic fish that emulates the fast-start maneuver of these fishes and generates acceleration and velocity magnitudes comparable to those of the live fishes within the same time scale. We have designed the robotic fish such that it uses the snap-through bucking of its spine to generate the fast-start response. We have used a dynamic snap-through buckling model and a series of experiments on a beam under snap-through buckling to describe the robotic fish's motion. Our under-actuated robot relies on passive dynamics of a continuous beam to generate organic waveforms. In its transient fast-start maneuver, our robotic fish produces mode shapes very similar to those observed in live fishes, by going through a snap-though bifurcation. We have also used a nonlinear structural model subjected to a non-conservative eccentric compressive force, which is constrained to act tangential to the structure at all times, coupled with a simple fluid dynamic model to approximate the transient behavior of the robot. We relate the numerical results from our nonlinear model to the dynamics observed in the live system proposing an updated kinematic model to understand the mode shapes observed in the fast-start maneuver of the live fishes. We also report on deploying the robotic fish in a river.
© 2020 IOP Publishing Ltd.

Keywords:  Fast starting fish; Robotic fish; Snap-through bifurcation

Year:  2020        PMID: 32503011     DOI: 10.1088/1748-3190/ab9a14

Source DB:  PubMed          Journal:  Bioinspir Biomim        ISSN: 1748-3182            Impact factor:   2.956


  1 in total

1.  Tuna robotics: hydrodynamics of rapid linear accelerations.

Authors:  Robin Thandiackal; Carl H White; Hilary Bart-Smith; George V Lauder
Journal:  Proc Biol Sci       Date:  2021-02-17       Impact factor: 5.349

  1 in total

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