» Articles » PMID: 31910778

Sea Star Inspired Crawling and Bouncing

Overview
Date 2020 Jan 9
PMID 31910778
Citations 5
Authors
Affiliations
Soon will be listed here.
Abstract

The oral surface of sea stars is lined with arrays of tube feet that enable them to achieve highly controlled locomotion on various terrains. The activity of the tube feet is orchestrated by a nervous system that is distributed throughout the body without a central brain. How such a distributed nervous system produces a coordinated locomotion is yet to be understood. We develop mathematical models of the biomechanics of the tube feet and the sea star body. In the model, the feet are coupled mechanically through their structural connection to a rigid body. We formulate hierarchical control laws that capture salient features of the sea star nervous system. Namely, at the tube foot level, the power and recovery strokes follow a state-dependent feedback controller. At the system level, a directionality command is communicated through the nervous system to all tube feet. We study the locomotion gaits afforded by this hierarchical control model. We find that these minimally coupled tube feet coordinate to generate robust forward locomotion, reminiscent of the crawling motion of sea stars, on various terrains and for heterogeneous tube feet parameters and initial conditions. Our model also predicts a transition from crawling to bouncing consistently with recent experiments. We conclude by commenting on the implications of these findings for understanding the neuromechanics of sea stars and their potential application to autonomous robotic systems.

Citing Articles

Soft skeletons transmit force with variable gearing.

Ellers O, Ellers K, Johnson A, Po T, Heydari S, Kanso E J Exp Biol. 2024; 227(9).

PMID: 38738313 PMC: 11177778. DOI: 10.1242/jeb.246901.


Gecko adhesion based sea star crawler robot.

Acharya S, Roberts P, Rane T, Singhal R, Hong P, Ranade V Front Robot AI. 2023; 10:1209202.

PMID: 37469630 PMC: 10352780. DOI: 10.3389/frobt.2023.1209202.


3D Reticulated Actuator Inspired by Plant Up-Righting Movement Through a Cortical Fiber Network.

Masselter T, Speck O, Speck T Biomimetics (Basel). 2021; 6(2).

PMID: 34071936 PMC: 8161443. DOI: 10.3390/biomimetics6020033.


Three-dimensional visualization as a tool for interpreting locomotion strategies in ophiuroids from the Devonian Hunsrück Slate.

Clark E, Hutchinson J, Briggs D R Soc Open Sci. 2021; 7(12):201380.

PMID: 33489281 PMC: 7813258. DOI: 10.1098/rsos.201380.


Field Testing of Biohybrid Robotic Jellyfish to Demonstrate Enhanced Swimming Speeds.

Xu N, Townsend J, Costello J, Colin S, Gemmell B, Dabiri J Biomimetics (Basel). 2020; 5(4).

PMID: 33233340 PMC: 7709697. DOI: 10.3390/biomimetics5040064.

References
1.
Kano T, Kanauchi D, Aonuma H, Clark E, Ishiguro A . Decentralized Control Mechanism for Determination of Moving Direction in Brittle Stars With Penta-Radially Symmetric Body. Front Neurorobot. 2019; 13:66. PMC: 6716452. DOI: 10.3389/fnbot.2019.00066. View

2.
McCurley R, Kier W . The Functional Morphology of Starfish Tube Feet: The Role of a Crossed-Fiber Helical Array in Movement. Biol Bull. 2017; 188(2):197-209. DOI: 10.2307/1542085. View

3.
Kano T, Yoshizawa R, Ishiguro A . Tegotae-based decentralised control scheme for autonomous gait transition of snake-like robots. Bioinspir Biomim. 2017; 12(4):046009. DOI: 10.1088/1748-3190/aa7725. View

4.
Collins S, Ruina A, Tedrake R, Wisse M . Efficient bipedal robots based on passive-dynamic walkers. Science. 2005; 307(5712):1082-5. DOI: 10.1126/science.1107799. View

5.
Owaki D, Goda M, Miyazawa S, Ishiguro A . A Minimal Model Describing Hexapedal Interlimb Coordination: The Tegotae-Based Approach. Front Neurorobot. 2017; 11:29. PMC: 5465294. DOI: 10.3389/fnbot.2017.00029. View