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Sea star inspired crawling and bouncing.

Sina Heydari1, Amy Johnson2, Olaf Ellers2

  • 1Department of Aerospace and Mechanical Engineering, University of Southern California, 854 Downey Way, Los Angeles, CA 90089, USA.

Journal of the Royal Society, Interface
|January 9, 2020
PubMed
Summary
This summary is machine-generated.

Sea stars use a distributed nervous system to coordinate tube feet for locomotion. Mathematical models reveal how these feet generate robust crawling and predict transitions to bouncing gaits.

Keywords:
decentralized and hierarchical controldistributed soft actuatorslocomotion and gait transitionsneuromechanics

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Area of Science:

  • Marine Biology
  • Biophysics
  • Robotics

Background:

  • Sea stars exhibit complex locomotion using numerous tube feet.
  • Their nervous system is decentralized, lacking a central brain.
  • Understanding sea star locomotion informs bio-inspired robotics.

Purpose of the Study:

  • To model sea star locomotion using biomechanical and control principles.
  • To investigate how a distributed nervous system coordinates tube feet movement.
  • To explore potential applications in autonomous robotic systems.

Main Methods:

  • Developed mathematical models of tube foot biomechanics and sea star body.
  • Formulated hierarchical control laws mimicking the sea star nervous system.
  • Simulated locomotion gaits under various conditions.

Main Results:

  • The model successfully generated robust forward locomotion (crawling) with coordinated tube feet.
  • Locomotion was effective across different terrains and with heterogeneous parameters.
  • Predicted a transition from crawling to bouncing gaits, consistent with experiments.

Conclusions:

  • Hierarchical control in a distributed nervous system enables coordinated sea star locomotion.
  • Findings provide insights into sea star neuromechanics.
  • The model offers a framework for developing autonomous robotic systems.