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Title: A Fish-Like Soft-Robotic Model Generates a Diversity of Swimming Patterns
Abstract

Fish display a versatile array of swimming patterns, and frequently demonstrate the ability to switch between these patterns altering kinematics as necessary. Many hard and soft robotic systems have sought to understand a variety of aspects pertaining to undulatory swimming, but most have been built to focus solely on a subset of those swimming patterns. We have expanded upon a previous soft robotic model, the pneufish, so that it can now simulate a variety of swimming patterns, much like a real fish. We explore the performance space available for this longer soft robotic model, which we call the quad-pneufish, with particular attention to the effects on lateral forces and z-torques produced during locomotion. We show that the quad-pneufish is capable of achieving a variety of midline patterns—including more realistic, fish-like patterns—and introducing a slight amount of co-activation between the left and right sides maintains forward thrust while decreasing lateral forces, indicating an increase in swimming efficiency. Robotic systems that are capable of producing an array of swimming movement patterns hold promise as experimental platforms for studying the diversity of fish locomotor patterns.

Authors:
;
Publication Date:
NSF-PAR ID:
10371814
Journal Name:
Integrative and Comparative Biology
Volume:
62
Issue:
3
Page Range or eLocation-ID:
p. 735-748
ISSN:
1540-7063
Publisher:
Oxford University Press
Sponsoring Org:
National Science Foundation
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