Biological Inspiration: From Carangiform Fish to Multi-Joint Robotic Fish

This paper presents a novel approach to modelling carangiform fish-like swimming motion for multi-joint robotic fish so that they can obtain fish-like behaviours and mimic the body motion of carangiform fish. A given body motion function of fish swimming is firstly converted to a tail motion functio...

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Bibliographic Details
Published in:Journal of bionics engineering 2010-03, Vol.7 (1), p.35-48
Main Authors: Liu, Jindong, Hu, Huosheng
Format: Article
Language:English
Subjects:
Approximation
Artificial Intelligence
Biochemical Engineering
Bioinformatics
Biomaterials
Biomedical Engineering and Bioengineering
Biomedical Engineering/Biotechnology
carangiform fish
Engineering
Error functions
Fish
fish swimming behaviour
Mathematical analysis
Mathematical models
multi-joint robot
robotic fish
Robotics
Swimming
Turning
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Summary:This paper presents a novel approach to modelling carangiform fish-like swimming motion for multi-joint robotic fish so that they can obtain fish-like behaviours and mimic the body motion of carangiform fish. A given body motion function of fish swimming is firstly converted to a tail motion function which describes the tail motion relative to the head. Then, the tail motion function is discretized into a series of tail postures over time. Thirdly, a digital approximation method calculates the turning angles of joints in the tail to approximate each tail posture; and finally, these angles are grouped into a look-up table, or regressed to a time-dependent function, for practically controlling the tail motors in a multi-joint robotic fish. The paper made three contributions: tail motion relative to the head, an error function for digital approximation and regressing a look-up table for online optimization. To prove the feasibility of the proposed methodology, two basic swimming motion patterns, cruise straight and C-shape sharp turning, are modelled and implemented in our robotic fish. The experimental results show that the relative tail motion and the approximation error function are good choices and the proposed method is feasible.
ISSN:1672-6529
2543-2141
DOI:10.1016/S1672-6529(09)60184-0