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A bionic neural network for fish-robot locomotion

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Abstract

A bionic neural network for fish-robot locomotion is presented. The bionic neural network inspired from fish neural network consists of one high level controller and one chain of central pattern generators (CPGs). Each CPG contains a nonlinear neural Zhang oscillator which shows properties similar to sine-cosine model. Simulation results show that the bionic neural network presents a good performance in controlling the fish-robot to execute various motions such as startup, stop, forward swimming, backward swimming, turn right and turn left.

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Authors and Affiliations

  1. College of Mechatronic Engineering and Automation, National University of Defense Technology, 410073, Changsha, P. R. China

    Dai-bing Zhang, De-wen Hu, Lin-cheng Shen & Hai-bin Xie

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  1. Dai-bing Zhang
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  2. De-wen Hu
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  3. Lin-cheng Shen
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  4. Hai-bin Xie
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Correspondence to Dai-bing Zhang.

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Zhang, Db., Hu, Dw., Shen, Lc. et al. A bionic neural network for fish-robot locomotion. J Bionic Eng 3, 187–194 (2006). https://doi.org/10.1016/S1672-6529(07)60002-X

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  • DOI: https://doi.org/10.1016/S1672-6529(07)60002-X

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