Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
409232 | Neurocomputing | 2008 | 7 Pages |
Abstract
An artificial bionic neural network to control fish-robot locomotion is presented. The fish-robot, which is inspired from “Gymnarchus niloticus”, is modeled as a multi-joint dynamic system with parallel connections and composed of several motors. The principle of the central pattern generators (CPGs) governing the locomotion of fish is analyzed. An artificial neural network which has many comparability with the biological CPGs is designed to control the fish-robot. Experimental results of startup, stop, forward swimming and backward swimming show its validity and efficiency.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Daibing Zhang, Dewen Hu, Lincheng Shen, Haibin Xie,