The Research of Multi-AUVs Cooperative Hunting Problem in Underwater Environment with Ocean Current

被引:0
|
作者
Lv Ruofan [1 ]
Zhu Daqi [1 ]
机构
[1] Shanghai Maritime Univ, Lab Underwater Vehicles & Intelligent Syst, Shanghai 201306, Peoples R China
关键词
Bio-inspired neural network; cooperative hunting; ocean current factors; collision avoided; NEURAL-NETWORK;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Bio-inspired neural network is a new method which attracts much attention in Multi-robot research. In Multi-AUVs cooperative hunting issue, the guidance of neurons provides high efficient path planning for each hunting robot. However, the ocean current factors have not been discussed in most articles in this issue. This paper analyzes the influence of complex factors of underwater environment and solves how to complete cooperative hunting task by multi-AUVs with bio-inspired neural network. And the simulation study verified the hunting task under the bio-inspired neural network method in underwater environment is feasible.
引用
收藏
页码:4983 / 4988
页数:6
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