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

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.

关键词： Bio-inspired neural network cooperative hunting ocean current factors collision avoided

作者: LV Ruofan ZHU Daqi

作者单位: Laboratory of Underwater Vehicles and Intelligent Systems,Shanghai Maritime University,Shanghai,201306,China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 4983-4988

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）