DocumentCode
231997
Title
The research of Multi-AUVs cooperative hunting problem in underwater environment with ocean current
Author
Lv Ruofan ; Zhu Daqi
Author_Institution
Lab. of Underwater Vehicles & Intell. Syst., Shanghai Maritime Univ., Shanghai, China
fYear
2014
fDate
28-30 July 2014
Firstpage
4983
Lastpage
4988
Abstract
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.
Keywords
autonomous underwater vehicles; cooperative systems; multi-robot systems; neurocontrollers; path planning; bio-inspired neural network; hunting robot; multiAUVs cooperative hunting problem; multirobot research; neuron guidance; ocean current factors; path planning; underwater environment; Biological neural networks; Biological system modeling; Neurons; Oceans; Robot kinematics; Bio-inspired neural network; collision avoided; cooperative hunting; ocean current factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2014 33rd Chinese
Conference_Location
Nanjing
Type
conf
DOI
10.1109/ChiCC.2014.6895785
Filename
6895785
Link To Document