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 :
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