Proceedings Article10.1109/CCDC.2015.7162355
A cooperative hunting algorithm of multi-AUV in 3-D dynamic environment
Zongrui Huang,Daqi Zhu +1 more
- 23 May 2015
- pp 2571-2575
7
TL;DR: A Multi-AUV cooperative hunting algorithm based on Bio-inspired neural network for 3-D dynamic environment and the guidance of neurons provides high efficient path planning for each hunting AUV and finally the target is surrounded by AUVs.
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Abstract: A Multi-AUV cooperative hunting algorithm based on Bio-inspired neural network is proposed for 3-D dynamic environment in this paper. Firstly, based on the establishment of biological inspired neural network model, AUV working environment is represent by it, there is one-to-one correspondence between each neuron in neural network and the position of the grid map of underwater environment. Then the guidance of neurons provides high efficient path planning for each hunting AUV and finally the target is surrounded by AUVs. Lastly, to demonstrate the effectiveness of the proposed algorithm, simulation results are given in this paper.
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Citations
Path Planning Technologies for Autonomous Underwater Vehicles-A Review
Daoliang Li,Peng Wang,Ling Du +2 more
TL;DR: The most prominent feature of this paper is to summarize the improvement methods of various technical shortcomings and improve the original methods, such as dynamic obstacle avoidance, optimization path, coverage, and processing speed.
A survey of underwater search for multi-target using Multi-AUV: Task allocation, path planning, and formation control
TL;DR: In this article , the authors summarize the application and development trend of multi-AUV formation in underwater search, so as to summarize the past, present, and future research and development trends of this investigation field in detail.
68
A Review of the Path Planning and Formation Control for Multiple Autonomous Underwater Vehicles
TL;DR: In this article, the authors reviewed the different structures of formation control in AUVs and discussed their advantages and disadvantages, as well as the limitations specific to the cooperative structure of AUVs.
67
A Novel Cooperative Hunting Algorithm for Inhomogeneous Multiple Autonomous Underwater Vehicles
Mingzhi Chen,Daqi Zhu +1 more
TL;DR: A combined path planning approach is presented, which combines a Glasius bio-inspired neural network model and a belief function to achieve a quick and accurate pursuit of inhomogeneous multi-AUV under dynamic underwater environment with intelligent evaders and multi-obstacle.
47
A leader–follower formation control approach for target hunting by multiple autonomous underwater vehicle in three-dimensional underwater environments:
Xiang Cao,Liqiang Guo +1 more
TL;DR: The proposed algorithm can effectively accomplish the target hunting task, save the hunting time, and avoid the target escape, and compared with the bioinspired neural network algorithm, the proposed algorithm shows better performance.
33
References
A multi-robot coordinated hunting strategy with dynamic alliance
Ying Ma,Zhiqiang Cao,Xiang Dong,Chao Zhou,Min Tan +4 more
- 17 Jun 2009
TL;DR: In this paper, a multi-robot coordinated strategy with dynamic alliance is proposed to handle with the cases of more than one evader and the allied hunting based on circular-elliptic besieging circles is designed.
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A GA Based Combinatorial Auction Algorithm for Multi-Robot Cooperative Hunting
Jianwei Gong,Jianyong Qi,Guangming Xiong,Huiyan Chen,Wanning Huang +4 more
- 15 Dec 2007
TL;DR: A combinatorial auction model based on genetic algorithm (GACA) was presented and the whole process of hunting was very smooth, and the cost time cost by the algorithm was much shorter than the compared method.
26
Research on Improving Training Speed of LMBP Algorithm and its Simulation in Application
Wen-shang Xu,Qing-ming Yu,Yan-liang Sun,Tian-wen Dong +3 more
- 15 Dec 2007
TL;DR: This paper applies this ameliorated LMBP algorithm into the training simulation of fault diagnosis based on some device's gearbox and indicates that the total training speed of single-hidden layer BP neural network based on the improved L MBP algorithm is approximately three times of that of the basic LMBp algorithm.
25
Task allocation for multi-robot cooperative hunting behavior based on improved auction algorithm
Sun Wei,Dou Li-hua,Fang Hao,Zhang Haiqiang +3 more
- 16 Jul 2008
TL;DR: An improved auction algorithm is proposed which may establish an ordered task list and holds biddings for each task in the list repeatedly repeatedly and can be modified which allow dealing with a considerable volume of tasks in a dynamic environments.
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•Journal Article
Strategy of Cooperative Hunting by Multiple Mobile Robots
TL;DR: A general scheme of cooperative hunting for a moving target by multiple mobile robots in continuous unknown environments is presented in this paper, which consists of encircling the target and closing to it.
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