Multi-robot hunting in dynamic environments

CASIA OpenIR > 09年以前成果

	Multi-robot hunting in dynamic environments
	Cao, Zhiqiang1 ; Gu, Nong 2; Tan, Min1 ; Nahavandi, Saeid 2; Mao, Xiaofeng 3; Guan, Zhenying 2
发表期刊	INTELLIGENT AUTOMATION AND SOFT COMPUTING
	2008
卷号	14 期号:1 页码:61-72
文章类型	Article
摘要	This paper is concerned with multi-robot hunting in dynamic environments. A BCSLA approach is proposed to allow mobile robots to capture an intelligent evader. During the process of hunting, four states including dispersion-random-search, surrounding, catch and prediction are employed. In order to ensure each robot appropriate movement in each state, a series of strategies are developed in this paper. The dispersion-search strategy enables the robots to find the evader effectively. The leader-adjusting strategy aims to improve the hunting robots' response to environmental changes and the outflank strategy is proposed for the hunting robots to force the evader to enter a besieging circle. The catch strategy is designed for shrinking the besieging circle to catch the evader. The predict strategy allows the robots to predict the evader's position when they lose the tracking information about the evader. A novel collision-free motion strategy is also presented in this paper, which is called the direction-optimization strategy. To test the effect of cooperative hunting, the target to be captured owns a safety-motion strategy, which helps it to escape being captured. The computer simulations support the rationality of the approach.
关键词	Multi-robot Hunting Besieging Circle Dynamic Environment
WOS标题词	Science & Technology ; Technology
关键词[WOS]	SYSTEMS
收录类别	SCI
语种	英语
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Artificial Intelligence
WOS记录号	WOS:000254981300006
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/9517
专题	09年以前成果
作者单位	1.Chinese Acad Sci, Inst Automat, Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China 2.Deakin Univ, Sch Informat Technol & Engn, Geelong, Vic 3217, Australia 3.Penn State Univ, Dept Mech Engn, University Pk, PA 16802 USA
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Cao, Zhiqiang,Gu, Nong,Tan, Min,et al. Multi-robot hunting in dynamic environments[J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING,2008,14(1):61-72.
APA	Cao, Zhiqiang,Gu, Nong,Tan, Min,Nahavandi, Saeid,Mao, Xiaofeng,&Guan, Zhenying.(2008).Multi-robot hunting in dynamic environments.INTELLIGENT AUTOMATION AND SOFT COMPUTING,14(1),61-72.
MLA	Cao, Zhiqiang,et al."Multi-robot hunting in dynamic environments".INTELLIGENT AUTOMATION AND SOFT COMPUTING 14.1(2008):61-72.