Multi-robot hunting in dynamic environments
文献类型：期刊论文
| 作者 | Cao, Zhiqiang1 ; Gu, Nong2; Tan, Min1; Nahavandi, Saeid2; Mao, Xiaofeng3; Guan, Zhenying2
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| 刊名 | INTELLIGENT AUTOMATION AND SOFT COMPUTING
 |
| 出版日期 | 2008 |
| 卷号 | 14期号:1页码:61-72 |
| 关键词 | multi-robot hunting besieging circle dynamic environment |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Automation & Control Systems ; Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Automation & Control Systems ; Computer Science |
| 关键词[WOS] | SYSTEMS |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000254981300006 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9567]  |
| 专题 | 自动化研究所_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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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