Development of an artificial fish-like robot and its application in cooperative transportation
文献类型:期刊论文
作者 | Shao Jinyan1; Wang Long1; Junzhi Yu2![]() |
刊名 | CONTROL ENGINEERING PRACTICE
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出版日期 | 2008-05-01 |
卷号 | 16期号:5页码:569-584 |
关键词 | robot fish multiple robots cooperative control |
通讯作者 | Wang Long |
英文摘要 | The design of an artificial fish-like robot and its application in cooperative transportation is described in this paper. Although there have been plenty of results obtained in multi-robot cooperation, they are seldom concerned with underwater applications. In this paper, a fish-like robot is designed from the perspective of biomimetics and then, using multiple fish robots, a cooperative transportation task is designed and implemented based on a situated action selection approach. The experimental trials are presented to verify the effectiveness of the proposed method. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Automation & Control Systems ; Engineering, Electrical & Electronic |
研究领域[WOS] | Automation & Control Systems ; Engineering |
关键词[WOS] | PERFORMANCE ; FRAMEWORK |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000254373900006 |
源URL | [http://ir.ia.ac.cn/handle/173211/9655] ![]() |
专题 | 自动化研究所_09年以前成果 |
作者单位 | 1.Peking University, Intelligent Control Laboratory, College of Engineering, Beijing, 100871, China 2. Laboratory of Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, China |
推荐引用方式 GB/T 7714 | Shao Jinyan,Wang Long,Junzhi Yu. Development of an artificial fish-like robot and its application in cooperative transportation[J]. CONTROL ENGINEERING PRACTICE,2008,16(5):569-584. |
APA | Shao Jinyan,Wang Long,&Junzhi Yu.(2008).Development of an artificial fish-like robot and its application in cooperative transportation.CONTROL ENGINEERING PRACTICE,16(5),569-584. |
MLA | Shao Jinyan,et al."Development of an artificial fish-like robot and its application in cooperative transportation".CONTROL ENGINEERING PRACTICE 16.5(2008):569-584. |
入库方式: OAI收割
来源:自动化研究所
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