中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research on Pursuit-evasion Games with Multiple Heterogeneous Pursuers and A High Speed Evader

文献类型:会议论文

作者Wang HP(王鸿鹏); Yue, Qiang; Liu JT(刘景泰)
出版日期2015
会议名称27th Chinese Control and Decision Conference (CCDC)
会议日期May 23-25, 2015
会议地点Qingdao, PEOPLES R CHINA
关键词Pursuit-evasion games Heterogeneity Apollonius circle Q-Learning Motor Schema
页码4366-4370
中文摘要We deal with Pursuit-evasion games with a high speed evader which has superiority in velocity over a group of heterogeneous pursuers in this paper. Heterogeneity in the group of pursuers is expressed as heterogeneity in the individual maximum speeds. We introduce Apollonius circles generated by every pursuer and the evader to analyse the criteria for a successful capture. Collective robots pursuit problem under unknown environment is investigated from the view of behavior-based control method, and Motor Schema-based reactive control architecture is adopted. Three basic behaviors using for pursuers are designed, namely Move to goal. Avoid_obatacle and Hunting, wherein hunting behavior is realized through a kind of reinforcement learning algorithm called Q-Learning. Pursuit of the evader is based on synthesized behavior, generated through summarizing the outputs of all behaviors weighed. Results of simulation experiments validate the effectiveness of our method.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者IEEE Ind Elect Chapter, Qingdao Univ, IEEE Control Syst Soc, Syst Engn Soc China, Chinese Assoc Artificial Intelligence, Chinese Assoc Automat, Tech Comm Control Theory, Northeastern Univ
会议录2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC)
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISSN号1948-9439
ISBN号978-1-4799-7016-2
WOS记录号WOS:000375232905139
源URL[http://ir.sia.cn/handle/173321/19367]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Wang HP,Yue, Qiang,Liu JT. Research on Pursuit-evasion Games with Multiple Heterogeneous Pursuers and A High Speed Evader[C]. 见:27th Chinese Control and Decision Conference (CCDC). Qingdao, PEOPLES R CHINA. May 23-25, 2015.

入库方式: OAI收割

来源:沈阳自动化研究所

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