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Hierarchical self-organization for task-oriented swarm robotics
Leng YQ(冷雨泉); Yu C(余岑); Zhang W(张伟); Zhang Y(张阳); He X(何旭); Zhou WJ(周维佳)
Department空间自动化技术研究室
Conference Name6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015
Conference DateJune 25-28, 2015
Conference PlaceBeijing, China
Author of SourcePeking University; Xian Jiaotong-Liverpool University
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Publication PlaceBerlin
2015
Pages543-550
Indexed ByEI
EI Accession number20154801602733
Contribution Rank1
ISSN03029743
ISBN978-3-319-20465-9
KeywordHierarchical Self-organization Task-oriented Swarm Robotics
AbstractThe problems of diversity of tasks and non-structural environment have been put in front of robotic development, on the other hand, we urgently hope they consume low cost and have high reliability, so the method of multicooperation is wildly used. Then we would get the swarm robotics social system with the individual growing. In this paper, we proposed hierarchical organizational model to definite social order during task decomposition; then, we design the method of behavior generation based on proposition/transition Petri networks, which would assist the system to construct combined behavior using the sample individual behavior to solve a variety of tasks.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/17317
Collection空间自动化技术研究室
Corresponding AuthorZhang Y(张阳)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, University of Chinese Academy of Science, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.Anhui Xinhe Defense Equipment Technology Corporation Limited, Hefei, China
Recommended Citation
GB/T 7714
Leng YQ,Yu C,Zhang W,et al. Hierarchical self-organization for task-oriented swarm robotics[C]//Peking University; Xian Jiaotong-Liverpool University. Berlin:Springer Verlag,2015:543-550.
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