Improved Hormone-Inspired Model for Hierarchical Self-organization in Swarm Robotics
文献类型:会议论文
| 作者 | Leng YQ(冷雨泉) ; Han XN(韩小宁) ; Zhang W(张伟)
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| 出版日期 | 2016 |
| 会议日期 | June 25-30, 2016 |
| 会议地点 | Bali, Indonesia |
| 关键词 | Improved Hormone-inspired Hierarchical Self-organization Swarm Robotics |
| 页码 | 535-543 |
| 英文摘要 | More and more robotic systems with lots of robotic individuals severs for human, such as intelligent terminal, intelligent storage, intelligence factory, etc. This is the trend of robotics technology, which will lead robotics system become huger with more individuals. Then, how to organize and manage this huge robotic system will be one important issue. This paper proposes hierarchical self-organizing approach to realize self-management, self-organization. Firstly, hierarchical self-organizing model is put forward and the process of formation is described in detail, which makes the organizing structure of system regularly. Secondly, this paper uses the improved hormone-inspired model (IHM) to establish relation between individuals, which considers topological structure of the organization, supports dynamic reconfiguration and self-organization, and requires no globally certain identifiers for individual robots. Finally, this paper presents the experimental results on swarm robotics system with a large scale of individuals to form a self-organization. |
| 产权排序 | 1 |
| 会议录 | Advances in Swarm Intelligence
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| 会议录出版者 | Springer Verlag |
| 会议录出版地 | Berlin |
| 语种 | 英语 |
| ISSN号 | 0302-9743 |
| ISBN号 | 978-3-319-41008-1 |
| WOS记录号 | WOS:000386324000058 |
| 源URL | [http://ir.sia.cn/handle/173321/19244] ![]() |
| 专题 | 沈阳自动化研究所_空间自动化技术研究室 |
| 通讯作者 | Han XN(韩小宁) |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing, 100000, China 2.State Key Laboratory of Robotics, Shenyang Institute of Automation, University of Chinese Academy of Sciences, Shenyang, 110016, China |
| 推荐引用方式 GB/T 7714 | Leng YQ,Han XN,Zhang W. Improved Hormone-Inspired Model for Hierarchical Self-organization in Swarm Robotics[C]. 见:. Bali, Indonesia. June 25-30, 2016. |
入库方式: OAI收割
来源:沈阳自动化研究所
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