A Novel Distributed Source Seeking Method Based on Multi-Robots Flocking
文献类型：会议论文
| 作者 | Shao SL(邵士亮)1,2,3 ; Wang T(王挺)1,3; Song CH(宋纯贺)1,3; Su Y(苏赟)1,3; Chen XC(陈星池)2; Zhao H(赵海)2
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| 出版日期 | 2019 |
| 会议日期 | July 29 - August 2, 2019 |
| 会议地点 | Suzhou, China |
| 页码 | 654-658 |
| 英文摘要 | The purpose of this paper is to present a novel distributed source seeking scheme, and the scheme is based on multiple robots flocking(DSSF). Source seeking is to seek the source of some signal in environment. Flocking is a form that multiple robots move with flexible topological structure. Therefore, the proposed DSSF scheme is highly effective during the source seeking process. Furthermore, the proposed DSSF scheme will more efficient to finish source seeking task. Particularly, there exist two steps in DSSF scheme. In the first step, a robot calculates gradient velocity with its concentration information and its neighbors'. In the second process, the seeking velocities of robots are achieved by the importance of a robot in the flock. At last, the effectiveness and robustness of DSSF scheme is demonstrated. |
| 产权排序 | 1 |
| 会议录 | Proceedings of 9th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISSN号 | 2379-7711 |
| ISBN号 | 978-1-7281-0770-7 |
| WOS记录号 | WOS:000569550300112 |
| 源URL | [http://ir.sia.cn/handle/173321/27665]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 沈阳自动化研究所_工业控制网络与系统研究室 |
| 通讯作者 | Shao SL(邵士亮) |
| 作者单位 | 1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, CO 110016, China 2.School of Computer Science and Engineering, Northeastern University, Shenyang, CO 110819 China 3.State Key Laboratory of Robotics,Shenyang Institute of Automation,Chinese Academy of Sciences, Shenyang, CO 110016 China |
| 推荐引用方式 GB/T 7714 | Shao SL,Wang T,Song CH,et al. A Novel Distributed Source Seeking Method Based on Multi-Robots Flocking[C]. 见:. Suzhou, China. July 29 - August 2, 2019. |
入库方式： OAI收割
来源：沈阳自动化研究所
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