A Combined Indoor Self-positioning Method for Robotic Fish Based on Multi-sensor Fusion | |
Yuzhuo Fu1,2; Ben Lu1,2; Xiaocun Liao1,2; Qianqian Zou1,2; Zhuoliang Zhang1,2; Chao Zhou2 | |
2021-08-27 | |
会议日期 | 2021-8-11 |
会议地点 | Takamatsu, Japan |
关键词 | multi-sensor fusion, robotic fish, indoor positioning |
卷号 | 1 |
期号 | 1 |
DOI | 10.1109/ICMA52036.2021.9512608 |
页码 | 1226-1231 |
国家 | America,the United States |
英文摘要 | In an experimental environment with limited conditions, it is always hard to achieve precise positioning of robotic fish. A combined indoor self-positioning method in this paper is introduced to solve the problem. For the short-distance range, coordinates are calculated by fusing the measured distances and angles. For the medium-distance range, a clustering-grid |
源文献作者 | IEEE |
会议录 | 2021 IEEE International Conference on Mechatronics and Automation (ICMA) |
会议录出版者 | IEEE |
会议录出版地 | Takamatsu, Japan |
学科主题 | 机器人控制 |
语种 | 英语 |
URL标识 | 查看原文 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/48564] |
专题 | 复杂系统管理与控制国家重点实验室_水下机器人 |
作者单位 | 1.中国科学院大学人工智能学院 2.中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yuzhuo Fu,Ben Lu,Xiaocun Liao,et al. A Combined Indoor Self-positioning Method for Robotic Fish Based on Multi-sensor Fusion[C]. 见:. Takamatsu, Japan. 2021-8-11. |
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