A Localization Algorithm for Low-Cost Cleaning Robots Based on Kalman Filter
文献类型:会议论文
作者 | Zhangjun Song; Huifen Liu; Jianwei Zhang; Liwei Wang; Ying Hu |
出版日期 | 2010 |
会议名称 | 2010 8th World Congress on Intelligent Control and Automation, WCICA |
会议地点 | Jinan |
英文摘要 | A novel localization algorithm with low-cost sensors for cleaning robots is presented in this paper, which includes fusing the data of encoders and an electronic compass to estimate the posture state of the robot by using Kalman filter. It judges the confidence of the data of the electronic compass with magnetic field intensity; judges the confidence of data of odometer by the information of slippage and collision. A coverage strategy and map construction methods with the localization algorithm are also introduced. Experimental results show that the proposed algorithm can achieve adequate localization precise enough for complete coverage and the cleaning robots have a superior coverage ratio with the coverage strategy |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/2834] ![]() |
专题 | 深圳先进技术研究院_集成所 |
作者单位 | 2010 |
推荐引用方式 GB/T 7714 | Zhangjun Song,Huifen Liu,Jianwei Zhang,et al. A Localization Algorithm for Low-Cost Cleaning Robots Based on Kalman Filter[C]. 见:2010 8th World Congress on Intelligent Control and Automation, WCICA. Jinan. |
入库方式: OAI收割
来源:深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。