Cloud computing based localization for mobile robot systems

Chung Ying Li, Chen-Chien James Hsu, Wei-Yen Wang, Yi Hsing Chien, I. Hsum Li

研究成果: 書貢獻/報告類型會議論文篇章

3 引文 斯高帕斯(Scopus)

摘要

A robot localization plays an important role in the field of robot navigation. One of the most commonly used localization algorithms is Monte Carlo algorithm. To improve the efficiency of robot localization, many modified algorithms have been proposed, such as Self-Adaptive Monte Carlo algorithm. However, this method requires a lot of storage space and intensive computing, especially in large environments. In recent years, because of the rapid development of cloud computing, the data can be dynamically allocated. Therefore, this paper combines the Self-Adaptive Monte Carlo Localization algorithm with cloud computing. Some experimental results illustrate the proposed architecture, which can quickly establish the map database and provide the shared map information to multiple robots. In addition, the proposed method reduces the computational load and expands the scope of activities.

原文英語
主出版物標題CACS 2014 - 2014 International Automatic Control Conference, Conference Digest
發行者Institute of Electrical and Electronics Engineers Inc.
頁面238-242
頁數5
ISBN(電子)9781479945849
DOIs
出版狀態已發佈 - 2014 四月 28
事件2014 International Automatic Control Conference, CACS 2014 - Kaohsiung, 臺灣
持續時間: 2014 十一月 262014 十一月 28

出版系列

名字CACS 2014 - 2014 International Automatic Control Conference, Conference Digest

其他

其他2014 International Automatic Control Conference, CACS 2014
國家/地區臺灣
城市Kaohsiung
期間2014/11/262014/11/28

ASJC Scopus subject areas

  • 控制與系統工程

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