Enhancement of autonomous robot navigation via sensor failure detection

Stanislav Vechet, Jiri Krejsa, Kuo Shen Chen

研究成果: Chapter

1 引文 斯高帕斯(Scopus)

摘要

Sensor Failure Detection and Identification (FDI) is a standard method in many technical applications. Presented paper describes the usage of such approach in autonomous mobile robot navigation tasks. The FDI method uses pattern matching principle based on Markov chain theory. Such approach is capable to avoid any miss-readings or sensor failures during navigation task. This method significantly improves the robustness of mobile robot navigation in crowded environment shared with people. Practical verification experiments were performed on autonomous mobile robot Advee, which is designed to safely move among people.

原文English
主出版物標題Advances in Intelligent Systems and Computing
發行者Springer Verlag
頁面657-662
頁數6
DOIs
出版狀態Published - 2016 一月 1

出版系列

名字Advances in Intelligent Systems and Computing
393
ISSN(列印)2194-5357

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 電腦科學(全部)

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