Enhancement of autonomous robot navigation via sensor failure detection

Stanislav Vechet, Jiri Krejsa, Kuo Shen Chen

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
Pages657-662
Number of pages6
DOIs
Publication statusPublished - 2016 Jan 1

Publication series

NameAdvances in Intelligent Systems and Computing
Volume393
ISSN (Print)2194-5357

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Enhancement of autonomous robot navigation via sensor failure detection'. Together they form a unique fingerprint.

Cite this