Detail publikace

Enhancement of Autonomous Robot Navigation via Sensor Failure Detection

VĚCHET, S. KREJSA, J. CHEN, K.

Originální název

Enhancement of Autonomous Robot Navigation via Sensor Failure Detection

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Sensor Failure Detection and Identification (FDI) is a standard meth-od 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 ca-pable 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 safe-ly move among people.

Klíčová slova

Autonomous mobile robots navigation; Sensor failure detection and identification; Pattern matching; First order Markov chain;

Autoři

VĚCHET, S.; KREJSA, J.; CHEN, K.

Rok RIV

2015

Vydáno

21. 9. 2015

Nakladatel

Springer

Místo

Warsaw

ISBN

978-3-319-23921-7

Kniha

Advances in Intelligent systems and computing

Strany od

657

Strany do

652

Strany počet

663

BibTex

@inproceedings{BUT117023,
  author="Stanislav {Věchet} and Jiří {Krejsa} and Kuo-Shen {Chen}",
  title="Enhancement of Autonomous Robot Navigation via Sensor Failure Detection",
  booktitle="Advances in Intelligent systems and computing",
  year="2015",
  pages="657--652",
  publisher="Springer",
  address="Warsaw",
  doi="10.1007/978-3-319-23923-1\{_}92",
  isbn="978-3-319-23921-7"
}