Publication detail

Enhancement of Autonomous Robot Navigation via Sensor Failure Detection

VĚCHET, S. KREJSA, J. CHEN, K.

Original Title

Enhancement of Autonomous Robot Navigation via Sensor Failure Detection

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

VĚCHET, S.; KREJSA, J.; CHEN, K.

RIV year

2015

Released

21. 9. 2015

Publisher

Springer

Location

Warsaw

ISBN

978-3-319-23921-7

Book

Advances in Intelligent systems and computing

Pages from

657

Pages to

652

Pages count

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"
}