Publication detail

Enhancement of Autonomous Robot Navigation via Sensor Failure Detection

VĚCHET, S. KREJSA, J. CHEN, K.

English title

Enhancement of Autonomous Robot Navigation via Sensor Failure Detection

Type

Paper in proceedings (conference paper)

Language

en

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 in English

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

Released

2015-09-21

Publisher

Springer

Location

Warsaw

ISBN

978-3-319-23921-7

Book

Advances in Intelligent systems and computing

Pages from–to

657–652

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"
}