Using Bayesian Network for Robot Behavior with Sensor Fault

Authors

  • A. Rezaee
  • A. Raie
  • A. Nadi
  • S. Shiry

DOI:

https://doi.org/10.5755/j01.eee.108.2.152

Abstract

The paper discussed application of Bayesian network to learn behavior of mobile robot in presence of fault sensor. Theoretical and practical are considered for checking the results. Robot's model was considered as Bayesian model that each value of CPD was learned. This framework shows that can be work in real environment with noisy sensor. Ill. 12, bibl. 7, tabl. 2 (in English; abstracts in English and Lithuanian).

http://dx.doi.org/10.5755/j01.eee.108.2.152

Downloads

Published

2011-01-26

How to Cite

Rezaee, A., Raie, A., Nadi, A., & Shiry, S. (2011). Using Bayesian Network for Robot Behavior with Sensor Fault. Elektronika Ir Elektrotechnika, 108(2), 91-96. https://doi.org/10.5755/j01.eee.108.2.152

Issue

Vol. 108 No. 2 (2011)

Section

AUTOMATION, ROBOTICS

License

The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.

By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.