A Set of Dynamic Artificial Neural Networks for Robot Sensor Failure Detection

Rafał Kapela; Aleksandra Świetlicka; Krzysztof Kolanowski; Janusz Pochmara; Andrzej Rybarczyk

doi:10.1109/RoMoCo.2017.8003913

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Title

A Set of Dynamic Artificial Neural Networks for Robot Sensor Failure Detection

Authors

Rafał Kapela (WI) ^{[ 1 ][ 2.2 ][ P ]}
Aleksandra Świetlicka (WI) ^{[ 1 ][ 2.2 ][ P ]}
Krzysztof Kolanowski (WI) ^{[ 1 ][ 2.2 ][ P ]}
Janusz Pochmara (WI) ^{[ 1 ][ P ]}
Andrzej Rybarczyk (WI) ^{[ 1 ][ P ]}

^{[ 1 ]} Katedra Inżynierii Komputerowej, Wydział Informatyki, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.2] Automation, electronics and electrical engineering

Year of publication

2017

Chapter type

chapter in monograph / paper

Publication language

english

Abstract

EN Paper presents a novel idea of failure detection mechanism for complex control environments. The mechanism is composed of several dynamic artificial neural networks that work in parallel in order to detect a failing signal from one of the on-board robot sensors. The simulation results show that the system is capable of detecting a failing control system quickly and efficiently.

Pages (from - to)

199 - 204

DOI

10.1109/RoMoCo.2017.8003913

URL

https://ieeexplore.ieee.org/abstract/document/8003913

Book

11th International Workshop on Robot Motion and Control RoMoCo'17 : Workshop Proceedings

Presented on

11th International Workshop on Robot Motion and Control RoMoCo 2017, 3-5.07.2017, Wąsowo, Poland

Ministry points / chapter

20