LEARNING
A set of dynamic artificial neural networks for robot sensor failure detection
Rafał Kapela, Aleksandra Świetlicka, Krzysztof Kolanowski, Janusz Pochmara, Andrzej Rybarczyk
- Year
- 2017
- Citations
- 3
Abstract
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.
Keywords
Artificial neural networkComputer scienceRobotMechanism (biology)Set (abstract data type)Artificial intelligenceSIGNAL (programming language)Fault detection and isolationControl engineeringEngineering
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