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Fault detection in robot sensors using negative selection algorithm

Muhammad Tahir Khan, Saddam Hussain, S. Bakhtair, A. Zeb Khan, Syed Mohammad Ali Javed, Javaid Iqbal

Year
2014
Citations
3

Abstract

This paper describes the methodology for fault detection in autonomous mobile robots. In this, artificial immune system based approach; a set of fault detectors is generated using negative selection algorithm which is responsible for detecting faulty behavior of system. The idea is based on the self-non self-discrimination observed in biological immune system. The feasibility of scheme is implemented on sensors of simulated mobile robot.

Keywords

Mobile robotArtificial immune systemComputer scienceFault detection and isolationRobotDetectorFault (geology)Selection (genetic algorithm)Set (abstract data type)Artificial intelligence

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