OTHER
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
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
Open access📊 20,501 cites
Fractional Differential Equations
Igor Podlubný
2025
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991