Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Self-Nonself Discrimination in a Computer
SP '94 Proceedings of the 1994 IEEE Symposium on Security and Privacy
An immunogenetic approach in chemical spectrum recognition
Advances in evolutionary computing
Robot Error Detection Using an Artificial Immune System
EH '03 Proceedings of the 2003 NASA/DoD Conference on Evolvable Hardware
A comparative analysis of artificial immune network models
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
An innate immune system for the protection of computer networks
WISICT '05 Proceedings of the 4th international symposium on Information and communication technologies
Using retrieval measures to assess similarity in mining dynamic web clickstreams
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Decentralized control system for autonomous navigation based on an evolved artificial immune network
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Don't touch me, i'm fine: robot autonomy using an artificial innate immune system
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
An Immuno-engineering Approach for Anomaly Detection in Swarm Robotics
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
An Affinity Based Complex Artificial Immune System
International Journal of Digital Library Systems
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Robot anomaly detection method described in this paper uses an approach inspired by an immune system for detecting failures within autonomous robot system. The concept is based on self-nonself discrimination and clonal selection principles found within the natural immune system. The approach applies principles of fuzzy logic for representing and processing the information within the artificial immune system. Throughout the paper we explain the working principle of RADE (Robot Anomaly Detection Engine) approach and we show its practical effectiveness through several experimental test cases.