International Journal of Computer Vision
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
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Articulation and clarification of the dendritic cell algorithm
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Introducing dendritic cells as a novel immune-inspired algorithm for anomaly detection
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Sensing danger: Innate immunology for intrusion detection
Information Security Tech. Report
The Deterministic Dendritic Cell Algorithm
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
The Limitations of Frequency Analysis for Dendritic Cell Population Modelling
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Integrating real-time analysis with the dendritic cell algorithm through segmentation
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Exploration of the Dendritic Cell Algorithm Using the Duration Calculus
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
A modified dendritic cell algorithm for on-line error detection in robotic systems
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
The implementation of a novel, bio-inspired, robotic security system
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Review Article: Recent Advances in Artificial Immune Systems: Models and Applications
Applied Soft Computing
Towards an artificial immune system for online fraud detection
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
The danger theory applied to vegetal image pattern classification
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
Adaptive data-driven error detection in swarm robotics with statistical classifiers
Robotics and Autonomous Systems
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The dendritic cell algorithm is an immune-inspired technique for processing time-dependant data. Here we propose it as a possible solution for a robotic classification problem. The dendritic cell algorithm is implemented on a real robot and an investigation is performed into the effects of varying the migration threshold median for the cell population. The algorithm performs well on a classification task with very little tuning. Ways of extending the implementation to allow it to be used as a classifier within the field of robotic security are suggested.