The Application of a Dendric Cell Algorithm to a Robotic Classifier

Oates, Robert; Greensmith, Julie; Aickelin, Uwe; Garibaldi, Jon; Kendall, Graham

Abstract

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.

Citation

Oates, R., Greensmith, J., Aickelin, U., Garibaldi, J., & Kendall, G. The Application of a Dendric Cell Algorithm to a Robotic Classifier. Presented at Proceedings of the 6th International Conference on Artificial Immune Systems (ICARIS 2007)

• Conference Name: Proceedings of the 6th International Conference on Artificial Immune Systems (ICARIS 2007)
• Deposit Date: Oct 12, 2007
• Peer Reviewed: Peer Reviewed
• Public URL: https://nottingham-repository.worktribe.com/output/1017687