The Application of a Dendritic Cell Algorithm to a Robotic Classifier

Abstract

The dendritic cell algorithm is an immune-inspired technique for processing time-dependent 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.