Human cognition assisted control of industrial robots in manufacturing
In this research, we explored a potential industrial manufacturing application of Brain Computer Interface (BCI). Using Brain Computer Interface, we can build a classification system with human cognition based on P300 wave in subjects' Electroencephalogram (EEG). We discussed the detection of P300 and build a classifier with AdaBoost algorithm to classify P300 wave. Then a BCI-robot system is created to complete an industrial task that a robot picking bad bolts out of good ones from a moving conveyor based on the classification result of P300 waves. The accuracy of bolt detection is 57%.