Controlling method of industrial robots based on the electroencephalogram

This paper puts forward a model of the seamless collaboration between human and industrial robot depending on the technology of using the electroencephalogram(EEG) to control the movement of industrial robots. Wavelet packet decomposition is operated on the EEG signals for analysis. EEG signal features that industrial robot motion control needs are extracted as motion control input signals. A database is built for the decomposition of industrial robot movements. In order to prove the theory mentioned above, a system model of human-robot cooperation industrial robot controlled by the EEG signals is set up, which can be used in complex collaborative assembly.