Classification of Causes of Errors in the Human - Robot System

The very first classification of causes of errors in the human - robot system has been presented in this paper. This new model of error classification in the human - robot system has a global character. This means that it includes the causes of the errors of the individual components of the system, but also the errors that result from their interaction.The model also includes all the factors surrounding this system, which can act as the cause of errors in the human - robot system. This model distinguishes five main groups of causes of errors, described in the paper. The classification of errors in the human - robot system has great importance. It can serve to designers as a guide or reminder on factors that should be taken into account during designing, in order to reduce the errors in the human - robot system. In addition, this model can serve to assess the efficiency and possible causes of accidents in the human - robot system. Certain general solutions for the reduction of causes of errors in the human - robot system are also presented.