Human Factor Modelling in the Collaborative Robotic Process Control System

Abstract

A promising direction in the development of robotics is collaborative robotics under control of artificial intelligence systems. Such socio-cyber-physical systems are able to provide a synergistic effect in implementation of weakly determined technological processes. Nevertheless, there is a low degree of efficiency of known methods for integrating human factor models within robotic process` digital twin, as well as the lack of unified methodologies for developing models themselves that describe human condition and its impact on technological process key indicators. As part of the study, the tasks of forming theoretical foundations, methodologies and applied implementations aimed at increasing attractiveness of collaborative solutions for industrial enterprises are set. The result is achieved by improving quality and degree of integration of human factors models into robotic process` digital twins. An idea is proposed that consists in building a socio-cyber-physical system based on cobot models and a human factor model in context of "subject-subject" interaction, which will allow delegating more management functions to the ICS and provide greater flexibility for intelligent process control and an increased degree of robustness to an unfavorable state manifestation person. A conceptual model of the human factor and a prototype model of interaction between robot and operator are proposed. The mathematical model will allow taking into account toperator current state when designing a response to a disturbance, maintaining the high-level quality of collaborative production process. Software architecture elements and procedure for organizing the modes of operation of the ICS are presented.