Cognitive Human Modeling in Collaborative Robotics

Abstract

In today's INDUSTRY 4.0 context, the growing need to improve performances and sustainability of working environment is looking forward to developing interoperable and service-oriented systems with real time capabilities. This is boosting the installation of decentralized and reliable robotics cells with flexible cooperative capabilities. They enroll smart operators'flexibility and robot productivity in collaborative robotics (properly cobots) applications. This paper consists of a state-of-the-art review on cognitive load in manufacturing with characterization of human-robot collaboration. A simulated analysis of a collaborative working cell is performed. An Agent Based (AB) model is presented with application in the automotive sector. The cell consists of logistics AGVs equipped with a manipulator. They interact with working robots and human operator. Robots collaborate in cell and they cooperate with operator on assisted task using Human Machine Interfaces (HMI). The load of human in the collaborative work-cell– set on state of art - is measured according with Functional states over different Behavioral Structures (FBS). We quantified the load of cognitive factors while reporting interaction analysis. Some factors as age and interface complexity and recovery strategy are investigated while reporting their effect on a dynamic variable, i.e., physical stress properly fatigue. This acts on productivity and operational outcomes.