Digital Twins of Collaborative Robotic Systems for Decision Support in Emergency Situations

Abstract

The paper considers the concept of digital twins of collaborative robotic systems as a tool for decision support in emergency situations. A cyber-physical system architecture is proposed that integrates a physical robotic platform, its virtual counterpart, and intelligent modules for prediction and control. It is shown that the use of a digital twin increases the soundness of managerial decisions, reduces risks for personnel, and enables more adaptive robot behavior in dynamic and uncertain environments. The results of numerical simulations are presented to confirm the effectiveness of the proposed approach