A Digital Twin System for Collaborative Manufacturing of Robotic Swarms in Major Equipment

This paper proposes a digital twin framework for collaborative manufacturing using robotic swarms in major equipment production, addressing challenges in heterogeneous data processing, large-scale scene perception, and dynamic task planning. By integrating multi-source data synchronization and cyber-physical coordination mechanisms, the system enables real-time simulation, monitoring, and optimization of multi-robot trajectories and machining processes. Implemented in a cloud-edge-end architecture, it enhances manufacturing precision and efficiency, advancing the development of intelligent industrial systems.