For the welding cell in the manufacturing process of large excavation motor arm workpieces, a system framework, based on a digital twin welding robot cell, is proposed and constructed in order to optimize the robotic collaboration process of the welding workstation with digital twin technology. For the automated welding cell, combined with the actual robotic welding process, the physical entity was digitally modeled in 3D, and the twin welding robot operating posture process beats and other data were updated in real time, through real-time interactive data drive, to achieve real-time synchronization and faithful mapping of the virtual twin as well as 3D visualization and monitoring of the system. For the robot welding process in the arc welding operation process, a mathematical model of the kinematics of the welding robot was established, and an optimization method for the placement planning of the initial welding position of the robot base was proposed, with the goal of smooth operation of the robot arm joints, which assist in the process simulation verification of the welding process through the virtual twin scenario. The implementation and validation process of welding process optimization, based on this digital twin framework, is introduced with a moving arm robot welding example.

In the current intelligent manufacturing scenario, single-mode perception limits the accuracy and safety of the human-robot collaboration process, and cannot adapt to the assembly operation requirements of robots in complex industrial environments. To solve these problems, this paper proposes a Human-Robot Collaboration (HRC) framework for a dual-robot intelligent assembly system based on multimodal perception. This framework aims to provide multimodal information interaction for robot control through gesture perception, speech perception, human body perception, and visual perception. To verify the effectiveness of this framework, it was applied to the assembly scene of the integrally shrouded blade-rotor system. Experiments show that the multimodal perception dual-robot intelligent assembly system can better realize the HRC assembly of the integrally shrouded blade and improve the intelligence of the assembly process. It shows that the framework can promote robots to flexibly and accurately perceive information among people, robots, and objects to complete intelligent assembly. The multimodal information interaction effectively improves the operational robustness of the dual-robot intelligent assembly system in complex industrial environments and complex tasks.