Research on the Collaborative Mechanism Model of Robot Intelligent Identification and Scheduling Algorithm in 5G Interconnection

This paper studies the collaborative mechanism model of robot intelligent identification and scheduling based on multi-agent system, focusing on how to improve the real-time perception, identification and scheduling capabilities of robots through the high bandwidth and low latency characteristics of 5G network. In terms of system design, a scheduling strategy based on distributed collaborative algorithm is adopted to achieve efficient scheduling of robot groups in complex environments through information sharing and autonomous decision-making in multi-agent system. Model simulation verifies the adaptability and stability of the collaborative algorithm in different scenarios, and demonstrates the advantages of the algorithm in recognition accuracy, scheduling efficiency and network delay through precise data analysis. The simulation results show that the robot scheduling response time is significantly shortened in the 5 G network environment, and the overall system efficiency is improved by more than $\mathbf{2 0 \%}$. This study provides theoretical support for robot intelligent scheduling and opens up a new path for the application of 5 G technology in industrial scenarios.