Embodied intelligent task allocation method and system in business hall service scene based on game theory

By constructing a game theory-based task allocation model in the service hall scenario, and combining task priority and robot resources, the Nash equilibrium theory is used to optimize task allocation, thus solving the problem of low task allocation efficiency in the service hall and achieving efficient and fair task execution.

CN122452989APending Publication Date: 2026-07-24JIANGSU XINWANG VIDEO SOFTWARE TECH CO LTD +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JIANGSU XINWANG VIDEO SOFTWARE TECH CO LTD
Filing Date
2026-04-08
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve efficient and reasonable task allocation in service hall scenarios, and traditional methods fail to effectively adapt to complex and dynamic needs, resulting in low task execution efficiency and insufficient resources.

Method used

A game theory-based task allocation method is adopted. By constructing a non-cooperative game model, combining task priority, robot capabilities and resource consumption, and using Nash equilibrium theory to optimize task allocation, the method ensures that the strategy chosen by each robot is optimal in the interaction, thus achieving fair and efficient task allocation.

Benefits of technology

It achieves precise matching between tasks and robots, improves the dynamic adaptability and robustness of service robots, and adapts to the dynamic changes in the complex service environment of the business hall.

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Abstract

The present application relates to the task allocation technical field of embodied intelligent robot, disclose a kind of embodied intelligent task allocation method and system under the business hall service scene based on game theory, the method includes: to business hall task and robot are classified modeling, construct non-cooperative game model;While defining multi-dimensional utility and cost function with scene weight, quantifying task execution value and robot execution cost;By initial global and dynamic increment dual-layer mode solving Nash equilibrium, generate initial optimal allocation strategy, obtain executable dispatching table by priority level layer scheduling and resource conflict resolution, send to robot and execute task.The method of the present application can realize the accurate matching of tasks and robots, and the individual optimal solution naturally converts into the global optimal solution, while considering the allocation efficiency and fairness, improving the dynamic adaptability and robustness of service robot tasks, and adapting to the actual needs of business hall service scene.
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