Behavior simulation method of mobile agent applied to emergency rescue scene

By generating an initial simulation environment in an emergency rescue scenario and extracting environmental data locally, the behavior planning simulation of an autonomous rescue robot is realized. This solves the problem of insufficient robustness and accuracy of robot behavior planning under harsh environments and improves the stability and precision of robot control.

CN121995791AActive Publication Date: 2026-05-08BEIJING HUACHUANGYUWEI TECH CO LTD
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Patent Information

Application Number
CN202610104108.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-26
Publication Date
2026-05-08
Estimated Expiration
2046-01-26

AI Technical Summary

Technical Problem

In emergency rescue scenarios, existing technologies struggle to effectively plan robot behavior in harsh environments, especially due to the complexity of the rescue environment and the instability of fiber optic control, resulting in insufficient robot control precision and robustness.

Method used

By generating an initial simulation environment and combining it with agent description information to locally extract environmental data, environmental and agent state features are generated, enabling behavioral planning simulation of autonomous rescue robots. Sensor data acquisition and perception are used for full-link simulation.

Benefits of technology

It improves the robustness and accuracy of robot behavior planning in different emergency rescue scenarios, and solves the problems of insufficient control stability and precision in traditional methods.

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Abstract

The embodiment of the invention discloses a behavior simulation method of a mobile agent applied to an emergency rescue scene. A specific embodiment of the method comprises the following steps: generating an initial simulation environment according to scene environment information and analogue simulation configuration information; according to the agent description information corresponding to the mobile agent, environment data local extraction is carried out in the initial simulation environment, and a real-time environment information set is obtained; generating environment state characteristics and agent state characteristics according to the real-time environment information set and the agent real-time state corresponding to the mobile agent; generating behavior planning information for the mobile intelligent agent according to the environment state characteristics and the intelligent agent state characteristics; and performing behavior simulation on the mobile intelligent agent according to the behavior planning information and the real-time orientation of the intelligent agent. According to the embodiment, the robustness and accuracy of behavior planning of the mobile robot in different emergency rescue scenes are improved.
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