Operation control method and device based on object flow sequence, equipment and medium

By generating a target object flow sequence independent of the operator's form and establishing a mapping relationship in the simulation environment, the problem of insufficient cross-domain applicability in robot operation learning is solved, achieving low-cost, high-precision operation control and improving the robot's adaptability and accuracy in different environments.

CN120928733APending Publication Date: 2025-11-11PING AN TECH (SHENZHEN) CO LTD
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Patent Information

Application Number
CN202511051762.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-29
Publication Date
2025-11-11

AI Technical Summary

Technical Problem

Existing robot operation learning technologies face several challenges in cross-domain applications, including difficulty in eliminating subject differences, reliance on high-cost real data for the learning process, limited transfer effects between simulation and reality, and insufficient system applicability and task generalization capabilities. In particular, they struggle to achieve low-cost, rapid deployment, and high-precision operation control in the fields of healthcare and fintech.

Method used

By acquiring demonstration data and task descriptions representing the task, a target object flow sequence independent of the operator's specific form is generated. A mapping relationship between the object flow sequence and the execution device action sequence is established in the simulation environment, a flow-conditional action strategy is generated, and the execution device action sequence is dynamically adjusted by comparing the object flow sequence in real time during execution.

Benefits of technology

It achieves cross-entity, universal, and low-cost dynamic operation control, improves the versatility, accuracy, and adaptability of the robot operating system, and reduces system development and deployment costs.

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Abstract

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as robot agent decision making, financial science and technology and medical health, and discloses an operation control method, device, equipment and medium based on an object flow sequence. The method comprises the following steps: exploring a mapping relation between an object flow sequence and an execution equipment action sequence in a simulation environment, generating a flow conditional action strategy, inputting a target object flow sequence to generate an initial execution equipment action sequence, tracking a real-time motion state of a target object to obtain a real-time object flow sequence, and comparing the real-time object flow sequence with the target object flow sequence. And dynamically adjusting the action sequence of the execution equipment based on the deviation. According to the method, the object flow and execution equipment action sequence mapping is constructed, and real-time object flow tracking and dynamic adjustment are combined, so that the influence of operator difference and environment uncertainty is reduced, and the operation accuracy and universality of the robot are improved.
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