A perception-based autonomous control method, system and computer readable storage medium

By acquiring multi-source trigger signals and making comprehensive decisions, the system autonomously generates and executes control commands, solving the problems of insufficient environmental perception and insufficient equipment coordination in existing intelligent device control systems. This achieves a high level of intelligent autonomous control, improving user experience and equipment synergy.

CN122284447APending Publication Date: 2026-06-26亓泽辰
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
亓泽辰
Filing Date
2026-03-31
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing intelligent device control systems lack the ability to perceive dynamic changes in the environment and cannot autonomously generate control behaviors, resulting in limited intelligence levels, cumbersome user operations, insufficient coordination among multiple devices, and an inability to adapt to the evolution of user habits.

Method used

By acquiring multi-source control trigger signals, making comprehensive decisions including environmental state perception, user input, internal system decisions, and external entity requests, generating control decisions, and converting them into executable instructions for the target object, the system receives execution feedback to optimize the decision-making process.

Benefits of technology

It achieves closed-loop control of autonomous perception, autonomous decision-making, and intelligent execution, which enhances the system's autonomy and intelligence, reduces the user's operational burden, and improves user experience and device synergy.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122284447A_ABST
    Figure CN122284447A_ABST
Patent Text Reader

Abstract

With the development of the Internet of Things (IoT) and smart devices, more and more devices (such as smart homes, industrial robots, and in-vehicle systems) are connecting to the network. Existing technologies typically employ a passive control mode, where users issue explicit commands via voice, buttons, or apps, and the devices execute corresponding operations. This control mode suffers from drawbacks such as reliance on user commands, lack of scene awareness, cumbersome interaction, inability to collaborate across devices, and lack of learning capabilities. Therefore, a system capable of autonomously sensing the environment, proactively making decisions, and executing control is needed, enabling devices to act autonomously according to context, much like humans, thereby improving intelligence and user experience. This application provides a perception-based autonomous control method, system, and computer-readable storage medium, aiming to enable the system to autonomously acquire trigger signals, make comprehensive decisions, and convert them into executable instructions for the target object, forming a closed-loop feedback learning mechanism.
Need to check novelty before this filing date? Find Prior Art