Autonomous control of devices

The method allows devices to autonomously learn and adapt by iteratively converting operation outcomes into target outcomes, overcoming the need for extensive training data and reducing errors in dynamic environments.

JP7874366B2Active Publication Date: 2026-06-16シュレイバーカール アルバート
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
シュレイバーカール アルバート
Filing Date
2023-06-19
Publication Date
2026-06-16

AI Technical Summary

Technical Problem

Existing artificial intelligence methods for controlling devices require extensive training data preparation, which is costly and prone to errors, and distributed learning is complex and error-prone, especially in dynamic environments.

Method used

A method for autonomous control that initializes devices through random operation of effectors, records interactions using internal and external sensors, and learns to convert operation outcomes into target outcomes iteratively, allowing devices to autonomously accumulate knowledge without prior training data.

Benefits of technology

Enables devices to recognize and adapt to new situations, minimize preparation tasks, and continuously improve their operational knowledge, ensuring reliable and efficient operation in dynamic environments.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention is directed to a method for autonomously controlling a device, whereby the device moves generally in the physical real world and no longer needs to be further restricted with respect to its physical configuration. The method yields the advantage that the device autonomously learns and continuously improves its learned knowledge or behavior. Generally, the method overcomes the drawback of the prior art that training data must first be created, as in traditional artificial intelligence methods. Generally, the method can be used universally, and the device automatically learns and constantly modifies its own knowledge base. Furthermore, devices set up to perform the method are proposed, as well as system configurations comprising some of the proposed devices. Furthermore, computer program products and computer-readable storage media are proposed for performing the method steps or for causing a computer to perform the method.
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