Situation assessment by way of object recognition in autonomous mobile robots

EP4771456A2Pending Publication Date: 2026-07-08ROTRADE ASSET MANAGEMENT GMBH
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Patent Information

Authority / Receiving Office
EP · EP
Patent Type
Applications
Current Assignee / Owner
ROTRADE ASSET MANAGEMENT GMBH
Filing Date
2022-01-14
Publication Date
2026-07-08

AI Technical Summary

Technical Problem

Autonomous mobile robots (AMRs) face challenges in accurately recognizing and classifying objects in their environment, leading to inefficient task execution and limited adaptability to changing situations, as they primarily recognize obstacles rather than specific objects and do not effectively assess situations to adjust their behavior.

Method used

The method involves using navigation sensors to detect objects, classify them using a classifier, and store this information in an electronic map, allowing the AMR to subdivide its operational area, determine task completion probabilities, and define data protection areas, enabling intelligent behavior adaptation based on situation assessment.

Benefits of technology

This approach enhances the AMR's ability to perform tasks efficiently by accurately recognizing objects, adapting behavior to situations, and optimizing task sequencing, while ensuring data privacy in designated areas, leading to improved service quality and robot autonomy.

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Abstract

RAT026WO Robart GmbH 72 ABSTRACT A description is given of a method for an autonomous mobile robot (AMR). According to one exemplary embodiment, the method comprises navigating the AMR through an operational area with the aid of one or more navigation sensors: acquiring information about the surroundings of the AMR in the operational area; automatically detecting subareas within the operational area and classifying the detected subareas by way of a classifier based on the acquired information, wherein an area class is determined; and storing detected subareas, including the ascertained area class, in an electronic map of the AMR.
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