Robot-Measured Coverage Maps for Accurate Network Signature Localization

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Solution Overview

Problem

Existing methods for mapping Wi-Fi and cellular coverage rely on human measurement, which is impractical due to high costs, labor inefficiencies, and the inability to provide temporally accurate coverage maps.

Innovation Solution

Utilizing robots equipped with sensors to measure and generate network signatures and coverage maps, enabling accurate and continuous localization of devices within environments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If human measurement methods are used to map Wi-Fi and cellular coverage, then the process can be completed, but it results in high costs, labor inefficiencies, and inability to provide temporally accurate coverage maps

Engineering Contradiction:

Improvecoverage map accuracyVSAvoidmeasurement efficiency

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent replaces human-based mechanical measurement processes with an automated robotic system. The robot autonomously navigates the environment, collects network signature data at multiple locations, and generates coverage maps without human intervention, thereby eliminating labor inefficiencies while maintaining measurement accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The robotic system performs self-navigation and self-measurement throughout the environment. The robot independently moves to predetermined locations, collects network coverage data, and generates coverage maps autonomously, enabling continuous and temporally accurate measurements without requiring human operators

Inventive Principle:

Principle #25Self-service

2Reliability

If human measurement is used, then coverage maps can be generated, but the process is impractical and cannot provide temporally accurate continuous coverage data

Engineering Contradiction:

Improvetemporal accuracy of coverage mapsVSAvoidpracticality of measurement process

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The patent substitutes human operators with an automated robotic system that can continuously and reliably collect network coverage data at predetermined intervals. This automation ensures temporal accuracy by systematically measuring coverage at consistent time and spatial intervals, while the robotic system's autonomous operation makes the process practical and scalable

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The robotic system enables continuous coverage map generation by autonomously navigating to multiple predetermined locations and collecting network signature data continuously. This continuous measurement capability provides temporally accurate coverage maps, as the robot can repeatedly traverse the environment and update coverage data without interruption or human intervention

Inventive Principle:

Principle #20Continuity of useful action

Data Source

PatentUS20250237732A1System and method for localizing devices using network signatures and coverage maps measured by robots

Publication Date: 2025.07.24 BRAIN CORP

AI summary

Systems and methods for localizing devices using network signatures and coverage maps measured by robots are disclosed herein. According to at least one non-limiting exemplary embodiment, a robot may generate a coverage map based on measurements collected during operation of the robot. The coverage map generated by the robot may be temporally accurate such that a device may be localized within the coverage map based on a received network signature from the device. The network signature comprising a measure of amplitudes of Wi-Fi networks and/or cellular networks at a point within an environment of the coverage map.