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This is a record of a document published elsewhere, first published by the United States Patent and Trademark Office, as US-2026099147-A1, on 9 April 2026. OpenTechnical did not first disclose it. The identifier, hashes and timestamps below record what this library served and when, not when the material became public. View the original.

OT-2026-000001027

Systems and methods for detection of features within data collected by a plurality of robots by a centralized server

Published
Permanent URL
Classification
Sensors, Controls & Machine Vision › Industrial Control
Inventors
ROSS DAVID, SZATMARY BOTOND
Assignee
BRAIN CORP
Original source
US-2026099147-A1, the United States Patent and Trademark Office, 9 April 2026
Document SHA-256
cbd1d2000433294eff7d8c724b8743c35025cc2c384db46457b15ff7ef48a2fa

Abstract

Systems and methods for detection of features within data collected by a plurality of robots by a centralized server are disclosed herein. According to at least one non-limiting exemplary embodiment, a plurality of robots may be utilized to collect a substantial amount of feature data using one or more sensors coupled thereto, wherein use of the plurality of robots to collect the feature data yields accurate localization of the feature data and consistent acquisition of the feature data. Systems and methods disclosed herein further enable a cloud server to identify a substantial number of features within the acquired feature data for purposes of generating insights. The substantial number of features far exceed a practical number of features of which a single neural network may be trained to identify.

Publication information

Citation

OpenTechnical Publication OT-2026-000001027, “Systems and methods for detection of features within data collected by a plurality of robots by a centralized server,” published September 15, 2026 at 19:03:45 UTC, https://opentechnical.org/p/OT-2026-000001027.

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