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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-2026054929-A1, on 26 February 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-2026-000002498

Artificial intelligence control and optimization of agent tasks in a warehouse

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Classification
Material Handling › Conveying Systems
Inventors
ABEL BENGT, ALBRECHT STEFANO, HUBERTH DANIEL, KRNJAIC ALEKSANDAR
Assignee
DEMATIC GMBH, DEMATIC PTY LTD, STILL GMBH
Original source
US-2026054929-A1, the United States Patent and Trademark Office, 26 February 2026
Document SHA-256
1837a128bc9f1dd0580e3315c900b5ca0b1656611657321c6ef6e9c67c663821

Abstract

A control system for a warehouse includes a controller for communicating commands for execution by item carrying vehicles, robotic pickers, and human workers. A warehouse simulation performs simulated runs of order picking and replenishment activities. The simulated results and experience data are recorded and stored in storage. The stored data includes operational data including live results and experience data that was recorded while the workers were performing according to the executable commands from the controller. A training module receives the simulation results, the simulated experience data, and the recorded operational data from the storage. The training module trains an algorithm using the simulated data and the operational data. The training module generates an updated algorithm for the controller. Using the updated algorithm, the controller communicates executable commands to the workers.

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Citation

OpenTechnical Publication OT-2026-000002498, “Artificial intelligence control and optimization of agent tasks in a warehouse,” published September 15, 2026 at 19:13:28 UTC, https://opentechnical.org/p/OT-2026-000002498.

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