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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-2026050262-A1, on 19 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-2026-000002742

Method and System for Training and Localizing an Autonomous Forklift

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Classification
Sensors, Controls & Machine Vision › Industrial Control
Inventors
CORNEW THOMAS MARC, FLANAGAN LIAM, KABIR MOHAMMED HANIF, MIKHALEV ALEXANDER JOSEPH, REED ELIJAH, WU YUE
Assignee
CORVUS ROBOTICS INC
Original source
US-2026050262-A1, the United States Patent and Trademark Office, 19 February 2026
Document SHA-256
4eced4f9c4dd261de3bcba590e37b3f48be9f7caba62ff007d6fada39a0e180c

Abstract

A localization system for a forklift performing inventory management is disclosed. The system may access map data comprising a dimensional layout of a warehouse environment. The method includes receiving from one or more forklift sensors associated with a forklift, forklift operation data, the forklift operation data indicative of one or more forklift operation behaviors performed during an operation period. The method includes receiving from one or more scanning sensors, inventory data, the inventory data indicative of one or more inventory items scanned during the operation period. The method includes, based at least in part on the map data, the forklift operation data, and the inventory data, concurrently generating localization data to localize the forklift in the warehouse environment during the operation period.

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Citation

OpenTechnical Publication OT-2026-000002742, “Method and System for Training and Localizing an Autonomous Forklift,” published September 15, 2026 at 19:15:03 UTC, https://opentechnical.org/p/OT-2026-000002742.

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