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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-2026048509-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-2026-000002670

Systems and methods for robot learning and controlling a robot

Published
Permanent URL
Classification
Robotics & Automation › Robot Architectures
Inventors
KOCH JUSTIN, LAMMERS MICHAEL, PORTER BRANDON, VOGELSONG MICHAEL
Assignee
COLLABORATIVE ROBOTICS
Original source
US-2026048509-A1, the United States Patent and Trademark Office, 19 February 2026
Document SHA-256
bbb2e2f7fc577c9fa26b73188aebad3142f0a991c75483988ae23b079d682ad7

Abstract

A method may include receiving input data identifying an operation to be completed in an environment. The method may also include identifying, using an artificial intelligence (AI) model, a series of tasks to be performed by robots to complete the operation based on the input data. In addition, the method may include identifying a subset of the robots to perform the series of tasks based on capabilities to be used to perform the series of tasks. Further, the method may include causing the subset of the robots to autonomously perform the series of tasks to complete the operation.

Publication information

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Citation

OpenTechnical Publication OT-2026-000002670, “Systems and methods for robot learning and controlling a robot,” published September 15, 2026 at 19:14:34 UTC, https://opentechnical.org/p/OT-2026-000002670.

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This record reproduces a document published elsewhere and is provided for reference and study. Rights in the original remain with its owner. See the publication policy.