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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-12576519-B2, on 17 March 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-2026-000001876

Learning type-generalized skills for symbolic planning for autonomous devices

Published
Permanent URL
Classification
Robotics & Automation › Robot Architectures
Inventors
GIENGER MICHAEL, TANNEBERG DANIEL
Assignee
HONDA MOTOR CO LTD
Original source
US-12576519-B2, the United States Patent and Trademark Office, 17 March 2026
Document SHA-256
39fc4097fc3f1c2dd68ce118c9ef4aa940f00873375a182816263e13dc1a5cf6

Abstract

The present disclosure relates to a computer-implemented method for learning operators for planning a behavior of an autonomous device. The method includes obtaining a set of training data including observations of a plurality of skills executable by the autonomous device in an interaction with at least one entity for addressing a first task, obtaining a predetermined set of data defining a hierarchy of entities including the at least one entity, learning a set of individual skills based on the obtained set of training data, generating a set of generalized skills by generalizing the learned set of individual skills based on the predetermined set of data that defining a hierarchy of entities, performing behavior planning of the autonomous device for addressing a second task different from the first task based on the generalized set of skills.

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Citation

OpenTechnical Publication OT-2026-000001876, “Learning type-generalized skills for symbolic planning for autonomous devices,” published September 15, 2026 at 19:09:13 UTC, https://opentechnical.org/p/OT-2026-000001876.

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