{
  "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.",
  "assignees": [
    "HONDA MOTOR CO LTD"
  ],
  "authors": [
    "GIENGER MICHAEL",
    "TANNEBERG DANIEL"
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  "source_date": "2026-03-17",
  "source_id": "US-12576519-B2",
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  "supersedes": null,
  "title": "Learning type-generalized skills for symbolic planning for autonomous devices",
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}
