{
  "abstract": "A computer-implemented method, a computer-implemented device, a system and a computer program product for environment-specific determination of at least one action option of a movable robot part includes acquiring information associated with an environment of the movable robot part, converting the acquired information into a description of the environment, providing the description to a first trained neural network that determines the at least one action option based on the description provided, determining whether the provided at least one action option is defined to an extent sufficient to be implemented by the movable robot part, initiating a dialog with an auxiliary entity different from the robot part to acquire further context information upon determining that the provided at least one action option is not sufficiently defined, and providing the at least one action option to a controller of the movable robot part.",
  "assignees": [
    "SIEMENS AG"
  ],
  "authors": [
    "GEIER INGO",
    "TEUCHERT MATTHIAS",
    "TOKIC MICHEL",
    "VON BEUNINGEN ANJA"
  ],
  "canonical_url": "https://opentechnical.org/p/OT-2026-000001431",
  "categories": [
    "robotics-automation/robot-architectures"
  ],
  "extent": {
    "figures": 0,
    "paragraphs": 0,
    "words": 141
  },
  "figures": [],
  "files": [
    {
      "bytes": 10111,
      "media_type": "text/html; charset=utf-8",
      "name": "index.html",
      "sha256": "33a417dedfb0b6d7ceee253ed7eaa418e34bfaf0a4dffde8ed64ede90ac260cf"
    },
    {
      "bytes": 1428,
      "media_type": "text/markdown; charset=utf-8",
      "name": "publication.md",
      "sha256": "4cf71e74d556cc5c3b273a99138a3896f118da688d69a215279440d3b2078f3c"
    },
    {
      "bytes": 1501,
      "media_type": "text/plain; charset=utf-8",
      "name": "publication.txt",
      "sha256": "9b2f61c6164848b18c705b0c725cc01406adf46d9cfd0c4fe7e436355b34ee18"
    }
  ],
  "integrity": {
    "hash_algorithm": "sha256",
    "keys_url": "https://opentechnical.org/integrity/keys",
    "record_url": "https://opentechnical.org/p/OT-2026-000001431/integrity",
    "signature_algorithm": "Ed25519",
    "signature_file": "manifest.sig",
    "verify_url": "https://opentechnical.org/integrity/verify"
  },
  "keywords": [
    "b25j9/163",
    "b25j9/163",
    "b25j9/163",
    "b25j9/16",
    "g06n3/045",
    "g06n3/045"
  ],
  "language": "en",
  "license": {
    "name": "Creative Commons Attribution 4.0 International",
    "url": "https://creativecommons.org/licenses/by/4.0/"
  },
  "publication_id": "OT-2026-000001431",
  "published_at": "2026-09-15T19:05:47.912032Z",
  "publisher": "Nebula Innovations Limited",
  "record_type": "record",
  "schema": "opentechnical-publication-manifest/1.0",
  "source_date": "2026-03-26",
  "source_id": "US-2026084299-A1",
  "source_name": "the United States Patent and Trademark Office",
  "source_url": "https://patents.google.com/patent/US2026084299A1",
  "supersedes": null,
  "title": "Recognizing and Dealing with Unknown Situations in an Industrial Environment",
  "uuid": "01a0a676-0687-79c2-94be-9351d72bca65"
}