{
  "abstract": "A system may simulate human motion for human-robot interactions, such as may involve a handover of an object. Motion capture can be performed for a hand grasping and moving an object to a location and orientation appropriate for a handover, without a need for a robot to be present or an actual handover to occur. This motion data can be used to separately model the hand and the object for use in a handover simulation, where a component such as a physics engine may be used to ensure realistic modeling of the motion or behavior. During a simulation, a robot control model or algorithm can predict an optimal location and orientation to grasp an object, and an optimal path to move to that location and orientation, using a control model or algorithm trained, based at least in part, using the motion models for the hand and object.",
  "assignees": [
    "NVIDIA CORP"
  ],
  "authors": [
    "CAKMAK MAYA",
    "CHAO YU-WEI",
    "FOX DIETER",
    "PAXTON CHRIS",
    "SUNDARALINGAM BALAKUMAR",
    "XIANG YU",
    "YANG WEI"
  ],
  "canonical_url": "https://opentechnical.org/p/OT-2026-000001752",
  "categories": [
    "robotics-automation/robot-architectures"
  ],
  "extent": {
    "figures": 0,
    "paragraphs": 0,
    "words": 147
  },
  "figures": [],
  "files": [
    {
      "bytes": 9957,
      "media_type": "text/html; charset=utf-8",
      "name": "index.html",
      "sha256": "0ba7d5a7464a2c10ed0a5d733f86ae3cf50fa0e497846e7f54275d1bd02c526d"
    },
    {
      "bytes": 1288,
      "media_type": "text/markdown; charset=utf-8",
      "name": "publication.md",
      "sha256": "ce917dfa3a513d278a00d7acf455eb097065949bac8121fef040b728be7f6182"
    },
    {
      "bytes": 1380,
      "media_type": "text/plain; charset=utf-8",
      "name": "publication.txt",
      "sha256": "e87defb99c42f79dd5c00d015362dd10b1d0689d4d3bfb915e46c5927dfaa125"
    }
  ],
  "integrity": {
    "hash_algorithm": "sha256",
    "keys_url": "https://opentechnical.org/integrity/keys",
    "record_url": "https://opentechnical.org/p/OT-2026-000001752/integrity",
    "signature_algorithm": "Ed25519",
    "signature_file": "manifest.sig",
    "verify_url": "https://opentechnical.org/integrity/verify"
  },
  "keywords": [
    "b25j9/1605",
    "b25j9/1605",
    "b25j9/1671",
    "b25j9/16",
    "b25j9/163",
    "b25j9/163"
  ],
  "language": "en",
  "license": {
    "name": "Creative Commons Attribution 4.0 International",
    "url": "https://creativecommons.org/licenses/by/4.0/"
  },
  "publication_id": "OT-2026-000001752",
  "published_at": "2026-09-15T19:08:27.867068Z",
  "publisher": "Nebula Innovations Limited",
  "record_type": "record",
  "schema": "opentechnical-publication-manifest/1.0",
  "source_date": "2026-03-19",
  "source_id": "US-2026077485-A1",
  "source_name": "the United States Patent and Trademark Office",
  "source_url": "https://patents.google.com/patent/US2026077485A1",
  "supersedes": null,
  "title": "Simulating physical interactions for automated systems",
  "uuid": "01a0a678-775a-7957-872d-0198e4b71b01"
}