{
  "abstract": "Apparatuses, systems, and techniques are described that solve task and motion planning problems. In at least one embodiment, a task and motion planning problem is modeled using a geometric scene graph that records positions and orientations of objects within a playfield, and a symbolic scene graph that represents states of objects within context of a task to be solved. In at least one embodiment, task planning is performed using symbolic scene graph, and motion planning is performed using a geometric scene graph.",
  "assignees": [
    "NVIDIA CORP"
  ],
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    "BIRCHFIELD STANLEY THOMAS",
    "TREMBLAY JONATHAN",
    "ZHU YIFENG",
    "ZHU YUKE"
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  "source_date": "2026-04-02",
  "source_id": "US-2026091496-A1",
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  "supersedes": null,
  "title": "Machine learning model for task and motion planning",
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