{
  "$type": "site.standard.document",
  "description": "Apparatuses, systems, and techniques to determine a trajectory (e.g., to be used to control a device). In at least one embodiment, an autonomous or semi-autonomous machine (e.g., a vehicle) is controlled based, at least in part on, for example, one or more machine learning processes, such as one or…",
  "path": "/patents/1377447",
  "publishedAt": "2025-12-18T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W60/0027",
    "NVIDIA Corporation"
  ],
  "textContent": "Apparatuses, systems, and techniques to determine a trajectory (e.g., to be used to control a device). In at least one embodiment, an autonomous or semi-autonomous machine (e.g., a vehicle) is controlled based, at least in part on, for example, one or more machine learning processes, such as one or more neural networks. In at least one embodiment, a trajectory is predicted using one or more first machine learning processes trained to imitate real-world observations, and one or more second machine learning processes trained to imitate results obtained by performing at least one simulation. In at least one embodiment, a computing system causes at least one device to move in accordance with the predicted trajectory.",
  "title": "PREDICTING A TRAJECTORY USING ONE OR MORE NEURAL NETWORKS"
}