{
  "$type": "site.standard.document",
  "description": "The invention relates to a computer-implemented method for determining a control trajectory for a robotic device (1), comprising the steps of: - performing (S1-S8) an information theoretic model predictive control applying a control trajectory sample prior (u*) in each time step to obtain a control…",
  "path": "/patents/1412943",
  "publishedAt": "2024-01-17T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B25J9/1605",
    "BOSCH GMBH ROBERT [DE]"
  ],
  "textContent": "The invention relates to a computer-implemented method for determining a control trajectory for a robotic device (1), comprising the steps of: - performing (S1-S8) an information theoretic model predictive control applying a control trajectory sample prior (u*) in each time step to obtain a control trajectory for a given time horizon (tf); - determining (S21) the control trajectory sample prior (u*) depending on a data-driven trajectory prediction model which is trained to output a control trajectory sample as the control trajectory sample prior (u*) based on an actual state of the robotic device (1).",
  "title": "METHOD AND DEVICE FOR SOCIALLY AWARE MODEL PREDICTIVE CONTROL OF A ROBOTIC DEVICE USING MACHINE LEARNING"
}