{
  "$type": "site.standard.document",
  "description": "Disclosed are methods of navigating a robot in a crowd involving mapping a local crowd and applying a clustering algorithm that reconstructs a crowd-flow map capturing movement patterns of pedestrians in the local crowd; using a flow-matching metric, localizing the robot in the crowd-flow map; and…",
  "path": "/patents/1333063",
  "publishedAt": "2022-12-08T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G01C21/3837",
    "THE UNIVERSITY OF HONG KONG"
  ],
  "textContent": "Disclosed are methods of navigating a robot in a crowd involving mapping a local crowd and applying a clustering algorithm that reconstructs a crowd-flow map capturing movement patterns of pedestrians in the local crowd; using a flow-matching metric, localizing the robot in the crowd-flow map; and following a movement pattern in the crowd-flow map using a hierarchical crowd-driven planning on a long time horizon and a short time horizon.",
  "title": "CROWD-DRIVEN MAPPING, LOCALIZATION AND SOCIAL-FRIENDLY NAVIGATION SYSTEM"
}