Robot Management in Populated Areas
    1.
    发明公开

    公开(公告)号:US20240246560A1

    公开(公告)日:2024-07-25

    申请号:US18159663

    申请日:2023-01-25

    CPC classification number: B60W60/001 B60W2555/00

    Abstract: The techniques and systems herein enable robot management in populated areas. Specifically, a vehicle system receives sensor data indicating aspects of an environment proximate a vehicle that comprises the vehicle system. Based on the sensor data, it is determined whether robots are in the environment proximate the vehicle. Responsive to determining that a robot is in the environment proximate the vehicle, attributes of the robot are determined based on the sensor data. A robot message is then generated that includes indications of the attributes of the robot, and the robot message is transmitted for receipt by a robot management system. By using the described techniques, the robot management system can leverage the vast number of vehicles with advanced sensor suites to monitor robots. Doing so may enable verification of routes and identification of robots that are not registered.

    Robot Management in Populated Areas
    2.
    发明公开

    公开(公告)号:US20240246243A1

    公开(公告)日:2024-07-25

    申请号:US18159650

    申请日:2023-01-25

    CPC classification number: B25J13/006 B25J9/1602 B25J11/008 H04W4/12 H04W4/40

    Abstract: The techniques and systems herein enable robot management in populated areas. Specifically, a robot management system receives, from a robot system, a requested route and time for the robot system to travel. A dynamic map that includes dynamic and temporal information about an area of the requested route is then used to determine whether the requested route and time are approved, approved with a modified route or time, or disapproved. An approval message, a modified approval message, or a disapproval message is then generated and sent to the robot system. By using the described techniques, municipalities can monitor, manage, and regulate robots across various operators and locations. Doing so may prevent a high density of robots along various routes, disruptions to the services of such robots, and/or disruptions to surrounding pedestrians and vehicles.

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